diff --git a/.gitignore b/.gitignore
index 54aedb76f..b80511bfd 100644
--- a/.gitignore
+++ b/.gitignore
@@ -8,6 +8,8 @@ py/workspace/
 uploads/
 env/
 **/__pycache__
+**/.mypy_cache
+**/.pytest_cache
 dump/*
 .next
 node_modules
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 1a086bbdc..73010fcef 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -23,3 +23,10 @@ repos:
         language: system
         types: [python]
         pass_filenames: false
+
+      - id: mypy
+        name: mypy
+        entry: bash -c 'cd py && poetry run mypy .'
+        language: system
+        types: [python]
+        pass_filenames: false
diff --git a/docs/api-reference/openapi.json b/docs/api-reference/openapi.json
index ef1a7fa88..a44a15e9d 100644
--- a/docs/api-reference/openapi.json
+++ b/docs/api-reference/openapi.json
@@ -1 +1 @@
-  -H \"Authorization: Bearer YOUR_API_KEY\" \\\n  -F \"file=@pg_essay_1_v2.txt;type=text/plain\" \\\n  -F 'document_ids=[\"b4ac4dd6-5f27-596e-a55b-7cf242ca30aa\"]'\n"}]}},"/v2/health":{"get":{"summary":"Health Check","operationId":"health_check_v2_health_get","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}}}}},"/v2/server_stats":{"get":{"summary":"Server Stats","operationId":"server_stats_v2_server_stats_get","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_ServerStats_"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/update_prompt":{"post":{"summary":"Update Prompt App","operationId":"update_prompt_app_v2_update_prompt_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_update_prompt_app_v2_update_prompt_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_UpdatePromptResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/add_prompt":{"post":{"summary":"Add Prompt App","operationId":"add_prompt_app_v2_add_prompt_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_add_prompt_app_v2_add_prompt_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_UpdatePromptResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/get_prompt/{prompt_name}":{"get":{"summary":"Get Prompt App","operationId":"get_prompt_app_v2_get_prompt__prompt_name__get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"prompt_name","in":"path","required":true,"schema":{"type":"string","description":"Prompt name","title":"Prompt Name"},"description":"Prompt name"},{"name":"inputs","in":"query","required":false,"schema":{"anyOf":[{"type":"string","contentMediaType":"application/json","contentSchema":{"type":"object"}},{"type":"null"}],"description":"JSON-encoded prompt inputs","title":"Inputs"},"description":"JSON-encoded prompt inputs"},{"name":"prompt_override","in":"query","required":false,"schema":{"anyOf":[{"type":"string"},{"type":"null"}],"description":"Prompt override","title":"Prompt Override"},"description":"Prompt override"}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_UpdatePromptResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/get_all_prompts":{"get":{"summary":"Get All Prompts App","operationId":"get_all_prompts_app_v2_get_all_prompts_get","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_AllPromptsResponse_"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/delete_prompt/{prompt_name}":{"delete":{"summary":"Delete Prompt App","operationId":"delete_prompt_app_v2_delete_prompt__prompt_name__delete","security":[{"HTTPBearer":[]}],"parameters":[{"name":"prompt_name","in":"path","required":true,"schema":{"type":"string","description":"Prompt name","title":"Prompt Name"},"description":"Prompt name"}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/analytics":{"get":{"summary":"Get Analytics App","operationId":"get_analytics_app_v2_analytics_get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"filter_criteria","in":"query","required":false,"schema":{"anyOf":[{"type":"string","contentMediaType":"application/json","contentSchema":{"type":"object"}},{"type":"null"}],"default":{},"title":"Filter Criteria"}},{"name":"analysis_types","in":"query","required":false,"schema":{"anyOf":[{"type":"string","contentMediaType":"application/json","contentSchema":{"type":"object"}},{"type":"null"}],"default":{},"title":"Analysis Types"}}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_AnalyticsResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/logs":{"get":{"summary":"Logs App","operationId":"logs_app_v2_logs_get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"run_type_filter","in":"query","required":false,"schema":{"anyOf":[{"type":"string"},{"type":"null"}],"default":"","title":"Run Type Filter"}},{"name":"offset","in":"query","required":false,"schema":{"type":"integer","minimum":0,"default":0,"title":"Offset"}},{"name":"limit","in":"query","required":false,"schema":{"type":"integer","maximum":1000,"minimum":1,"default":100,"title":"Limit"}}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_List_LogResponse__"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/app_settings":{"get":{"summary":"App Settings","operationId":"app_settings_v2_app_settings_get","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_AppSettingsResponse_"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/score_completion":{"post":{"summary":"Score Completion","operationId":"score_completion_v2_score_completion_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_score_completion_v2_score_completion_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_ScoreCompletionResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/users_overview":{"get":{"summary":"Users Overview App","operationId":"users_overview_app_v2_users_overview_get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"user_ids","in":"query","required":false,"schema":{"anyOf":[{"type":"array","items":{"type":"string"}},{"type":"null"}],"default":[],"title":"User Ids"}},{"name":"offset","in":"query","required":false,"schema":{"type":"integer","minimum":0,"default":0,"title":"Offset"}},{"name":"limit","in":"query","required":false,"schema":{"type":"integer","maximum":1000,"minimum":1,"default":100,"title":"Limit"}}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_List_UserOverviewResponse__"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/delete":{"delete":{"summary":"Delete App","operationId":"delete_app_v2_delete_delete","security":[{"HTTPBearer":[]}],"parameters":[{"name":"filters","in":"query","required":true,"schema":{"type":"string","description":"JSON-encoded filters","title":"Filters"},"description":"JSON-encoded filters"}],"responses":{"204":{"description":"Successful Response"},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/download_file/{document_id}":{"get":{"summary":"Download File App","description":"Download a file by its document ID as a stream.","operationId":"download_file_app_v2_download_file__document_id__get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"document_id","in":"path","required":true,"schema":{"type":"string","description":"Document ID","title":"Document Id"},"description":"Document ID"}],"responses":{"200":{"description":"Successful Response"},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/documents_overview":{"get":{"summary":"Documents Overview App","operationId":"documents_overview_app_v2_documents_overview_get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"document_ids","in":"query","required":false,"schema":{"type":"array","items":{"type":"string"},"default":[],"title":"Document Ids"}},{"name":"offset","in":"query","required":false,"schema":{"type":"integer","minimum":0,"default":0,"title":"Offset"}},{"name":"limit","in":"query","required":false,"schema":{"type":"integer","maximum":1000,"minimum":1,"default":100,"title":"Limit"}}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_List_DocumentOverviewResponse__"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/document_chunks/{document_id}":{"get":{"summary":"Document Chunks App","operationId":"document_chunks_app_v2_document_chunks__document_id__get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"document_id","in":"path","required":true,"schema":{"type":"string","title":"Document Id"}},{"name":"offset","in":"query","required":false,"schema":{"anyOf":[{"type":"integer","minimum":0},{"type":"null"}],"default":0,"title":"Offset"}},{"name":"limit","in":"query","required":false,"schema":{"anyOf":[{"type":"integer","minimum":0},{"type":"null"}],"default":100,"title":"Limit"}}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_List_DocumentChunkResponse__"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/inspect_knowledge_graph":{"get":{"summary":"Inspect Knowledge Graph","operationId":"inspect_knowledge_graph_v2_inspect_knowledge_graph_get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"offset","in":"query","required":false,"schema":{"type":"integer","default":0,"title":"Offset"}},{"name":"limit","in":"query","required":false,"schema":{"type":"integer","default":100,"title":"Limit"}},{"name":"print_descriptions","in":"query","required":false,"schema":{"type":"boolean","default":false,"title":"Print Descriptions"}}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_str_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/collections_overview":{"get":{"summary":"Collections Overview App","operationId":"collections_overview_app_v2_collections_overview_get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"collection_ids","in":"query","required":false,"schema":{"anyOf":[{"type":"array","items":{"type":"string"}},{"type":"null"}],"title":"Collection Ids"}},{"name":"offset","in":"query","required":false,"schema":{"anyOf":[{"type":"integer","minimum":0},{"type":"null"}],"default":0,"title":"Offset"}},{"name":"limit","in":"query","required":false,"schema":{"anyOf":[{"type":"integer","maximum":1000,"minimum":1},{"type":"null"}],"default":100,"title":"Limit"}}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_List_GroupOverviewResponse__"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/create_collection":{"post":{"summary":"Create Collection App","operationId":"create_collection_app_v2_create_collection_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_create_collection_app_v2_create_collection_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_GroupResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/get_collection/{collection_id}":{"get":{"summary":"Get Collection App","operationId":"get_collection_app_v2_get_collection__collection_id__get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"collection_id","in":"path","required":true,"schema":{"type":"string","description":"Collection ID","title":"Collection Id"},"description":"Collection ID"}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_GroupResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/update_collection":{"put":{"summary":"Update Collection App","operationId":"update_collection_app_v2_update_collection_put","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_update_collection_app_v2_update_collection_put"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_GroupResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/delete_collection/{collection_id}":{"delete":{"summary":"Delete Collection App","operationId":"delete_collection_app_v2_delete_collection__collection_id__delete","security":[{"HTTPBearer":[]}],"parameters":[{"name":"collection_id","in":"path","required":true,"schema":{"type":"string","description":"Collection ID","title":"Collection Id"},"description":"Collection ID"}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/list_collections":{"get":{"summary":"List Collections App","operationId":"list_collections_app_v2_list_collections_get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"offset","in":"query","required":false,"schema":{"type":"integer","minimum":0,"default":0,"title":"Offset"}},{"name":"limit","in":"query","required":false,"schema":{"type":"integer","maximum":1000,"minimum":1,"default":100,"title":"Limit"}}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_List_GroupResponse__"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/add_user_to_collection":{"post":{"summary":"Add User To Collection App","operationId":"add_user_to_collection_app_v2_add_user_to_collection_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_add_user_to_collection_app_v2_add_user_to_collection_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_AddUserResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/remove_user_from_collection":{"post":{"summary":"Remove User From Collection App","operationId":"remove_user_from_collection_app_v2_remove_user_from_collection_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_remove_user_from_collection_app_v2_remove_user_from_collection_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/get_users_in_collection/{collection_id}":{"get":{"summary":"Get Users In Collection App","operationId":"get_users_in_collection_app_v2_get_users_in_collection__collection_id__get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"collection_id","in":"path","required":true,"schema":{"type":"string","description":"Collection ID","title":"Collection Id"},"description":"Collection ID"},{"name":"offset","in":"query","required":false,"schema":{"type":"integer","minimum":0,"description":"Pagination offset","default":0,"title":"Offset"},"description":"Pagination offset"},{"name":"limit","in":"query","required":false,"schema":{"type":"integer","maximum":1000,"minimum":1,"description":"Pagination limit","default":100,"title":"Limit"},"description":"Pagination limit"}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/user_collections/{user_id}":{"get":{"summary":"Get Collections For User App","operationId":"get_collections_for_user_app_v2_user_collections__user_id__get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"user_id","in":"path","required":true,"schema":{"type":"string","description":"User ID","title":"User Id"},"description":"User ID"},{"name":"offset","in":"query","required":false,"schema":{"type":"integer","minimum":0,"description":"Pagination offset","default":0,"title":"Offset"},"description":"Pagination offset"},{"name":"limit","in":"query","required":false,"schema":{"type":"integer","maximum":1000,"minimum":1,"description":"Pagination limit","default":100,"title":"Limit"},"description":"Pagination limit"}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/assign_document_to_collection":{"post":{"summary":"Assign Document To Collection App","operationId":"assign_document_to_collection_app_v2_assign_document_to_collection_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_assign_document_to_collection_app_v2_assign_document_to_collection_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/remove_document_from_collection":{"post":{"summary":"Remove Document From Collection App","operationId":"remove_document_from_collection_app_v2_remove_document_from_collection_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_remove_document_from_collection_app_v2_remove_document_from_collection_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/document_collections/{document_id}":{"get":{"summary":"Document Collections App","operationId":"document_collections_app_v2_document_collections__document_id__get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"document_id","in":"path","required":true,"schema":{"type":"string","description":"Document ID","title":"Document Id"},"description":"Document ID"},{"name":"offset","in":"query","required":false,"schema":{"type":"integer","minimum":0,"default":0,"title":"Offset"}},{"name":"limit","in":"query","required":false,"schema":{"type":"integer","maximum":1000,"minimum":1,"default":100,"title":"Limit"}}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_List_GroupResponse__"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/collection/{collection_id}/documents":{"get":{"summary":"Documents In Collection App","operationId":"documents_in_collection_app_v2_collection__collection_id__documents_get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"collection_id","in":"path","required":true,"schema":{"type":"string","description":"Collection ID","title":"Collection Id"},"description":"Collection ID"},{"name":"offset","in":"query","required":false,"schema":{"type":"integer","minimum":0,"default":0,"title":"Offset"}},{"name":"limit","in":"query","required":false,"schema":{"type":"integer","maximum":1000,"minimum":1,"default":100,"title":"Limit"}}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_List_DocumentOverviewResponse__"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/search":{"post":{"summary":"Search App","description":"Perform a search query on the vector database and knowledge graph.\n\nThis endpoint allows for complex filtering of search results using PostgreSQL-based queries.\nFilters can be applied to various fields such as document_id, and internal metadata values.\n\n\nAllowed operators include `eq`, `neq`, `gt`, `gte`, `lt`, `lte`, `like`, `ilike`, `in`, and `nin`.","operationId":"search_app_v2_search_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_search_app_v2_search_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_SearchResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}],"x-codeSamples":[{"lang":"Python","source":"from r2r import R2RClient\n\nclient = R2RClient(\"http://localhost:7272\")\n# when using auth, do client.login(...)\n\nresult = client.search(\n    query=\"Who is Aristotle?\",\n    vector_search_settings={\n        \"use_vector_search\": True,\n        \"filters\": {\"document_id\": {\"eq\": \"3e157b3a-8469-51db-90d9-52e7d896b49b\"}},\n        \"search_limit\": 20,\n        \"use_hybrid_search\": True\n    },\n    kg_search_settings={\n        \"use_kg_search\": True, # graph needs to be constructed first\n        \"kg_search_type\": \"local\",\n        \"kg_search_level\": \"0\",\n        \"kg_search_generation_config\": {\n            \"model\": \"gpt-4o-mini\",\n            \"temperature\": 0.7,\n        },\n        \"local_search_limits\": {\n            \"__Entity__\": 20,\n            \"__Relationship__\": 20,\n            \"__Community__\": 20,\n        },\n        \"max_community_description_length\": 65536,\n        \"max_llm_queries_for_global_search\": 250\n    }\n)\n"},{"lang":"Shell","source":"curl -X POST \"https://api.example.com/search\" \\\n  -H \"Content-Type: application/json\" \\\n  -H \"Authorization: Bearer YOUR_API_KEY\" \\\n  -d '{\n    \"query\": \"Who is Aristotle?\",\n    \"vector_search_settings\": {\n      \"use_vector_search\": true,\n      \"filters\": {\"document_id\": {\"eq\": \"3e157b3a-8469-51db-90d9-52e7d896b49b\"}},\n      \"search_limit\": 20,\n      \"use_hybrid_search\": true\n    },\n    \"kg_search_settings\": {\n      \"use_kg_search\": true, # graph needs to be constructed first\n      \"kg_search_type\": \"local\",\n      \"kg_search_level\": \"0\",\n      \"kg_search_generation_config\": {\n          \"model\": \"gpt-4o-mini\",\n          \"temperature\": 0.7\n      },\n      \"local_search_limits\": {\n          \"__Entity__\": 20,\n          \"__Relationship__\": 20,\n          \"__Community__\": 20,\n      },\n      \"max_community_description_length\": 65536,\n      \"max_llm_queries_for_global_search\": 250\n    }\n  }'\n"}]}},"/v2/rag":{"post":{"summary":"Rag App","description":"Execute a RAG (Retrieval-Augmented Generation) query.\n\nThis endpoint combines search results with language model generation.\nIt supports the same filtering capabilities as the search endpoint,\nallowing for precise control over the retrieved context.\n\nThe generation process can be customized using the rag_generation_config parameter.","operationId":"rag_app_v2_rag_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_rag_app_v2_rag_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_RAGResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}],"x-codeSamples":[{"lang":"Python","source":"from r2r import R2RClient\n\nclient = R2RClient(\"http://localhost:7272\")\n# when using auth, do client.login(...)\n\nresult = client.rag(\n    query=\"Who is Aristotle?\",\n    vector_search_settings={\n        \"use_vector_search\": True,\n        \"filters\": {\"document_id\": {\"eq\": \"3e157b3a-8469-51db-90d9-52e7d896b49b\"}},\n        \"search_limit\": 20,\n        \"use_hybrid_search\": True\n    },\n    kg_search_settings={\n        \"use_kg_search\": True,\n        \"kg_search_type\": \"local\",\n        \"kg_search_level\": \"0\",\n        \"kg_search_generation_config\": {\n            \"model\": \"gpt-4o-mini\",\n            \"temperature\": 0.7,\n        },\n        \"local_search_limits\": {\n            \"__Entity__\": 20,\n            \"__Relationship__\": 20,\n            \"__Community__\": 20,\n        },\n        \"max_community_description_length\": 65536,\n        \"max_llm_queries_for_global_search\": 250\n    },\n    rag_generation_config={\n        \"stream\": False,\n        \"temperature\": 0.7,\n        \"max_tokens\": 150\n    }\n)\n"},{"lang":"Shell","source":"curl -X POST \"https://api.example.com/rag\" \\\n  -H \"Content-Type: application/json\" \\\n  -H \"Authorization: Bearer YOUR_API_KEY\" \\\n  -d '{\n    \"query\": \"Who is Aristotle?\",\n    \"vector_search_settings\": {\n      \"use_vector_search\": true,\n      \"filters\": {\"document_id\": {\"eq\": \"3e157b3a-8469-51db-90d9-52e7d896b49b\"}},\n      \"search_limit\": 20,\n      \"use_hybrid_search\": True\n    },\n    \"kg_search_settings\": {\n      \"use_kg_search\": true, # graph needs to be constructed first\n      \"kg_search_type\": \"local\",\n      \"kg_search_level\": \"0\",\n      \"kg_search_generation_config\": {\n          \"model\": \"gpt-4o-mini\",\n          \"temperature\": 0.7\n      },\n      \"local_search_limits\": {\n          \"__Entity__\": 20,\n          \"__Relationship__\": 20,\n          \"__Community__\": 20,\n      },\n      \"max_community_description_length\": 65536,\n      \"max_llm_queries_for_global_search\": 250\n    },\n    \"rag_generation_config\": {\n      \"stream\": false,\n      \"temperature\": 0.7,\n      \"max_tokens\": 150\n    }\n  }'\n"}]}},"/v2/agent":{"post":{"summary":"Agent App","description":"Implement an agent-based interaction for complex query processing.\n\nThis endpoint supports multi-turn conversations and can handle complex queries\nby breaking them down into sub-tasks. It uses the same filtering capabilities\nas the search and RAG endpoints for retrieving relevant information.\n\nThe agent's behavior can be customized using the rag_generation_config and\ntask_prompt_override parameters.","operationId":"agent_app_v2_agent_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_agent_app_v2_agent_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_RAGAgentResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}],"x-codeSamples":[{"lang":"Python","source":"from r2r import R2RClient\n\nclient = R2RClient(\"http://localhost:7272\")\n# when using auth, do client.login(...)\n\nresult = client.agent(\n    messages=[\n        {\"role\": \"user\", \"content\": \"Who is the greatest philospher of all time?\"},\n        {\"role\": \"assistant\", \"content\": \"Aristotle is widely considered the greatest philospher of all time.\"},\n        {\"role\": \"user\", \"content\": \"Can you tell me more about him?\"}\n    ],\n    vector_search_settings={\n        \"use_vector_search\": True,\n        \"filters\": {\"document_id\": {\"eq\": \"5e157b3a-8469-51db-90d9-52e7d896b49b\"}},\n        \"search_limit\": 20,\n        \"use_hybrid_search\": True\n    },\n    rag_generation_config={\n        \"stream\": False,\n        \"temperature\": 0.7,\n        \"max_tokens\": 200\n    },\n    include_title_if_available=True\n)\n"},{"lang":"Shell","source":"curl -X POST \"https://api.example.com/agent\" \\\n  -H \"Content-Type: application/json\" \\\n  -H \"Authorization: Bearer YOUR_API_KEY\" \\\n  -d '{\n    \"messages\": [\n      {\"role\": \"user\", \"content\": \"Who is the greatest philospher of all time?\"},\n      {\"role\": \"assistant\", \"content\": \"Aristotle is widely considered the greatest philospher of all time.\"},\n      {\"role\": \"user\", \"content\": \"Can you tell me more about him?\"}\n    ],\n    \"vector_search_settings\": {\n      \"use_vector_search\": true,\n      \"filters\": {\"document_id\": {\"eq\": \"5e157b3a-8469-51db-90d9-52e7d896b49b\"}},\n      \"search_limit\": 20,\n      \"use_hybrid_search\": true\n    },\n    \"kg_search_settings\": {\n      \"use_kg_search\": false # to enable this, please read the graphrag cookbook\n    },\n    \"rag_generation_config\": {\n      \"stream\": false,\n      \"temperature\": 0.7,\n      \"max_tokens\": 200\n    },\n    \"include_title_if_available\": true\n  }'\n"}]}},"/v2/register":{"post":{"summary":"Register App","description":"Register a new user with the given email and password.","operationId":"register_app_v2_register_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_register_app_v2_register_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_UserResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/verify_email":{"post":{"summary":"Verify Email App","description":"Verify a user's email address.\n\nThis endpoint is used to confirm a user's email address using the verification code\nsent to their email after registration.","operationId":"verify_email_app_v2_verify_email_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_verify_email_app_v2_verify_email_post"}}},"required":true},"responses":{"200":{"description":"Successful 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access token using their refresh token.","operationId":"refresh_access_token_app_v2_refresh_access_token_post","requestBody":{"content":{"application/json":{"schema":{"type":"string","title":"Refresh Token","description":"Refresh token"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_TokenResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/change_password":{"post":{"summary":"Change Password App","description":"Change the authenticated user's password.\n\nThis endpoint allows users to change their password by providing their current password\nand a new password.","operationId":"change_password_app_v2_change_password_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_change_password_app_v2_change_password_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_GenericMessageResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/request_password_reset":{"post":{"summary":"Request Password Reset App","description":"Request a password reset for a user.\n\nThis endpoint initiates the password reset process by sending a reset link\nto the specified email 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This endpoint takes input a list of document ids and KGCreationSettings. If document IDs are not provided, the graph will be created on all documents in the system.\n\nThis step extracts the relevant entities and relationships from the documents and creates a graph based on the extracted information. You can view the graph through the neo4j browser.\n\nIn order to do GraphRAG, you will need to run the enrich_graph endpoint.","operationId":"create_graph_v2_create_graph_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_create_graph_v2_create_graph_post"}}}},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_KGCreationResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/enrich_graph":{"post":{"summary":"Enrich Graph","description":"This endpoint enriches the graph with additional information. It creates communities of nodes based on their similarity and adds embeddings to the graph. This step is necessary for GraphRAG to work.","operationId":"enrich_graph_v2_enrich_graph_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_enrich_graph_v2_enrich_graph_post"}}}},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_KGEnrichmentResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/openapi_spec":{"get":{"summary":"Openapi Spec","operationId":"openapi_spec_v2_openapi_spec_get","responses":{"200":{"description":"Successful 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If not provided, the system will generate a unique document id via the `generate_user_document_id` method."},"metadatas":{"anyOf":[{"type":"string","contentMediaType":"application/json","contentSchema":{"items":{"type":"object"},"type":"array"}},{"type":"null"}],"title":"Metadatas","description":"An optional list of JSON metadata to affix to each file"},"chunking_config":{"anyOf":[{"type":"string","contentMediaType":"application/json","contentSchema":{"$ref":"#/components/schemas/ChunkingConfig"}},{"type":"null"}],"title":"Chunking Config","description":"An optional dictionary to override the default chunking configuration for the ingestion process. 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His systematic approach to data collection and analysis has had a lasting impact on modern scientific methods. Below, we explore some of his most influential contributions.\n\n#### Foundational Works and Systematic Approach\n\nAristotle's writings cover a broad spectrum of topics, including logic, biology, ethics, and political science. His key works such as 'Physics,' 'On the Soul,' and 'Nicomachean Ethics' delve into fundamental concepts like substance, memory, and the nature of the city [Data: Reports (1, 2, 3, 4, 5, +more)]. These texts not only provided a comprehensive framework for understanding various aspects of the natural and human world but also established methodologies that continue to influence contemporary scientific inquiry.\n\n#### Ethical and Political Philosophy\n\nIn 'Nicomachean Ethics,' Aristotle explores the concept of a virtuous character, emphasizing the importance of moral virtues and the development of good habits. 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These theories have significantly influenced subsequent philosophical and psychological studies on cognition and perception [Data: Reports (13, 14); Triples (26, 27, 28, 29, 30)].\n\n#### Epistemology and Scientific Method\n\nAristotle's epistemology, known as immanent realism, is based on the study of things that exist or happen in the world. This approach emphasizes empirical observation and has been instrumental in shaping the development of scientific methods. His insistence on grounding knowledge in observable phenomena laid the groundwork for future empirical research [Data: Reports (3)].\n\n#### Engagement with Predecessors and Contemporaries\n\nAristotle was also known for his critical engagement with the ideas of his predecessors and contemporaries. For instance, he refuted Democritus's claim about the Milky Way and criticized Empedocles's materialist theory of 'survival of the fittest.' These critiques highlight Aristotle's active participation in the broader philosophical discourse of his time and his contributions to refining and advancing philosophical thought [Data: Reports (15, 16); Triples (31, 32, 33, 34, 35)].\n\n### Conclusion\n\nAristotle's contributions to philosophy are vast and multifaceted, encompassing ethics, politics, epistemology, and more. His works continue to be studied and revered for their depth, rigor, and enduring relevance. Through his systematic approach and critical engagement with existing ideas, Aristotle has left an indelible mark on the landscape of Western philosophy."]},"KGLocalSearchResult":{"properties":{"query":{"type":"string","title":"Query"},"entities":{"type":"object","title":"Entities"},"relationships":{"type":"object","title":"Relationships"},"communities":{"type":"object","title":"Communities"}},"type":"object","required":["query","entities","relationships","communities"],"title":"KGLocalSearchResult","description":"Result of a local knowledge graph search operation.","communities":{"0":{"summary":{"findings":[{"explanation":"Aristotle is credited with the earliest study of formal logic, and his conception of it was the dominant form of Western logic until the 19th-century advances in mathematical logic. 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Aristotle[A] (Greek: Ἀριστοτέλης Aristotélēs, pronounced [aristotélɛːs]; 384–322 BC) was an Ancient Greek philosopher and polymath. His writings cover a broad range of subjects spanning the natural sciences, philosophy, linguistics, economics, politics, psychology, and the arts. As the founder of the Peripatetic school of philosophy in the Lyceum in Athens, he began the wider Aristotelian tradition that followed, which set the groundwork for the development of modern science.\n2. Aristotle[A] (Greek: Ἀριστοτέλης Aristotélēs, pronounced [aristotélɛːs]; 384–322 BC) was an Ancient Greek philosopher and polymath. His writings cover a broad range of subjects spanning the natural sciences, philosophy, linguistics, economics, politics, psychology, and the arts. As the founder of the Peripatetic school of philosophy in the Lyceum in Athens, he began the wider Aristotelian tradition that followed, which set the groundwork for the development of modern science.\n3. Aristotle was born in 384 BC[C] in Stagira, Chalcidice,[2] about 55 km (34 miles) east of modern-day Thessaloniki.[3][4] His father, Nicomachus, was the personal physician to King Amyntas of Macedon. While he was young, Aristotle learned about biology and medical information, which was taught by his father.[5] Both of Aristotle's parents died when he was about thirteen, and Proxenus of Atarneus became his guardian.[6] Although little information about Aristotle's childhood has survived, he probably spent\n4. Aristotle was born in 384 BC[C] in Stagira, Chalcidice,[2] about 55 km (34 miles) east of modern-day Thessaloniki.[3][4] His father, Nicomachus, was the personal physician to King Amyntas of Macedon. While he was young, Aristotle learned about biology and medical information, which was taught by his father.[5] Both of Aristotle's parents died when he was about thirteen, and Proxenus of Atarneus became his guardian.[6] Although little information about Aristotle's childhood has survived, he probably spent\n5. Life\nIn general, the details of Aristotle's life are not well-established. The biographies written in ancient times are often speculative and historians only agree on a few salient points.[B]\n","name":"search","role":"function"},{"content":"Aristotle (384–322 BC) was an Ancient Greek philosopher and polymath whose contributions have had a profound impact on various fields of knowledge. Here are some key points about his life and work:\n\n1. **Early Life**: Aristotle was born in 384 BC in Stagira, Chalcidice, which is near modern-day Thessaloniki, Greece. His father, Nicomachus, was the personal physician to King Amyntas of Macedon, which exposed Aristotle to medical and biological knowledge from a young age [C].\n\n2. **Education and Career**: After the death of his parents, Aristotle was sent to Athens to study at Plato's Academy, where he remained for about 20 years. After Plato's death, Aristotle left Athens and eventually became the tutor of Alexander the Great [C].\n\n3. **Philosophical Contributions**: Aristotle founded the Lyceum in Athens, where he established the Peripatetic school of philosophy. His works cover a wide range of subjects, including metaphysics, ethics, politics, logic, biology, and aesthetics. His writings laid the groundwork for many modern scientific and philosophical inquiries [A].\n\n4. **Legacy**: Aristotle's influence extends beyond philosophy to the natural sciences, linguistics, economics, and psychology. His method of systematic observation and analysis has been foundational to the development of modern science [A].\n\nAristotle's comprehensive approach to knowledge and his systematic methodology have earned him a lasting legacy as one of the greatest philosophers of all time.\n\nSources:\n- [A] Aristotle's broad range of writings and influence on modern science.\n- [C] Details about Aristotle's early life and education.","role":"assistant"}]},"RAGResponse":{"properties":{"completion":{"title":"Completion","description":"The generated completion from the RAG process"},"search_results":{"$ref":"#/components/schemas/SearchResponse","description":"The search results used for the RAG process"}},"type":"object","required":["completion","search_results"],"title":"RAGResponse","example":{"completion":{"choices":[{"finish_reason":"stop","index":0,"message":{"content":"Paris is the capital of France.","role":"assistant"}}],"id":"chatcmpl-example123"},"search_results":{"kg_search_results":[{"global_result":{"query":"What were Aristotles key contributions to philosophy?","search_result":["### Aristotle's Key Contributions to Philosophy\n\nAristotle's extensive body of work laid the foundation for numerous fields within philosophy and beyond, significantly shaping the trajectory of Western thought. His systematic approach to data collection and analysis has had a lasting impact on modern scientific methods. Below, we explore some of his most influential contributions.\n\n#### Foundational Works and Systematic Approach\n\nAristotle's writings cover a broad spectrum of topics, including logic, biology, ethics, and political science. His key works such as 'Physics,' 'On the Soul,' and 'Nicomachean Ethics' delve into fundamental concepts like substance, memory, and the nature of the city [Data: Reports (1, 2, 3, 4, 5, +more)]. These texts not only provided a comprehensive framework for understanding various aspects of the natural and human world but also established methodologies that continue to influence contemporary scientific inquiry.\n\n#### Ethical and Political Philosophy\n\nIn 'Nicomachean Ethics,' Aristotle explores the concept of a virtuous character, emphasizing the importance of moral virtues and the development of good habits. 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These theories have significantly influenced subsequent philosophical and psychological studies on cognition and perception [Data: Reports (13, 14); Triples (26, 27, 28, 29, 30)].\n\n#### Epistemology and Scientific Method\n\nAristotle's epistemology, known as immanent realism, is based on the study of things that exist or happen in the world. This approach emphasizes empirical observation and has been instrumental in shaping the development of scientific methods. His insistence on grounding knowledge in observable phenomena laid the groundwork for future empirical research [Data: Reports (3)].\n\n#### Engagement with Predecessors and Contemporaries\n\nAristotle was also known for his critical engagement with the ideas of his predecessors and contemporaries. For instance, he refuted Democritus's claim about the Milky Way and criticized Empedocles's materialist theory of 'survival of the fittest.' 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App","operationId":"collections_overview_app_v2_collections_overview_get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"collection_ids","in":"query","required":false,"schema":{"anyOf":[{"type":"array","items":{"type":"string"}},{"type":"null"}],"title":"Collection Ids"}},{"name":"offset","in":"query","required":false,"schema":{"anyOf":[{"type":"integer","minimum":0},{"type":"null"}],"default":0,"title":"Offset"}},{"name":"limit","in":"query","required":false,"schema":{"anyOf":[{"type":"integer","maximum":1000,"minimum":1},{"type":"null"}],"default":100,"title":"Limit"}}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_List_GroupOverviewResponse__"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/create_collection":{"post":{"summary":"Create Collection App","operationId":"create_collection_app_v2_create_collection_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_create_collection_app_v2_create_collection_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_GroupResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/get_collection/{collection_id}":{"get":{"summary":"Get Collection App","operationId":"get_collection_app_v2_get_collection__collection_id__get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"collection_id","in":"path","required":true,"schema":{"type":"string","description":"Collection ID","title":"Collection Id"},"description":"Collection ID"}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_GroupResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/update_collection":{"put":{"summary":"Update Collection App","operationId":"update_collection_app_v2_update_collection_put","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_update_collection_app_v2_update_collection_put"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_GroupResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/delete_collection/{collection_id}":{"delete":{"summary":"Delete Collection App","operationId":"delete_collection_app_v2_delete_collection__collection_id__delete","security":[{"HTTPBearer":[]}],"parameters":[{"name":"collection_id","in":"path","required":true,"schema":{"type":"string","description":"Collection ID","title":"Collection Id"},"description":"Collection ID"}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/list_collections":{"get":{"summary":"List Collections App","operationId":"list_collections_app_v2_list_collections_get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"offset","in":"query","required":false,"schema":{"type":"integer","minimum":0,"default":0,"title":"Offset"}},{"name":"limit","in":"query","required":false,"schema":{"type":"integer","maximum":1000,"minimum":1,"default":100,"title":"Limit"}}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_List_GroupResponse__"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/add_user_to_collection":{"post":{"summary":"Add User To Collection App","operationId":"add_user_to_collection_app_v2_add_user_to_collection_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_add_user_to_collection_app_v2_add_user_to_collection_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_AddUserResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/remove_user_from_collection":{"post":{"summary":"Remove User From Collection App","operationId":"remove_user_from_collection_app_v2_remove_user_from_collection_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_remove_user_from_collection_app_v2_remove_user_from_collection_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/get_users_in_collection/{collection_id}":{"get":{"summary":"Get Users In Collection App","operationId":"get_users_in_collection_app_v2_get_users_in_collection__collection_id__get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"collection_id","in":"path","required":true,"schema":{"type":"string","description":"Collection ID","title":"Collection Id"},"description":"Collection ID"},{"name":"offset","in":"query","required":false,"schema":{"type":"integer","minimum":0,"description":"Pagination offset","default":0,"title":"Offset"},"description":"Pagination offset"},{"name":"limit","in":"query","required":false,"schema":{"type":"integer","maximum":1000,"minimum":1,"description":"Pagination limit","default":100,"title":"Limit"},"description":"Pagination limit"}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/user_collections/{user_id}":{"get":{"summary":"Get Collections For User App","operationId":"get_collections_for_user_app_v2_user_collections__user_id__get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"user_id","in":"path","required":true,"schema":{"type":"string","description":"User ID","title":"User Id"},"description":"User ID"},{"name":"offset","in":"query","required":false,"schema":{"type":"integer","minimum":0,"description":"Pagination offset","default":0,"title":"Offset"},"description":"Pagination offset"},{"name":"limit","in":"query","required":false,"schema":{"type":"integer","maximum":1000,"minimum":1,"description":"Pagination limit","default":100,"title":"Limit"},"description":"Pagination limit"}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/assign_document_to_collection":{"post":{"summary":"Assign Document To Collection App","operationId":"assign_document_to_collection_app_v2_assign_document_to_collection_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_assign_document_to_collection_app_v2_assign_document_to_collection_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/remove_document_from_collection":{"post":{"summary":"Remove Document From Collection App","operationId":"remove_document_from_collection_app_v2_remove_document_from_collection_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_remove_document_from_collection_app_v2_remove_document_from_collection_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/document_collections/{document_id}":{"get":{"summary":"Document Collections App","operationId":"document_collections_app_v2_document_collections__document_id__get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"document_id","in":"path","required":true,"schema":{"type":"string","description":"Document ID","title":"Document Id"},"description":"Document ID"},{"name":"offset","in":"query","required":false,"schema":{"type":"integer","minimum":0,"default":0,"title":"Offset"}},{"name":"limit","in":"query","required":false,"schema":{"type":"integer","maximum":1000,"minimum":1,"default":100,"title":"Limit"}}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_List_GroupResponse__"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/collection/{collection_id}/documents":{"get":{"summary":"Documents In Collection App","operationId":"documents_in_collection_app_v2_collection__collection_id__documents_get","security":[{"HTTPBearer":[]}],"parameters":[{"name":"collection_id","in":"path","required":true,"schema":{"type":"string","description":"Collection ID","title":"Collection Id"},"description":"Collection ID"},{"name":"offset","in":"query","required":false,"schema":{"type":"integer","minimum":0,"default":0,"title":"Offset"}},{"name":"limit","in":"query","required":false,"schema":{"type":"integer","maximum":1000,"minimum":1,"default":100,"title":"Limit"}}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_List_DocumentOverviewResponse__"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/search":{"post":{"summary":"Search App","description":"Perform a search query on the vector database and knowledge graph.\n\nThis endpoint allows for complex filtering of search results using PostgreSQL-based queries.\nFilters can be applied to various fields such as document_id, and internal metadata values.\n\n\nAllowed operators include `eq`, `neq`, `gt`, `gte`, `lt`, `lte`, `like`, `ilike`, `in`, and `nin`.","operationId":"search_app_v2_search_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_search_app_v2_search_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_SearchResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}],"x-codeSamples":[{"lang":"Python","source":"from r2r import R2RClient\n\nclient = R2RClient(\"http://localhost:7272\")\n# when using auth, do client.login(...)\n\nresult = client.search(\n    query=\"Who is Aristotle?\",\n    vector_search_settings={\n        \"use_vector_search\": True,\n        \"filters\": {\"document_id\": {\"eq\": \"3e157b3a-8469-51db-90d9-52e7d896b49b\"}},\n        \"search_limit\": 20,\n        \"use_hybrid_search\": True\n    },\n    kg_search_settings={\n        \"use_kg_search\": True, # graph needs to be constructed first\n        \"kg_search_type\": \"local\",\n        \"kg_search_level\": \"0\",\n        \"generation_config\": {\n            \"model\": \"gpt-4o-mini\",\n            \"temperature\": 0.7,\n        },\n        \"local_search_limits\": {\n            \"__Entity__\": 20,\n            \"__Relationship__\": 20,\n            \"__Community__\": 20,\n        },\n        \"max_community_description_length\": 65536,\n        \"max_llm_queries_for_global_search\": 250\n    }\n)\n"},{"lang":"Shell","source":"curl -X POST \"https://api.example.com/search\" \\\n  -H \"Content-Type: application/json\" \\\n  -H \"Authorization: Bearer YOUR_API_KEY\" \\\n  -d '{\n    \"query\": \"Who is Aristotle?\",\n    \"vector_search_settings\": {\n      \"use_vector_search\": true,\n      \"filters\": {\"document_id\": {\"eq\": \"3e157b3a-8469-51db-90d9-52e7d896b49b\"}},\n      \"search_limit\": 20,\n      \"use_hybrid_search\": true\n    },\n    \"kg_search_settings\": {\n      \"use_kg_search\": true, # graph needs to be constructed first\n      \"kg_search_type\": \"local\",\n      \"kg_search_level\": \"0\",\n      \"generation_config\": {\n          \"model\": \"gpt-4o-mini\",\n          \"temperature\": 0.7\n      },\n      \"local_search_limits\": {\n          \"__Entity__\": 20,\n          \"__Relationship__\": 20,\n          \"__Community__\": 20,\n      },\n      \"max_community_description_length\": 65536,\n      \"max_llm_queries_for_global_search\": 250\n    }\n  }'\n"}]}},"/v2/rag":{"post":{"summary":"Rag App","description":"Execute a RAG (Retrieval-Augmented Generation) query.\n\nThis endpoint combines search results with language model generation.\nIt supports the same filtering capabilities as the search endpoint,\nallowing for precise control over the retrieved context.\n\nThe generation process can be customized using the rag_generation_config parameter.","operationId":"rag_app_v2_rag_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_rag_app_v2_rag_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_RAGResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}],"x-codeSamples":[{"lang":"Python","source":"from r2r import R2RClient\n\nclient = R2RClient(\"http://localhost:7272\")\n# when using auth, do client.login(...)\n\nresult = client.rag(\n    query=\"Who is Aristotle?\",\n    vector_search_settings={\n        \"use_vector_search\": True,\n        \"filters\": {\"document_id\": {\"eq\": \"3e157b3a-8469-51db-90d9-52e7d896b49b\"}},\n        \"search_limit\": 20,\n        \"use_hybrid_search\": True\n    },\n    kg_search_settings={\n        \"use_kg_search\": True,\n        \"kg_search_type\": \"local\",\n        \"kg_search_level\": \"0\",\n        \"generation_config\": {\n            \"model\": \"gpt-4o-mini\",\n            \"temperature\": 0.7,\n        },\n        \"local_search_limits\": {\n            \"__Entity__\": 20,\n            \"__Relationship__\": 20,\n            \"__Community__\": 20,\n        },\n        \"max_community_description_length\": 65536,\n        \"max_llm_queries_for_global_search\": 250\n    },\n    rag_generation_config={\n        \"stream\": False,\n        \"temperature\": 0.7,\n        \"max_tokens\": 150\n    }\n)\n"},{"lang":"Shell","source":"curl -X POST \"https://api.example.com/rag\" \\\n  -H \"Content-Type: application/json\" \\\n  -H \"Authorization: Bearer YOUR_API_KEY\" \\\n  -d '{\n    \"query\": \"Who is Aristotle?\",\n    \"vector_search_settings\": {\n      \"use_vector_search\": true,\n      \"filters\": {\"document_id\": {\"eq\": \"3e157b3a-8469-51db-90d9-52e7d896b49b\"}},\n      \"search_limit\": 20,\n      \"use_hybrid_search\": True\n    },\n    \"kg_search_settings\": {\n      \"use_kg_search\": true, # graph needs to be constructed first\n      \"kg_search_type\": \"local\",\n      \"kg_search_level\": \"0\",\n      \"generation_config\": {\n          \"model\": \"gpt-4o-mini\",\n          \"temperature\": 0.7\n      },\n      \"local_search_limits\": {\n          \"__Entity__\": 20,\n          \"__Relationship__\": 20,\n          \"__Community__\": 20,\n      },\n      \"max_community_description_length\": 65536,\n      \"max_llm_queries_for_global_search\": 250\n    },\n    \"rag_generation_config\": {\n      \"stream\": false,\n      \"temperature\": 0.7,\n      \"max_tokens\": 150\n    }\n  }'\n"}]}},"/v2/agent":{"post":{"summary":"Agent App","description":"Implement an agent-based interaction for complex query processing.\n\nThis endpoint supports multi-turn conversations and can handle complex queries\nby breaking them down into sub-tasks. It uses the same filtering capabilities\nas the search and RAG endpoints for retrieving relevant information.\n\nThe agent's behavior can be customized using the rag_generation_config and\ntask_prompt_override parameters.","operationId":"agent_app_v2_agent_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_agent_app_v2_agent_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_RAGAgentResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}],"x-codeSamples":[{"lang":"Python","source":"from r2r import R2RClient\n\nclient = R2RClient(\"http://localhost:7272\")\n# when using auth, do client.login(...)\n\nresult = client.agent(\n    messages=[\n        {\"role\": \"user\", \"content\": \"Who is the greatest philospher of all time?\"},\n        {\"role\": \"assistant\", \"content\": \"Aristotle is widely considered the greatest philospher of all time.\"},\n        {\"role\": \"user\", \"content\": \"Can you tell me more about him?\"}\n    ],\n    vector_search_settings={\n        \"use_vector_search\": True,\n        \"filters\": {\"document_id\": {\"eq\": \"5e157b3a-8469-51db-90d9-52e7d896b49b\"}},\n        \"search_limit\": 20,\n        \"use_hybrid_search\": True\n    },\n    rag_generation_config={\n        \"stream\": False,\n        \"temperature\": 0.7,\n        \"max_tokens\": 200\n    },\n    include_title_if_available=True\n)\n"},{"lang":"Shell","source":"curl -X POST \"https://api.example.com/agent\" \\\n  -H \"Content-Type: application/json\" \\\n  -H \"Authorization: Bearer YOUR_API_KEY\" \\\n  -d '{\n    \"messages\": [\n      {\"role\": \"user\", \"content\": \"Who is the greatest philospher of all time?\"},\n      {\"role\": \"assistant\", \"content\": \"Aristotle is widely considered the greatest philospher of all time.\"},\n      {\"role\": \"user\", \"content\": \"Can you tell me more about him?\"}\n    ],\n    \"vector_search_settings\": {\n      \"use_vector_search\": true,\n      \"filters\": {\"document_id\": {\"eq\": \"5e157b3a-8469-51db-90d9-52e7d896b49b\"}},\n      \"search_limit\": 20,\n      \"use_hybrid_search\": true\n    },\n    \"kg_search_settings\": {\n      \"use_kg_search\": false # to enable this, please read the graphrag cookbook\n    },\n    \"rag_generation_config\": {\n      \"stream\": false,\n      \"temperature\": 0.7,\n      \"max_tokens\": 200\n    },\n    \"include_title_if_available\": true\n  }'\n"}]}},"/v2/register":{"post":{"summary":"Register App","description":"Register a new user with the given email and password.","operationId":"register_app_v2_register_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_register_app_v2_register_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_UserResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/verify_email":{"post":{"summary":"Verify Email App","description":"Verify a user's email address.\n\nThis endpoint is used to confirm a user's email address using the verification code\nsent to their email after registration.","operationId":"verify_email_app_v2_verify_email_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_verify_email_app_v2_verify_email_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_GenericMessageResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/login":{"post":{"summary":"Login App","description":"Authenticate a user and provide access tokens.\n\nThis endpoint authenticates a user using their email (username) and password,\nand returns access and refresh tokens upon successful authentication.","operationId":"login_app_v2_login_post","requestBody":{"content":{"application/x-www-form-urlencoded":{"schema":{"$ref":"#/components/schemas/Body_login_app_v2_login_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_TokenResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/logout":{"post":{"summary":"Logout App","description":"Log out the current user.\n\nThis endpoint invalidates the user's current access token, effectively logging them out.","operationId":"logout_app_v2_logout_post","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_GenericMessageResponse_"}}}}},"security":[{"OAuth2PasswordBearer":[]},{"HTTPBearer":[]}]}},"/v2/user":{"get":{"summary":"Get User App","description":"Get the current user's profile information.\n\nThis endpoint returns the profile information of the currently authenticated user.","operationId":"get_user_app_v2_user_get","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_UserResponse_"}}}}},"security":[{"HTTPBearer":[]}]},"put":{"summary":"Put User App","description":"Update the current user's profile information.\n\nThis endpoint allows the authenticated user to update their profile information.","operationId":"put_user_app_v2_user_put","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_put_user_app_v2_user_put"}}}},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_UserResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/refresh_access_token":{"post":{"summary":"Refresh Access Token App","description":"Refresh the access token using a refresh token.\n\nThis endpoint allows users to obtain a new access token using their refresh token.","operationId":"refresh_access_token_app_v2_refresh_access_token_post","requestBody":{"content":{"application/json":{"schema":{"type":"string","title":"Refresh Token","description":"Refresh token"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_TokenResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/change_password":{"post":{"summary":"Change Password App","description":"Change the authenticated user's password.\n\nThis endpoint allows users to change their password by providing their current password\nand a new password.","operationId":"change_password_app_v2_change_password_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_change_password_app_v2_change_password_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_GenericMessageResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/request_password_reset":{"post":{"summary":"Request Password Reset App","description":"Request a password reset for a user.\n\nThis endpoint initiates the password reset process by sending a reset link\nto the specified email address.","operationId":"request_password_reset_app_v2_request_password_reset_post","requestBody":{"content":{"application/json":{"schema":{"type":"string","format":"email","title":"Email","description":"User's email address"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_GenericMessageResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/reset_password":{"post":{"summary":"Reset Password App","operationId":"reset_password_app_v2_reset_password_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_reset_password_app_v2_reset_password_post"}}},"required":true},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_GenericMessageResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/user/{user_id}":{"delete":{"summary":"Delete User App","description":"Delete a user account.\n\nThis endpoint allows users to delete their own account or, for superusers,\nto delete any user account.","operationId":"delete_user_app_v2_user__user_id__delete","security":[{"HTTPBearer":[]}],"parameters":[{"name":"user_id","in":"path","required":true,"schema":{"type":"string","description":"ID of the user to delete","title":"User Id"},"description":"ID of the user to delete"}],"requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_delete_user_app_v2_user__user_id__delete"}}}},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_GenericMessageResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/create_graph":{"post":{"summary":"Create Graph","description":"Creating a graph on your documents. This endpoint takes input a list of document ids and KGCreationSettings. If document IDs are not provided, the graph will be created on all documents in the system.\n\nThis step extracts the relevant entities and relationships from the documents and creates a graph based on the extracted information. You can view the graph through the neo4j browser.\n\nIn order to do GraphRAG, you will need to run the enrich_graph endpoint.","operationId":"create_graph_v2_create_graph_post","requestBody":{"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Body_create_graph_v2_create_graph_post"}}}},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/ResultsWrapper_KGCreationResponse_"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}},"security":[{"HTTPBearer":[]}]}},"/v2/enrich_graph":{"post":{"summary":"Enrich Graph","description":"This endpoint enriches the graph with additional information. It creates communities of nodes based on their similarity and adds embeddings to the graph. 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thought. His systematic approach to data collection and analysis has had a lasting impact on modern scientific methods. Below, we explore some of his most influential contributions.\n\n#### Foundational Works and Systematic Approach\n\nAristotle's writings cover a broad spectrum of topics, including logic, biology, ethics, and political science. His key works such as 'Physics,' 'On the Soul,' and 'Nicomachean Ethics' delve into fundamental concepts like substance, memory, and the nature of the city [Data: Reports (1, 2, 3, 4, 5, +more)]. These texts not only provided a comprehensive framework for understanding various aspects of the natural and human world but also established methodologies that continue to influence contemporary scientific inquiry.\n\n#### Ethical and Political Philosophy\n\nIn 'Nicomachean Ethics,' Aristotle explores the concept of a virtuous character, emphasizing the importance of moral virtues and the development of good habits. His work 'Politics' further examines the structure and function of the city (polis), addressing issues related to property, trade, and governance. Aristotle's classification of political constitutions and his definition of the city as the natural political community have had a profound and enduring impact on political thought [Data: Reports (11, 12); Triples (21, 22, 23, 24, 25)].\n\n#### Theories on Memory and Perception\n\nAristotle's theories on memory and perception are articulated in his works 'On the Soul' and 'De Anima iii 3.' He defines memory as the retention of experiences shaped by sensation and discusses the faculty of imagination (phantasia). These theories have significantly influenced subsequent philosophical and psychological studies on cognition and perception [Data: Reports (13, 14); Triples (26, 27, 28, 29, 30)].\n\n#### Epistemology and Scientific Method\n\nAristotle's epistemology, known as immanent realism, is based on the study of things that exist or happen in the world. This approach emphasizes empirical observation and has been instrumental in shaping the development of scientific methods. His insistence on grounding knowledge in observable phenomena laid the groundwork for future empirical research [Data: Reports (3)].\n\n#### Engagement with Predecessors and Contemporaries\n\nAristotle was also known for his critical engagement with the ideas of his predecessors and contemporaries. For instance, he refuted Democritus's claim about the Milky Way and criticized Empedocles's materialist theory of 'survival of the fittest.' These critiques highlight Aristotle's active participation in the broader philosophical discourse of his time and his contributions to refining and advancing philosophical thought [Data: Reports (15, 16); Triples (31, 32, 33, 34, 35)].\n\n### Conclusion\n\nAristotle's contributions to philosophy are vast and multifaceted, encompassing ethics, politics, epistemology, and more. His works continue to be studied and revered for their depth, rigor, and enduring relevance. Through his systematic approach and critical engagement with existing ideas, Aristotle has left an indelible mark on the landscape of Western philosophy."]},"KGLocalSearchResult":{"properties":{"query":{"type":"string","title":"Query"},"entities":{"type":"object","title":"Entities"},"relationships":{"type":"object","title":"Relationships"},"communities":{"type":"object","title":"Communities"}},"type":"object","required":["query","entities","relationships","communities"],"title":"KGLocalSearchResult","description":"Result of a local knowledge graph search operation.","communities":{"0":{"summary":{"findings":[{"explanation":"Aristotle is credited with the earliest study of formal logic, and his conception of it was the dominant form of Western logic until the 19th-century advances in mathematical logic. His works compiled into a set of six books ...","summary":"Aristotle's Foundational Role in Logic"}],"rating":9.5,"rating_explanation":"The impact severity rating is high due to Aristotle's foundational influence on multiple disciplines and his enduring legacy in Western philosophy and science.","summary":"The community revolves around Aristotle, an ancient Greek philosopher and polymath, who made significant contributions to various fields including logic, biology, political science, and economics. His works, such as 'Politics' and 'Nicomachean Ethics', have influenced numerous disciplines and thinkers from antiquity through the Middle Ages and beyond. The relationships between his various works and the fields he contributed to highlight his profound impact on Western thought.","title":"Aristotle and His Contributions"}}},"entities":{"0":{"description":"Aristotle was an ancient Greek philosopher and polymath, recognized as the father of various fields including logic, biology, and political science. He authored significant works such as the *Nicomachean Ethics* and *Politics*, where he explored concepts of virtue, governance, and the nature of reality, while also critiquing Platos ideas. 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His insistence on grounding knowledge in observable phenomena laid the groundwork for future empirical research [Data: Reports (3)].\n\n#### Engagement with Predecessors and Contemporaries\n\nAristotle was also known for his critical engagement with the ideas of his predecessors and contemporaries. For instance, he refuted Democritus's claim about the Milky Way and criticized Empedocles's materialist theory of 'survival of the fittest.' These critiques highlight Aristotle's active participation in the broader philosophical discourse of his time and his contributions to refining and advancing philosophical thought [Data: Reports (15, 16); Triples (31, 32, 33, 34, 35)].\n\n### Conclusion\n\nAristotle's contributions to philosophy are vast and multifaceted, encompassing ethics, politics, epistemology, and more. His works continue to be studied and revered for their depth, rigor, and enduring relevance. 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Aristotle[A] (Greek: Ἀριστοτέλης Aristotélēs, pronounced [aristotélɛːs]; 384–322 BC) was an Ancient Greek philosopher and polymath. His writings cover a broad range of subjects spanning the natural sciences, philosophy, linguistics, economics, politics, psychology, and the arts. As the founder of the Peripatetic school of philosophy in the Lyceum in Athens, he began the wider Aristotelian tradition that followed, which set the groundwork for the development of modern science.\n2. Aristotle[A] (Greek: Ἀριστοτέλης Aristotélēs, pronounced [aristotélɛːs]; 384–322 BC) was an Ancient Greek philosopher and polymath. His writings cover a broad range of subjects spanning the natural sciences, philosophy, linguistics, economics, politics, psychology, and the arts. As the founder of the Peripatetic school of philosophy in the Lyceum in Athens, he began the wider Aristotelian tradition that followed, which set the groundwork for the development of modern science.\n3. Aristotle was born in 384 BC[C] in Stagira, Chalcidice,[2] about 55 km (34 miles) east of modern-day Thessaloniki.[3][4] His father, Nicomachus, was the personal physician to King Amyntas of Macedon. While he was young, Aristotle learned about biology and medical information, which was taught by his father.[5] Both of Aristotle's parents died when he was about thirteen, and Proxenus of Atarneus became his guardian.[6] Although little information about Aristotle's childhood has survived, he probably spent\n4. Aristotle was born in 384 BC[C] in Stagira, Chalcidice,[2] about 55 km (34 miles) east of modern-day Thessaloniki.[3][4] His father, Nicomachus, was the personal physician to King Amyntas of Macedon. While he was young, Aristotle learned about biology and medical information, which was taught by his father.[5] Both of Aristotle's parents died when he was about thirteen, and Proxenus of Atarneus became his guardian.[6] Although little information about Aristotle's childhood has survived, he probably spent\n5. Life\nIn general, the details of Aristotle's life are not well-established. The biographies written in ancient times are often speculative and historians only agree on a few salient points.[B]\n","name":"search","role":"function"},{"content":"Aristotle (384–322 BC) was an Ancient Greek philosopher and polymath whose contributions have had a profound impact on various fields of knowledge. Here are some key points about his life and work:\n\n1. **Early Life**: Aristotle was born in 384 BC in Stagira, Chalcidice, which is near modern-day Thessaloniki, Greece. His father, Nicomachus, was the personal physician to King Amyntas of Macedon, which exposed Aristotle to medical and biological knowledge from a young age [C].\n\n2. **Education and Career**: After the death of his parents, Aristotle was sent to Athens to study at Plato's Academy, where he remained for about 20 years. After Plato's death, Aristotle left Athens and eventually became the tutor of Alexander the Great [C].\n\n3. **Philosophical Contributions**: Aristotle founded the Lyceum in Athens, where he established the Peripatetic school of philosophy. His works cover a wide range of subjects, including metaphysics, ethics, politics, logic, biology, and aesthetics. His writings laid the groundwork for many modern scientific and philosophical inquiries [A].\n\n4. **Legacy**: Aristotle's influence extends beyond philosophy to the natural sciences, linguistics, economics, and psychology. His method of systematic observation and analysis has been foundational to the development of modern science [A].\n\nAristotle's comprehensive approach to knowledge and his systematic methodology have earned him a lasting legacy as one of the greatest philosophers of all time.\n\nSources:\n- [A] Aristotle's broad range of writings and influence on modern science.\n- [C] Details about Aristotle's early life and education.","role":"assistant"}]},"RAGResponse":{"properties":{"completion":{"title":"Completion","description":"The generated completion from the RAG process"},"search_results":{"$ref":"#/components/schemas/SearchResponse","description":"The search results used for the RAG process"}},"type":"object","required":["completion","search_results"],"title":"RAGResponse","example":{"completion":{"choices":[{"finish_reason":"stop","index":0,"message":{"content":"Paris is the capital of France.","role":"assistant"}}],"id":"chatcmpl-example123"},"search_results":{"kg_search_results":[{"global_result":{"query":"What were Aristotles key contributions to philosophy?","search_result":["### Aristotle's Key Contributions to Philosophy\n\nAristotle's extensive body of work laid the foundation for numerous fields within philosophy and beyond, significantly shaping the trajectory of Western thought. His systematic approach to data collection and analysis has had a lasting impact on modern scientific methods. Below, we explore some of his most influential contributions.\n\n#### Foundational Works and Systematic Approach\n\nAristotle's writings cover a broad spectrum of topics, including logic, biology, ethics, and political science. His key works such as 'Physics,' 'On the Soul,' and 'Nicomachean Ethics' delve into fundamental concepts like substance, memory, and the nature of the city [Data: Reports (1, 2, 3, 4, 5, +more)]. These texts not only provided a comprehensive framework for understanding various aspects of the natural and human world but also established methodologies that continue to influence contemporary scientific inquiry.\n\n#### Ethical and Political Philosophy\n\nIn 'Nicomachean Ethics,' Aristotle explores the concept of a virtuous character, emphasizing the importance of moral virtues and the development of good habits. 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These theories have significantly influenced subsequent philosophical and psychological studies on cognition and perception [Data: Reports (13, 14); Triples (26, 27, 28, 29, 30)].\n\n#### Epistemology and Scientific Method\n\nAristotle's epistemology, known as immanent realism, is based on the study of things that exist or happen in the world. This approach emphasizes empirical observation and has been instrumental in shaping the development of scientific methods. His insistence on grounding knowledge in observable phenomena laid the groundwork for future empirical research [Data: Reports (3)].\n\n#### Engagement with Predecessors and Contemporaries\n\nAristotle was also known for his critical engagement with the ideas of his predecessors and contemporaries. For instance, he refuted Democritus's claim about the Milky Way and criticized Empedocles's materialist theory of 'survival of the fittest.' These critiques highlight Aristotle's active participation in the broader philosophical discourse of his time and his contributions to refining and advancing philosophical thought [Data: Reports (15, 16); Triples (31, 32, 33, 34, 35)].\n\n### Conclusion\n\nAristotle's contributions to philosophy are vast and multifaceted, encompassing ethics, politics, epistemology, and more. His works continue to be studied and revered for their depth, rigor, and enduring relevance. Through his systematic approach and critical engagement with existing ideas, Aristotle has left an indelible mark on the landscape of Western philosophy."]},"local_result":{"communities":{"0":{"summary":{"findings":[{"explanation":"Aristotle is credited with the earliest study of formal logic, and his conception of it was the dominant form of Western logic until the 19th-century advances in mathematical logic. 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His systematic approach to data collection and analysis has had a lasting impact on modern scientific methods. Below, we explore some of his most influential contributions.\n\n#### Foundational Works and Systematic Approach\n\nAristotle's writings cover a broad spectrum of topics, including logic, biology, ethics, and political science. His key works such as 'Physics,' 'On the Soul,' and 'Nicomachean Ethics' delve into fundamental concepts like substance, memory, and the nature of the city [Data: Reports (1, 2, 3, 4, 5, +more)]. These texts not only provided a comprehensive framework for understanding various aspects of the natural and human world but also established methodologies that continue to influence contemporary scientific inquiry.\n\n#### Ethical and Political Philosophy\n\nIn 'Nicomachean Ethics,' Aristotle explores the concept of a virtuous character, emphasizing the importance of moral virtues and the development of good habits. 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request."},"document_ids":{"items":{"type":"string","format":"uuid"},"type":"array","title":"Document Ids","description":"The ID of the document that was ingested."}},"type":"object","required":["message","task_id","document_ids"],"title":"UpdateResponse","example":{"document_ids":["9fbe403b-c11c-5aae-8ade-ef22980c3ad1"],"message":"Update task queued successfully.","task_id":"c68dc72e-fc23-5452-8f49-d7bd46088a96"}},"UserOverviewResponse":{"properties":{"user_id":{"type":"string","format":"uuid","title":"User Id"},"num_files":{"type":"integer","title":"Num Files"},"total_size_in_bytes":{"type":"integer","title":"Total Size In Bytes"},"document_ids":{"items":{"type":"string","format":"uuid"},"type":"array","title":"Document Ids"}},"type":"object","required":["user_id","num_files","total_size_in_bytes","document_ids"],"title":"UserOverviewResponse"},"UserResponse":{"properties":{"id":{"type":"string","format":"uuid","title":"Id"},"email":{"type":"string","title":"Email"},"is_active":{"type":"boolean","title":"Is Active","default":true},"is_superuser":{"type":"boolean","title":"Is Superuser","default":false},"created_at":{"type":"string","format":"date-time","title":"Created At","default":"2024-09-18T18:14:34.700273"},"updated_at":{"type":"string","format":"date-time","title":"Updated At","default":"2024-09-18T18:14:34.700279"},"is_verified":{"type":"boolean","title":"Is Verified","default":false},"collection_ids":{"items":{"type":"string","format":"uuid"},"type":"array","title":"Collection Ids","default":[]},"hashed_password":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Hashed Password"},"verification_code_expiry":{"anyOf":[{"type":"string","format":"date-time"},{"type":"null"}],"title":"Verification Code Expiry"},"name":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Name"},"bio":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Bio"},"profile_picture":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Profile Picture"}},"type":"object","required":["id","email"],"title":"UserResponse"},"ValidationError":{"properties":{"loc":{"items":{"anyOf":[{"type":"string"},{"type":"integer"}]},"type":"array","title":"Location"},"msg":{"type":"string","title":"Message"},"type":{"type":"string","title":"Error Type"}},"type":"object","required":["loc","msg","type"],"title":"ValidationError"},"VectorSearchResult":{"properties":{"fragment_id":{"type":"string","format":"uuid","title":"Fragment Id"},"extraction_id":{"type":"string","format":"uuid","title":"Extraction Id"},"document_id":{"type":"string","format":"uuid","title":"Document Id"},"user_id":{"anyOf":[{"type":"string","format":"uuid"},{"type":"null"}],"title":"User Id"},"collection_ids":{"items":{"type":"string","format":"uuid"},"type":"array","title":"Collection Ids"},"score":{"type":"number","title":"Score"},"text":{"type":"string","title":"Text"},"metadata":{"type":"object","title":"Metadata"}},"type":"object","required":["fragment_id","extraction_id","document_id","user_id","collection_ids","score","text","metadata"],"title":"VectorSearchResult","description":"Result of a search operation.","collection_ids":[],"document_id":"3e157b3a-8469-51db-90d9-52e7d896b49b","extraction_id":"3f3d47f3-8baf-58eb-8bc2-0171fb1c6e09","fragment_id":"c68dc72e-fc23-5452-8f49-d7bd46088a96","metadata":{"associated_query":"What is the capital of France?","title":"example_document.pdf"},"score":0.23943702876567796,"text":"Example text from the document","user_id":"2acb499e-8428-543b-bd85-0d9098718220"},"VectorSearchSettings":{"properties":{"use_vector_search":{"type":"boolean","title":"Use Vector Search","description":"Whether to use vector search","default":true},"use_hybrid_search":{"type":"boolean","title":"Use Hybrid Search","description":"Whether to perform a hybrid search (combining vector and keyword search)","default":false},"filters":{"type":"object","title":"Filters","description":"Filters to apply to the vector search"},"search_limit":{"type":"integer","maximum":1000.0,"minimum":1.0,"title":"Search Limit","description":"Maximum number of results to return","default":10},"selected_collection_ids":{"items":{"type":"string","format":"uuid"},"type":"array","title":"Selected Collection Ids","description":"Collection IDs to search for"},"index_measure":{"$ref":"#/components/schemas/IndexMeasure","description":"The distance measure to use for indexing","default":"cosine_distance"},"include_values":{"type":"boolean","title":"Include Values","description":"Whether to include search score values in the search results","default":true},"include_metadatas":{"type":"boolean","title":"Include Metadatas","description":"Whether to include element metadata in the search results","default":true},"probes":{"anyOf":[{"type":"integer"},{"type":"null"}],"title":"Probes","description":"Number of ivfflat index lists to query. Higher increases accuracy but decreases speed.","default":10},"ef_search":{"anyOf":[{"type":"integer"},{"type":"null"}],"title":"Ef Search","description":"Size of the dynamic candidate list for HNSW index search. Higher increases accuracy but decreases speed.","default":40},"hybrid_search_settings":{"anyOf":[{"$ref":"#/components/schemas/HybridSearchSettings"},{"type":"null"}],"description":"Settings for hybrid search","default":{"full_text_weight":1.0,"semantic_weight":5.0,"full_text_limit":200,"rrf_k":50}},"search_strategy":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Search Strategy","description":"Search strategy to use (e.g., 'default', 'query_fusion', 'hyde')","default":"vanilla"}},"type":"object","title":"VectorSearchSettings","ef_search":40,"filters":{"category":"technology"},"hybrid_search_settings":{"full_text_limit":200,"full_text_weight":1.0,"rrf_k":50,"semantic_weight":5.0},"include_metadata":true,"index_measure":"cosine_distance","probes":10,"search_limit":20,"selected_collection_ids":["2acb499e-8428-543b-bd85-0d9098718220","3e157b3a-8469-51db-90d9-52e7d896b49b"],"use_hybrid_search":true,"use_vector_search":true}},"securitySchemes":{"HTTPBearer":{"type":"http","scheme":"bearer"},"OAuth2PasswordBearer":{"type":"oauth2","flows":{"password":{"scopes":{},"tokenUrl":"token"}}}}}}
diff --git a/docs/cookbooks/graphrag.mdx b/docs/cookbooks/graphrag.mdx
index 881be26be..a9d08dc6e 100644
--- a/docs/cookbooks/graphrag.mdx
+++ b/docs/cookbooks/graphrag.mdx
@@ -32,9 +32,9 @@ r2r serve
 [kg]
 provider = "neo4j"
 batch_size = 256
-kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
 
   [kg.kg_creation_settings]
+    kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
     entity_types = [] # if empty, all entities are extracted
     relation_types = [] # if empty, all relations are extracted
     max_knowledge_triples = 100
@@ -47,15 +47,15 @@ kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
     generation_config = { model = "gpt-4o-mini" } # and other params, model used for node description and graph clustering
     leiden_params = { max_levels = 10 } # more params here: https://neo4j.com/docs/graph-data-science/current/algorithms/leiden/
 
-  [kg.kg_search_config]
-    model = "gpt-4o-mini"
+  [kg.kg_search_settings]
+    generation_config = { model = "gpt-4o-mini" }
 ```
 </Accordion>
 </Tab>
 
 <Tab title="Local LLMs">
 ```bash
-r2r serve --config-name=local_llm_neo4j_kg
+r2r serve --config-name=local_llm
 ```
 
 ### Local LLM Setup (Optional)
@@ -72,7 +72,7 @@ When running with local RAG, you must have the Triplex model available locally.
   ```
 
 
-<Accordion icon="gear" title="Configuration: local_llm_neo4j_kg">
+<Accordion icon="gear" title="Configuration: local_llm">
 ``` toml
 [completion]
 provider = "litellm"
@@ -96,9 +96,9 @@ excluded_parsers = [ "gif", "jpeg", "jpg", "png", "svg", "mp3", "mp4" ]
 
 [kg]
 provider = "neo4j"
-kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
 
   [kg.kg_creation_settings]
+    kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
     entity_types = [] # if empty, all entities are extracted
     relation_types = [] # if empty, all relations are extracted
     max_knowledge_triples = 100
@@ -111,8 +111,8 @@ kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
     generation_config = { model = "ollama/llama3.1" } # and other params, model used for node description and graph clustering
     leiden_params = { max_levels = 10 } # more params here: https://neo4j.com/docs/graph-data-science/current/algorithms/leiden/
 
-  [kg.kg_search_config]
-    model = "ollama/llama3.1"
+  [kg.kg_search_settings]
+    generation_config = { model = "ollama/llama3.1" }
 
 [database]
 provider = "postgres"
diff --git a/docs/documentation/configuration/knowledge-graph/enrichment.mdx b/docs/documentation/configuration/knowledge-graph/enrichment.mdx
index a500adf0a..1f15f5d9a 100644
--- a/docs/documentation/configuration/knowledge-graph/enrichment.mdx
+++ b/docs/documentation/configuration/knowledge-graph/enrichment.mdx
@@ -11,9 +11,9 @@ You can configure knowledge graph enrichment in the R2R configuration file. To d
 [kg]
 provider = "neo4j"
 batch_size = 256
-kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
 
   [kg.kg_creation_settings]
+    kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
     entity_types = [] # if empty, all entities are extracted
     relation_types = [] # if empty, all relations are extracted
     fragment_merge_count = 4 # number of fragments to merge into a single extraction
@@ -26,8 +26,8 @@ kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
     generation_config = { model = "gpt-4o-mini" } # and other generation params
     leiden_params = { max_levels = 10 } # more params in graspologic/partition/leiden.py
 
-  [kg.kg_search_config]
-    model = "gpt-4o-mini"
+  [kg.kg_search_settings]
+    generation_config = { model = "gpt-4o-mini" }
 ```
 
 Next you can do GraphRAG with the knowledge graph. Find out more about GraphRAG in the [GraphRAG Guide](/cookbooks/graphrag).
diff --git a/docs/documentation/configuration/knowledge-graph/overview.mdx b/docs/documentation/configuration/knowledge-graph/overview.mdx
index d17fe2082..14f278abb 100644
--- a/docs/documentation/configuration/knowledge-graph/overview.mdx
+++ b/docs/documentation/configuration/knowledge-graph/overview.mdx
@@ -30,8 +30,8 @@ kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
     generation_config = { model = "gpt-4o-mini" } # and other generation params below
     leiden_params = { max_levels = 10 } # more params in https://neo4j.com/docs/graph-data-science/current/algorithms/leiden/
 
-  [kg.kg_search_config]
-    model = "gpt-4o-mini"
+  [kg.kg_search_settings]
+    generation_config = { model = "gpt-4o-mini" }
 ```
 
 
@@ -47,7 +47,7 @@ Let's break down the knowledge graph configuration options:
 - `kg_enrichment_settings`: Similar configuration for the model used in knowledge graph enrichment.
   - `generation_config`: Configuration for the model used in knowledge graph enrichment.
   - `leiden_params`: Parameters for the Leiden algorithm.
-- `kg_search_config`: Similar configuration for the model used in knowledge graph search operations.
+- `kg_search_settings`: Similar configuration for the model used in knowledge graph search operations.
 
 ### Neo4j Configuration
 
@@ -88,7 +88,7 @@ The Neo4jKGProvider supports various operations:
 
 ### Customization
 
-You can customize the knowledge graph extraction and search processes by modifying the `kg_extraction_prompt` and adjusting the model configurations in `kg_extraction_config` and `kg_search_config`. Moreover, you can customize the LLM models used in various parts of the knowledge graph creation process. All of these options can be selected at runtime, with the only exception being the specified database provider. For more details, refer to the knowledge graph settings in the [search API](/api-reference/endpoint/search).
+You can customize the knowledge graph extraction and search processes by modifying the `kg_extraction_prompt` and adjusting the model configurations in `kg_extraction_settings` and `kg_search_settings`. Moreover, you can customize the LLM models used in various parts of the knowledge graph creation process. All of these options can be selected at runtime, with the only exception being the specified database provider. For more details, refer to the knowledge graph settings in the [search API](/api-reference/endpoint/search).
 
 By leveraging the knowledge graph capabilities, you can enhance R2R's understanding of document relationships and improve the quality of search and retrieval operations.
 
diff --git a/docs/documentation/configuration/postgres.mdx b/docs/documentation/configuration/postgres.mdx
index 6041d3762..9a5c21d2d 100644
--- a/docs/documentation/configuration/postgres.mdx
+++ b/docs/documentation/configuration/postgres.mdx
@@ -35,7 +35,7 @@ password = "your_postgres_password"
 host = "your_postgres_host"
 port = "your_postgres_port"
 db_name = "your_database_name"
-your_project_name = "your_project_collection_name"
+your_project_name = "your_project_name"
 ```
 
 2. Alternatively, you can set the following environment variables:
@@ -46,7 +46,7 @@ export POSTGRES_PASSWORD=your_postgres_password
 export POSTGRES_HOST=your_postgres_host
 export POSTGRES_PORT=your_postgres_port
 export POSTGRES_DBNAME=your_database_name
-export POSTGRES_PROJECT_NAME=your_vector_collection_name
+export POSTGRES_PROJECT_NAME=your_project_name
 ```
 
 ## Advanced Postgres Features in R2R
diff --git a/docs/documentation/configuration/rag.mdx b/docs/documentation/configuration/rag.mdx
index 17eb8b5ad..4f08989b9 100644
--- a/docs/documentation/configuration/rag.mdx
+++ b/docs/documentation/configuration/rag.mdx
@@ -44,7 +44,7 @@ kg_search_settings = {
     "use_kg_search": True,
     "kg_search_type": "global",
     "kg_search_level": None,
-    "kg_search_generation_config": {
+    "generation_config": {
         "model": "gpt-4",
         "temperature": 0.1
     },
diff --git a/docs/documentation/configuration/retrieval/knowledge-graph.mdx b/docs/documentation/configuration/retrieval/knowledge-graph.mdx
index 2d2c2d5d6..1d7be1984 100644
--- a/docs/documentation/configuration/retrieval/knowledge-graph.mdx
+++ b/docs/documentation/configuration/retrieval/knowledge-graph.mdx
@@ -9,7 +9,7 @@ kg_search_settings = {
     "use_kg_search": True,
     "kg_search_type": "global",
     "kg_search_level": None,
-    "kg_search_generation_config": {
+    "generation_config": {
         "model": "gpt-4",
         "temperature": 0.1
     },
@@ -28,7 +28,7 @@ response = client.search("query", kg_search_settings=kg_search_settings)
 1. `use_kg_search` (bool): Whether to use knowledge graph search
 2. `kg_search_type` (str): Type of knowledge graph search ('global' or 'local')
 3. `kg_search_level` (Optional[str]): Level of knowledge graph search
-4. `kg_search_generation_config` (Optional[GenerationConfig]): Configuration for knowledge graph search generation
+4. `generation_config` (Optional[GenerationConfig]): Configuration for knowledge graph search generation
 5. `entity_types` (list): Types of entities to search for
 6. `relationships` (list): Types of relationships to search for
 7. `max_community_description_length` (int): Maximum length of community descriptions (default: 65536)
diff --git a/docs/documentation/deep-dive/providers/database.mdx b/docs/documentation/deep-dive/providers/database.mdx
index f6c500cd3..2e09b1587 100644
--- a/docs/documentation/deep-dive/providers/database.mdx
+++ b/docs/documentation/deep-dive/providers/database.mdx
@@ -40,7 +40,7 @@ export POSTGRES_PASSWORD=your_postgres_password
 export POSTGRES_HOST=your_postgres_host
 export POSTGRES_PORT=your_postgres_port
 export POSTGRES_DBNAME=your_database_name
-export POSTGRES_PROJECT_NAME=your_collection_name
+export POSTGRES_PROJECT_NAME=your_project_name
 ```
 Environment variables take precedence over the config settings in case of conflicts. The R2R Docker includes configuration options that facilitate integration with a combined Postgres+pgvector database setup.
 
diff --git a/docs/documentation/deep-dive/providers/knowledge-graph.mdx b/docs/documentation/deep-dive/providers/knowledge-graph.mdx
index 04e733c17..e516fb0af 100644
--- a/docs/documentation/deep-dive/providers/knowledge-graph.mdx
+++ b/docs/documentation/deep-dive/providers/knowledge-graph.mdx
@@ -29,13 +29,13 @@ These are located in the `r2r.toml` file, under the `[kg]` section.
 [kg]
 provider = "neo4j"
 batch_size = 256
-kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
 user = "your_neo4j_user"
 password = "your_neo4j_password"
 url = "your_neo4j_url"
 database = "your_neo4j_database"
 
   [kg.kg_creation_settings]
+    kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
     entity_types = ["Person", "Organization", "Location"] # if empty, all entities are extracted
     relation_types = ["works at", "founded by", "invested in"] # if empty, all relations are extracted
     max_knowledge_triples = 100
diff --git a/docs/documentation/js-sdk/retrieval.mdx b/docs/documentation/js-sdk/retrieval.mdx
index cdaadf2ca..f10ddb521 100644
--- a/docs/documentation/js-sdk/retrieval.mdx
+++ b/docs/documentation/js-sdk/retrieval.mdx
@@ -109,7 +109,7 @@ const searchResponse = await client.search("What was Uber's profit in 2020?");
     Level of knowledge graph search.
     </ParamField>
 
-    <ParamField path="kg_search_generation_config" type="Optional[GenerationConfig]" default="GenerationConfig()">
+    <ParamField path="generation_config" type="Optional[GenerationConfig]" default="GenerationConfig()">
     Configuration for knowledge graph search generation.
     </ParamField>
 
@@ -331,7 +331,7 @@ const ragResponse = await client.rag("What was Uber's profit in 2020?");
     Level of knowledge graph search.
     </ParamField>
 
-    <ParamField path="kg_search_generation_config" type="Optional[GenerationConfig]" default="GenerationConfig()">
+    <ParamField path="generation_config" type="Optional[GenerationConfig]" default="GenerationConfig()">
     Configuration for knowledge graph search generation.
     </ParamField>
 
@@ -620,7 +620,7 @@ Note that any of the customization seen in AI powered search and RAG documentati
   Whether to use knowledge graph search.
 </ParamField>
 
-<ParamField path="kg_search_generation_config" type="object">
+<ParamField path="generation_config" type="object">
   Optional configuration for knowledge graph search generation.
 </ParamField>
 
diff --git a/docs/documentation/python-sdk/retrieval.mdx b/docs/documentation/python-sdk/retrieval.mdx
index b551eb9b1..b38c5a316 100644
--- a/docs/documentation/python-sdk/retrieval.mdx
+++ b/docs/documentation/python-sdk/retrieval.mdx
@@ -129,7 +129,7 @@ search_response = client.search("What was Uber's profit in 2020?")
     Level of knowledge graph search.
     </ParamField>
 
-    <ParamField path="kg_search_generation_config" type="Optional[GenerationConfig]" default="GenerationConfig()">
+    <ParamField path="generation_config" type="Optional[GenerationConfig]" default="GenerationConfig()">
     Configuration for knowledge graph search generation.
     </ParamField>
 
@@ -206,7 +206,7 @@ kg_search_response = client.search(
       "use_kg_search": True,
       "kg_search_type": "local",
       "kg_search_level": "0",
-      "kg_search_generation_config": {
+      "generation_config": {
           "model": "gpt-4o-mini",
           "temperature": 0.7,
       },
@@ -393,7 +393,7 @@ rag_response = client.rag("What was Uber's profit in 2020?")
     Level of knowledge graph search.
     </ParamField>
 
-    <ParamField path="kg_search_generation_config" type="Optional[GenerationConfig]" default="GenerationConfig()">
+    <ParamField path="generation_config" type="Optional[GenerationConfig]" default="GenerationConfig()">
     Configuration for knowledge graph search generation.
     </ParamField>
 
@@ -703,7 +703,7 @@ Note that any of the customization seen in AI powered search and RAG documentati
     Level of knowledge graph search.
     </ParamField>
 
-    <ParamField path="kg_search_generation_config" type="Optional[GenerationConfig]" default="GenerationConfig()">
+    <ParamField path="generation_config" type="Optional[GenerationConfig]" default="GenerationConfig()">
     Configuration for knowledge graph search generation.
     </ParamField>
 
diff --git a/js/sdk/package-lock.json b/js/sdk/package-lock.json
index 4f16d468a..dd9159003 100644
--- a/js/sdk/package-lock.json
+++ b/js/sdk/package-lock.json
@@ -1,12 +1,12 @@
 {
   "name": "r2r-js",
-  "version": "0.3.1",
+  "version": "0.3.3",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "r2r-js",
-      "version": "0.3.0",
+      "version": "0.3.3",
       "license": "ISC",
       "dependencies": {
         "axios": "^1.7.4",
diff --git a/js/sdk/package.json b/js/sdk/package.json
index e39fd8e8b..d94515387 100644
--- a/js/sdk/package.json
+++ b/js/sdk/package.json
@@ -1,6 +1,6 @@
 {
   "name": "r2r-js",
-  "version": "0.3.2",
+  "version": "0.3.3",
   "description": "",
   "main": "dist/index.js",
   "browser": "dist/index.browser.js",
diff --git a/js/sdk/src/models.tsx b/js/sdk/src/models.tsx
index 09145c46d..77f79d4f2 100644
--- a/js/sdk/src/models.tsx
+++ b/js/sdk/src/models.tsx
@@ -40,6 +40,7 @@ export interface VectorSearchSettings {
   use_hybrid_search?: boolean;
   filters?: Record<string, any>;
   search_limit?: number;
+  offset?: number;
   selected_collection_ids?: string[];
   index_measure: IndexMeasure;
   include_values?: boolean;
@@ -54,7 +55,7 @@ export interface KGSearchSettings {
   use_kg_search?: boolean;
   kg_search_type?: "global" | "local";
   kg_search_level?: number | null;
-  kg_search_generation_config?: GenerationConfig;
+  generation_config?: GenerationConfig;
   entity_types?: any[];
   relationships?: any[];
   max_community_description_length?: number;
diff --git a/js/sdk/src/r2rClient.ts b/js/sdk/src/r2rClient.ts
index 8ac8e6cb1..9e7209760 100644
--- a/js/sdk/src/r2rClient.ts
+++ b/js/sdk/src/r2rClient.ts
@@ -738,14 +738,30 @@ export class r2rClient {
 
   /**
    * An overview of the users in the R2R deployment.
-   * @param user_ids
+   * @param user_ids List of user IDs to get an overview for.
+   * * @param offset The offset to start listing users from.
+   * @param limit The maximum number of users to return.
    * @returns
    */
   @feature("usersOverview")
-  async usersOverview(user_ids?: string[]): Promise<Record<string, any>> {
+  async usersOverview(
+    user_ids?: string[],
+    offset?: number,
+    limit?: number,
+  ): Promise<Record<string, any>> {
     this._ensureAuthenticated();
 
-    const params: { user_ids?: string[] } = {};
+    let params: Record<string, any> = {};
+    if (user_ids && user_ids.length > 0) {
+      params.user_ids = user_ids;
+    }
+    if (offset !== undefined) {
+      params.offset = offset;
+    }
+    if (limit !== undefined) {
+      params.limit = limit;
+    }
+
     if (user_ids && user_ids.length > 0) {
       params.user_ids = user_ids;
     }
@@ -786,16 +802,28 @@ export class r2rClient {
   /**
    * Get an overview of documents in the R2R deployment.
    * @param document_ids List of document IDs to get an overview for.
+   * @param offset The offset to start listing documents from.
+   * @param limit The maximum number of documents to return.
    * @returns A promise that resolves to the response from the server.
    */
   @feature("documentsOverview")
-  async documentsOverview(document_ids?: string[]): Promise<any> {
+  async documentsOverview(
+    document_ids?: string[],
+    offset?: number,
+    limit?: number,
+  ): Promise<any> {
     this._ensureAuthenticated();
 
-    let params: Record<string, string[]> = {};
+    let params: Record<string, any> = {};
     if (document_ids && document_ids.length > 0) {
       params.document_ids = document_ids;
     }
+    if (offset !== undefined) {
+      params.offset = offset;
+    }
+    if (limit !== undefined) {
+      params.limit = limit;
+    }
 
     return this._makeRequest("GET", "documents_overview", { params });
   }
@@ -806,13 +834,26 @@ export class r2rClient {
    * @returns A promise that resolves to the response from the server.
    */
   @feature("documentChunks")
-  async documentChunks(document_id: string): Promise<any> {
+  async documentChunks(
+    document_id: string,
+    offset?: number,
+    limit?: number,
+  ): Promise<any> {
     this._ensureAuthenticated();
 
+    const params: Record<string, number> = {};
+    if (offset !== undefined) {
+      params.offset = offset;
+    }
+    if (limit !== undefined) {
+      params.limit = limit;
+    }
+
     return this._makeRequest("GET", `document_chunks/${document_id}`, {
       headers: {
         "Content-Type": "application/json",
       },
+      params,
     });
   }
 
@@ -822,10 +863,16 @@ export class r2rClient {
    * @returns A promise that resolves to the response from the server.
    */
   @feature("inspectKnowledgeGraph")
-  async inspectKnowledgeGraph(limit?: number): Promise<Record<string, any>> {
+  async inspectKnowledgeGraph(
+    offset?: number,
+    limit?: number,
+  ): Promise<Record<string, any>> {
     this._ensureAuthenticated();
 
-    const params: { limit?: number } = {};
+    const params: Record<string, number> = {};
+    if (offset !== undefined) {
+      params.offset = offset;
+    }
     if (limit !== undefined) {
       params.limit = limit;
     }
@@ -843,8 +890,8 @@ export class r2rClient {
   @feature("collectionsOverview")
   async collectionsOverview(
     collectionIds?: string[],
-    limit?: number,
     offset?: number,
+    limit?: number,
   ): Promise<Record<string, any>> {
     this._ensureAuthenticated();
 
@@ -891,7 +938,10 @@ export class r2rClient {
   @feature("getCollection")
   async getCollection(collectionId: string): Promise<Record<string, any>> {
     this._ensureAuthenticated();
-    return this._makeRequest("GET", `get_collection/${encodeURIComponent(collectionId)}`);
+    return this._makeRequest(
+      "GET",
+      `get_collection/${encodeURIComponent(collectionId)}`,
+    );
   }
 
   /**
@@ -909,9 +959,10 @@ export class r2rClient {
   ): Promise<Record<string, any>> {
     this._ensureAuthenticated();
 
-    const data: { collection_id: string; name?: string; description?: string } = {
-      collection_id: collectionId,
-    };
+    const data: { collection_id: string; name?: string; description?: string } =
+      {
+        collection_id: collectionId,
+      };
     if (name !== undefined) {
       data.name = name;
     }
@@ -1030,11 +1081,25 @@ export class r2rClient {
    * @returns A promise that resolves to the response from the server.
    */
   @feature("getCollectionsForUser")
-  async getCollectionsForUser(userId: string): Promise<Record<string, any>> {
+  async getCollectionsForUser(
+    userId: string,
+    offset?: number,
+    limit?: number,
+  ): Promise<Record<string, any>> {
     this._ensureAuthenticated();
+
+    const params: Record<string, string | number> = {};
+    if (offset !== undefined) {
+      params.offset = offset;
+    }
+    if (limit !== undefined) {
+      params.limit = limit;
+    }
+
     return this._makeRequest(
       "GET",
-      `get_collections_for_user/${encodeURIComponent(userId)}`,
+      `user_collections/${encodeURIComponent(userId)}`,
+      { params },
     );
   }
 
@@ -1080,12 +1145,25 @@ export class r2rClient {
    * @returns
    */
   @feature("getDocumentCollections")
-  async getDocumentCollections(documentId: string): Promise<Record<string, any>> {
+  async getDocumentCollections(
+    documentId: string,
+    offset?: number,
+    limit?: number,
+  ): Promise<Record<string, any>> {
     this._ensureAuthenticated();
 
+    const params: Record<string, string | number> = {};
+    if (offset !== undefined) {
+      params.offset = offset;
+    }
+    if (limit !== undefined) {
+      params.limit = limit;
+    }
+
     return this._makeRequest(
       "GET",
       `get_document_collections/${encodeURIComponent(documentId)}`,
+      { params },
     );
   }
 
diff --git a/py/Dockerfile b/py/Dockerfile
index 0031e09ee..ba9470bab 100644
--- a/py/Dockerfile
+++ b/py/Dockerfile
@@ -38,6 +38,7 @@ COPY . /app
 # Copy the application and config
 COPY core /app/core
 COPY r2r /app/r2r
+COPY shared /app/shared
 COPY r2r.toml /app/r2r.toml
 COPY pyproject.toml /app/pyproject.toml
 
diff --git a/py/Dockerfile.dev b/py/Dockerfile.dev
index ee307bbc3..6f997ca20 100644
--- a/py/Dockerfile.dev
+++ b/py/Dockerfile.dev
@@ -26,6 +26,7 @@ RUN poetry config virtualenvs.create false \
 # Copy only the necessary application files
 COPY core /app/core
 COPY r2r /app/r2r
+COPY shared /app/shared
 COPY r2r.toml /app/r2r.toml
 
 # Stage 2: Final Image
@@ -45,8 +46,11 @@ COPY --from=builder /usr/local/bin /usr/local/bin
 # Copy only the necessary application files from the builder
 COPY --from=builder /app/core /app/core
 COPY --from=builder /app/r2r /app/r2r
+COPY --from=builder /app/shared /app/shared
 COPY --from=builder /app/r2r.toml /app/r2r.toml
 
+COPY pyproject.toml /app/pyproject.toml
+
 # Set environment variables for port and host
 ARG PORT=7272
 ARG HOST=0.0.0.0
diff --git a/py/cli/__init__.py b/py/cli/__init__.py
index 8f4bb2e43..d9abf15cc 100644
--- a/py/cli/__init__.py
+++ b/py/cli/__init__.py
@@ -6,7 +6,7 @@
     # From cli.py
     "cli",
     "main",
-    # From Command Group
+    # From Command Collection
     "command_group_cli",
     # From Commands
     "auth",
diff --git a/py/cli/cli.py b/py/cli/cli.py
index 9e656cb2f..11030c136 100644
--- a/py/cli/cli.py
+++ b/py/cli/cli.py
@@ -59,8 +59,8 @@ def main():
         pass
     except Exception as e:
         # Handle other exceptions if needed
-        print(f"An error occurred: {e}")
-        sys.exit(1)
+        print(f"CLI error: An error occurred")
+        raise e
 
 
 if __name__ == "__main__":
diff --git a/py/cli/commands/ingestion.py b/py/cli/commands/ingestion.py
index 2414a6679..d58362f0d 100644
--- a/py/cli/commands/ingestion.py
+++ b/py/cli/commands/ingestion.py
@@ -55,20 +55,6 @@ def ingest_files_from_urls(client, urls):
             os.unlink(temp_file.name)
 
 
-@cli.command()
-@pass_context
-def ingest_sample_file(ctx):
-    """Ingest the first sample file into R2R."""
-    client = ctx.obj
-    sample_file_url = "https://raw.githubusercontent.com/SciPhi-AI/R2R/main/py/core/examples/data/aristotle.txt"
-
-    with timer():
-        response = ingest_files_from_urls(client, [sample_file_url])
-    click.echo(
-        f"Sample file ingestion completed. Ingest files response:\n\n{response}"
-    )
-
-
 @cli.command()
 @click.argument(
     "file_paths", nargs=-1, required=True, type=click.Path(exists=True)
@@ -136,48 +122,6 @@ def update_files(ctx, file_paths, document_ids, metadatas):
     click.echo(json.dumps(response, indent=2))
 
 
-def ingest_files_from_urls(client, urls):
-    """Download and ingest files from given URLs."""
-    files_to_ingest = []
-    metadatas = []
-    document_ids = []
-    temp_files = []
-
-    try:
-        for url in urls:
-            filename = os.path.basename(urlparse(url).path)
-            is_pdf = filename.lower().endswith(".pdf")
-
-            temp_file = tempfile.NamedTemporaryFile(
-                mode="wb" if is_pdf else "w+",
-                delete=False,
-                suffix=f"_{filename}",
-            )
-            temp_files.append(temp_file)
-
-            response = requests.get(url)
-            response.raise_for_status()
-            if is_pdf:
-                temp_file.write(response.content)
-            else:
-                temp_file.write(response.text)
-            temp_file.close()
-
-            files_to_ingest.append(temp_file.name)
-            metadatas.append({"title": filename})
-            document_ids.append(uuid.uuid5(uuid.NAMESPACE_DNS, url))
-
-        response = client.ingest_files(
-            files_to_ingest, metadatas=metadatas, document_ids=document_ids
-        )
-
-        return response["results"]
-    finally:
-        # Clean up temporary files
-        for temp_file in temp_files:
-            os.unlink(temp_file.name)
-
-
 @cli.command()
 @pass_context
 def ingest_sample_file(ctx):
diff --git a/py/cli/commands/restructure.py b/py/cli/commands/restructure.py
index cc60ac453..4c7e54d93 100644
--- a/py/cli/commands/restructure.py
+++ b/py/cli/commands/restructure.py
@@ -11,7 +11,7 @@
 @click.option(
     "--document-ids",
     required=False,
-    default="",
+    default=None,
     help="Document IDs to create graph for (comma-separated)",
 )
 @pass_context
@@ -21,7 +21,7 @@ def create_graph(ctx, document_ids):
     """
     client = ctx.obj
     with timer():
-        if document_ids == "":
+        if document_ids is None:
             document_ids = []
         else:
             document_ids = document_ids.split(",")
diff --git a/py/cli/commands/retrieval.py b/py/cli/commands/retrieval.py
index b72ab895e..33afaa41c 100644
--- a/py/cli/commands/retrieval.py
+++ b/py/cli/commands/retrieval.py
@@ -91,7 +91,7 @@ def search(ctx, query, **kwargs):
             "use_kg_search",
             "kg_search_type",
             "kg_search_level",
-            "kg_search_generation_config",
+            "generation_config",
             "entity_types",
             "relationships",
             "max_community_description_length",
@@ -147,7 +147,7 @@ def search(ctx, query, **kwargs):
 @click.option(
     "--use-kg-search", is_flag=True, help="Use knowledge graph search"
 )
-@click.option("--kg-search-type", default="global", help="Local or Global")
+@click.option("--kg-search-type", default="local", help="Local or Global")
 @click.option(
     "--kg-search-level",
     default=None,
@@ -219,11 +219,12 @@ def rag(ctx, query, **kwargs):
     }
 
     if kg_search_settings.get("kg_search_model"):
-        kg_search_settings["kg_search_generation_config"] = {
+        kg_search_settings["generation_config"] = {
             "model": kg_search_settings.pop("kg_search_model")
         }
 
     with timer():
+        print("passing kg_search_settings = ", kg_search_settings)
         response = client.rag(
             query,
             rag_generation_config,
diff --git a/py/cli/commands/server.py b/py/cli/commands/server.py
index 69fffdef9..90cba2a78 100644
--- a/py/cli/commands/server.py
+++ b/py/cli/commands/server.py
@@ -297,19 +297,6 @@ def image_exists(img):
             check=True,
         )
 
-        subprocess.run(
-            [
-                "docker",
-                "build",
-                "-t",
-                "unstructured-docker",
-                "-f",
-                "Dockerfile.unstructured",
-                ".",
-            ],
-            check=True,
-        )
-
     if config_path:
         config_path = os.path.abspath(config_path)
 
diff --git a/py/cli/utils/param_types.py b/py/cli/utils/param_types.py
index 41765cc74..4916b1c28 100644
--- a/py/cli/utils/param_types.py
+++ b/py/cli/utils/param_types.py
@@ -1,5 +1,5 @@
 import json
-from typing import Any, Dict
+from typing import Any, Dict, Optional
 
 import asyncclick as click
 
@@ -7,7 +7,7 @@
 class JsonParamType(click.ParamType):
     name = "json"
 
-    def convert(self, value, param, ctx) -> Dict[str, Any]:
+    def convert(self, value, param, ctx) -> Optional[Dict[str, Any]]:
         if value is None:
             return None
         if isinstance(value, dict):
diff --git a/py/compose.yaml b/py/compose.yaml
index 62f393e00..b0b716b2d 100644
--- a/py/compose.yaml
+++ b/py/compose.yaml
@@ -194,7 +194,12 @@ services:
       retries: 5
     restart: on-failure
     volumes:
-      - ${CONFIG_PATH:-/}:${CONFIG_PATH:-/app/config}
+      - type: bind
+        source: ${CONFIG_PATH:-/}
+        target: ${CONFIG_PATH:-/app/config}
+        read_only: true
+        bind:
+          propagation: rslave
       - hatchet_api_key:/hatchet_api_key:ro
     labels:
       - "traefik.enable=true"
diff --git a/py/core/__init__.py b/py/core/__init__.py
index ca8315779..dc7f6de24 100644
--- a/py/core/__init__.py
+++ b/py/core/__init__.py
@@ -112,8 +112,6 @@
     "LoggingConfig",
     "PostgresLoggingConfig",
     "PostgresRunLoggingProvider",
-    "RedisLoggingConfig",
-    "RedisRunLoggingProvider",
     "RunLoggingSingleton",
     # Run Manager
     "RunManager",
@@ -246,7 +244,6 @@
     "StreamingSearchRAGPipe",
     "VectorSearchPipe",
     "VectorStoragePipe",
-    "WebSearchPipe",
     "KGStoragePipe",
     "MultiSearchPipe",
     ## PROVIDERS
diff --git a/py/core/agent/base.py b/py/core/agent/base.py
index 1b9375418..602ba6302 100644
--- a/py/core/agent/base.py
+++ b/py/core/agent/base.py
@@ -6,9 +6,10 @@
     AsyncSyncMeta,
     LLMChatCompletion,
     LLMChatCompletionChunk,
+    Message,
     syncable,
 )
-from core.base.agent import Agent, Message
+from core.base.agent import Agent
 
 
 class CombinedMeta(AsyncSyncMeta, ABCMeta):
@@ -48,7 +49,7 @@ async def arun(
         messages: Optional[list[Message]] = None,
         *args,
         **kwargs,
-    ) -> list[LLMChatCompletion]:
+    ) -> list[Message]:
         self._reset()
 
         if system_instruction or not self.conversation:
@@ -74,7 +75,7 @@ async def arun(
 
     async def process_llm_response(
         self, response: LLMChatCompletion, *args, **kwargs
-    ) -> str:
+    ) -> None:
         if not self._completed:
             message = response.choices[0].message
             if message.function_call:
@@ -100,7 +101,7 @@ async def process_llm_response(
 
 
 class R2RStreamingAgent(Agent):
-    async def arun(
+    async def arun(  # type: ignore
         self,
         system_instruction: Optional[str] = None,
         messages: Optional[list[Message]] = None,
@@ -140,8 +141,11 @@ def run(
             self.arun(system_instruction, messages, *args, **kwargs)
         )
 
-    async def process_llm_response(
-        self, stream: LLMChatCompletionChunk, *args, **kwargs
+    async def process_llm_response(  # type: ignore
+        self,
+        stream: Generator[LLMChatCompletionChunk, None, None],
+        *args,
+        **kwargs,
     ) -> AsyncGenerator[str, None]:
         function_name = None
         function_arguments = ""
@@ -151,17 +155,30 @@ async def process_llm_response(
             delta = chunk.choices[0].delta
             if delta.tool_calls:
                 for tool_call in delta.tool_calls:
+                    if not tool_call.function:
+                        raise ValueError(
+                            "Tool function not found in tool call."
+                        )
+                    name = tool_call.function.name
+                    if not name:
+                        raise ValueError("Tool name not found in tool call.")
+                    arguments = tool_call.function.arguments
+                    if not arguments:
+                        raise ValueError(
+                            "Tool arguments not found in tool call."
+                        )
+
                     results = await self.handle_function_or_tool_call(
-                        tool_call.function.name,
-                        tool_call.function.arguments,
+                        name,
+                        arguments,
                         # FIXME: tool_call.id,
                         *args,
                         **kwargs,
                     )
 
                     yield "<tool_call>"
-                    yield f"<name>{tool_call.function.name}</name>"
-                    yield f"<arguments>{tool_call.function.arguments}</arguments>"
+                    yield f"<name>{name}</name>"
+                    yield f"<arguments>{arguments}</arguments>"
                     yield f"<results>{results}</results>"
                     yield "</tool_call>"
 
@@ -177,6 +194,11 @@ async def process_llm_response(
                 yield delta.content
 
             if chunk.choices[0].finish_reason == "function_call":
+                if not function_name:
+                    raise ValueError(
+                        "Function name not found in function call."
+                    )
+
                 yield "<function_call>"
                 yield f"<name>{function_name}</name>"
                 yield f"<arguments>{function_arguments}</arguments>"
diff --git a/py/core/agent/rag.py b/py/core/agent/rag.py
index e017b5035..35c9c5f0a 100644
--- a/py/core/agent/rag.py
+++ b/py/core/agent/rag.py
@@ -1,5 +1,3 @@
-from typing import AsyncGenerator
-
 from core.agent import R2RAgent, R2RStreamingAgent
 from core.base import (
     format_search_results_for_llm,
@@ -59,6 +57,7 @@ async def search(
     ) -> list[AggregateSearchResult]:
         response = await self.search_pipeline.run(
             to_async_generator([query]),
+            state=None,
             vector_search_settings=vector_search_settings,
             kg_search_settings=kg_search_settings,
         )
diff --git a/py/core/base/__init__.py b/py/core/base/__init__.py
index 7a504b877..b3f34af79 100644
--- a/py/core/base/__init__.py
+++ b/py/core/base/__init__.py
@@ -86,8 +86,6 @@
     "LoggingConfig",
     "PostgresLoggingConfig",
     "PostgresRunLoggingProvider",
-    "RedisLoggingConfig",
-    "RedisRunLoggingProvider",
     "RunLoggingSingleton",
     # Run Manager
     "RunManager",
diff --git a/py/core/base/abstractions/__init__.py b/py/core/base/abstractions/__init__.py
index b90959e28..f9947e8fb 100644
--- a/py/core/base/abstractions/__init__.py
+++ b/py/core/base/abstractions/__init__.py
@@ -1,6 +1,6 @@
-from .base import AsyncSyncMeta, syncable
-from .completion import CompletionRecord, MessageType
-from .document import (
+from shared.abstractions.base import AsyncSyncMeta, R2RSerializable, syncable
+from shared.abstractions.completion import CompletionRecord, MessageType
+from shared.abstractions.document import (
     DataType,
     Document,
     DocumentExtraction,
@@ -10,9 +10,15 @@
     IngestionStatus,
     RestructureStatus,
 )
-from .embedding import EmbeddingPurpose, default_embedding_prefixes
-from .exception import R2RDocumentProcessingError, R2RException
-from .graph import (
+from shared.abstractions.embedding import (
+    EmbeddingPurpose,
+    default_embedding_prefixes,
+)
+from shared.abstractions.exception import (
+    R2RDocumentProcessingError,
+    R2RException,
+)
+from shared.abstractions.graph import (
     Community,
     CommunityReport,
     Entity,
@@ -21,27 +27,43 @@
     RelationshipType,
     Triple,
 )
-from .llm import (
+from shared.abstractions.llm import (
     GenerationConfig,
     LLMChatCompletion,
     LLMChatCompletionChunk,
     Message,
     RAGCompletion,
 )
-from .prompt import Prompt
-from .restructure import KGCreationSettings, KGEnrichmentSettings
-from .search import (
+from shared.abstractions.prompt import Prompt
+from shared.abstractions.restructure import (
+    KGCreationSettings,
+    KGEnrichmentSettings,
+)
+from shared.abstractions.search import (
     AggregateSearchResult,
+    HybridSearchSettings,
+    KGCommunityResult,
+    KGEntityResult,
+    KGGlobalResult,
+    KGRelationshipResult,
+    KGSearchMethod,
     KGSearchResult,
+    KGSearchResultType,
     KGSearchSettings,
     VectorSearchResult,
     VectorSearchSettings,
 )
-from .user import Token, TokenData, UserStats
-from .vector import StorageResult, Vector, VectorEntry, VectorType
+from shared.abstractions.user import Token, TokenData, UserStats
+from shared.abstractions.vector import (
+    StorageResult,
+    Vector,
+    VectorEntry,
+    VectorType,
+)
 
 __all__ = [
     # Base abstractions
+    "R2RSerializable",
     "AsyncSyncMeta",
     "syncable",
     # Completion abstractions
@@ -81,9 +103,16 @@
     # Search abstractions
     "AggregateSearchResult",
     "KGSearchResult",
+    "KGSearchMethod",
+    "KGSearchResultType",
+    "KGEntityResult",
+    "KGRelationshipResult",
+    "KGCommunityResult",
+    "KGGlobalResult",
     "KGSearchSettings",
     "VectorSearchResult",
     "VectorSearchSettings",
+    "HybridSearchSettings",
     # Restructure abstractions
     "KGCreationSettings",
     "KGEnrichmentSettings",
diff --git a/py/core/base/agent/__init__.py b/py/core/base/agent/__init__.py
index 0f31d707c..53414f437 100644
--- a/py/core/base/agent/__init__.py
+++ b/py/core/base/agent/__init__.py
@@ -1,11 +1,10 @@
-from .agent import Agent, AgentConfig, Conversation, Message, Tool, ToolResult
+from .agent import Agent, AgentConfig, Conversation, Tool, ToolResult
 
 __all__ = [
     # Agent abstractions
     "Agent",
     "AgentConfig",
     "Conversation",
-    "Message",
     "Tool",
     "ToolResult",
 ]
diff --git a/py/core/base/agent/agent.py b/py/core/base/agent/agent.py
index f477bb45b..705b1b23e 100644
--- a/py/core/base/agent/agent.py
+++ b/py/core/base/agent/agent.py
@@ -7,11 +7,12 @@
 from core.base.abstractions import (
     GenerationConfig,
     LLMChatCompletion,
+    Message,
     MessageType,
 )
 from core.base.providers import CompletionProvider, PromptProvider
 
-from .base import Message, Tool, ToolResult
+from .base import Tool, ToolResult
 
 
 class Conversation:
@@ -73,9 +74,9 @@ def __init__(
         self.llm_provider = llm_provider
         self.prompt_provider = prompt_provider
         self.config = config
-        self.conversation = []
+        self.conversation: list[Message] = []
         self._completed = False
-        self._tools = []
+        self._tools: list[Tool] = []
         self._register_tools()
 
     @abstractmethod
@@ -116,15 +117,15 @@ async def arun(
     @abstractmethod
     async def process_llm_response(
         self,
-        response: Union[Dict[str, Any], AsyncGenerator[Dict[str, Any], None]],
+        response: Any,
         *args,
         **kwargs,
-    ) -> Union[str, AsyncGenerator[str, None]]:
+    ) -> Union[None, AsyncGenerator[str, None]]:
         pass
 
     async def execute_tool(self, tool_name: str, *args, **kwargs) -> str:
         if tool := next((t for t in self.tools if t.name == tool_name), None):
-            return await tool.function(*args, **kwargs)
+            return await tool.results_function(*args, **kwargs)
         else:
             return f"Error: Tool {tool_name} not found."
 
@@ -176,7 +177,7 @@ async def handle_function_or_tool_call(
         tool_id: Optional[str] = None,
         *args,
         **kwargs,
-    ) -> Union[str, AsyncGenerator[str, None]]:
+    ) -> ToolResult:
         (
             self.conversation.append(
                 Message(
@@ -225,7 +226,6 @@ async def handle_function_or_tool_call(
             (
                 self.conversation.append(
                     Message(
-                        tool_call_id=tool_id,
                         role="tool",
                         content=str(tool_result.llm_formatted_result),
                         name=function_name,
diff --git a/py/core/base/agent/base.py b/py/core/base/agent/base.py
index 201728b6f..8b347f31e 100644
--- a/py/core/base/agent/base.py
+++ b/py/core/base/agent/base.py
@@ -1,11 +1,9 @@
-from typing import Any, Callable, Dict, Optional, Union
+from typing import Any, Callable, Dict, Optional
 
-from pydantic import BaseModel
+from ..abstractions import R2RSerializable
 
-from core.base.abstractions import MessageType
 
-
-class Tool(BaseModel):
+class Tool(R2RSerializable):
     name: str
     description: str
     results_function: Callable
@@ -17,15 +15,7 @@ class Config:
         arbitrary_types_allowed = True
 
 
-class ToolResult(BaseModel):
+class ToolResult(R2RSerializable):
     raw_result: Any
     llm_formatted_result: str
     stream_result: Optional[str] = None
-
-
-class Message(BaseModel):
-    role: Union[MessageType, str]
-    content: Optional[str] = None
-    name: Optional[str] = None
-    function_call: Optional[Dict[str, Any]] = None
-    tool_calls: Optional[list[Dict[str, Any]]] = None
diff --git a/py/core/base/api/models/__init__.py b/py/core/base/api/models/__init__.py
index 961c4234c..777ad2ee5 100644
--- a/py/core/base/api/models/__init__.py
+++ b/py/core/base/api/models/__init__.py
@@ -1,16 +1,23 @@
-from .auth.responses import GenericMessageResponse, TokenResponse, UserResponse
-from .ingestion.responses import (
+from shared.api.models.auth.responses import (
+    GenericMessageResponse,
+    TokenResponse,
+    UserResponse,
+    WrappedGenericMessageResponse,
+    WrappedTokenResponse,
+    WrappedUserResponse,
+)
+from shared.api.models.ingestion.responses import (
     IngestionResponse,
     WrappedIngestionResponse,
     WrappedUpdateResponse,
 )
-from .management.responses import (
+from shared.api.models.management.responses import (
     AnalyticsResponse,
     AppSettingsResponse,
+    CollectionOverviewResponse,
+    CollectionResponse,
     DocumentChunkResponse,
     DocumentOverviewResponse,
-    GroupOverviewResponse,
-    GroupResponse,
     KnowledgeGraphResponse,
     LogResponse,
     PromptResponse,
@@ -25,20 +32,23 @@
     WrappedCollectionResponse,
     WrappedDocumentChunkResponse,
     WrappedDocumentOverviewResponse,
+    WrappedGetPromptsResponse,
     WrappedKnowledgeGraphResponse,
     WrappedLogResponse,
     WrappedPromptMessageResponse,
     WrappedScoreCompletionResponse,
     WrappedServerStatsResponse,
+    WrappedUserCollectionResponse,
     WrappedUserOverviewResponse,
+    WrappedUsersInCollectionResponse,
 )
-from .restructure.responses import (
+from shared.api.models.restructure.responses import (
     KGCreationResponse,
     KGEnrichmentResponse,
     WrappedKGCreationResponse,
     WrappedKGEnrichmentResponse,
 )
-from .retrieval.responses import (
+from shared.api.models.retrieval.responses import (
     RAGAgentResponse,
     RAGResponse,
     SearchResponse,
@@ -52,6 +62,9 @@
     "GenericMessageResponse",
     "TokenResponse",
     "UserResponse",
+    "WrappedTokenResponse",
+    "WrappedUserResponse",
+    "WrappedGenericMessageResponse",
     # Ingestion Responses
     "IngestionResponse",
     "WrappedIngestionResponse",
@@ -72,8 +85,8 @@
     "DocumentOverviewResponse",
     "DocumentChunkResponse",
     "KnowledgeGraphResponse",
-    "GroupResponse",
-    "GroupOverviewResponse",
+    "CollectionResponse",
+    "CollectionOverviewResponse",
     "WrappedPromptMessageResponse",
     "WrappedServerStatsResponse",
     "WrappedLogResponse",
@@ -81,12 +94,18 @@
     "WrappedAppSettingsResponse",
     "WrappedScoreCompletionResponse",
     "WrappedUserOverviewResponse",
+    "WrappedDocumentChunkResponse",
     "WrappedDocumentOverviewResponse",
     "WrappedDocumentChunkResponse",
     "WrappedKnowledgeGraphResponse",
     "WrappedCollectionResponse",
+    "WrappedDocumentChunkResponse",
     "WrappedCollectionListResponse",
     "WrappedAddUserResponse",
+    "WrappedUsersInCollectionResponse",
+    "WrappedGetPromptsResponse",
+    "WrappedUserCollectionResponse",
+    "WrappedDocumentChunkResponse",
     "WrappedCollectionOverviewResponse",
     # Retrieval Responses
     "SearchResponse",
diff --git a/py/core/base/logging/__init__.py b/py/core/base/logging/__init__.py
index e72199005..333a03c2c 100644
--- a/py/core/base/logging/__init__.py
+++ b/py/core/base/logging/__init__.py
@@ -11,8 +11,6 @@
     LoggingConfig,
     PostgresLoggingConfig,
     PostgresRunLoggingProvider,
-    RedisLoggingConfig,
-    RedisRunLoggingProvider,
     RunLoggingSingleton,
 )
 from .run_manager import RunManager, manage_run
@@ -30,8 +28,6 @@
     "LoggingConfig",
     "PostgresLoggingConfig",
     "PostgresRunLoggingProvider",
-    "RedisLoggingConfig",
-    "RedisRunLoggingProvider",
     "RunLoggingSingleton",
     # Run Manager
     "RunManager",
diff --git a/py/core/base/logging/log_processor.py b/py/core/base/logging/log_processor.py
index 4953016f7..2eaf4dced 100644
--- a/py/core/base/logging/log_processor.py
+++ b/py/core/base/logging/log_processor.py
@@ -19,7 +19,7 @@ class LogProcessor:
 
     def __init__(self, filters: Dict[str, Callable[[Dict[str, Any]], bool]]):
         self.filters = filters
-        self.populations = {name: [] for name in filters}
+        self.populations: dict = {name: [] for name in filters}
 
     def process_log(self, log: Dict[str, Any]):
         for name, filter_func in self.filters.items():
diff --git a/py/core/base/logging/run_logger.py b/py/core/base/logging/run_logger.py
index 99fbff46d..0c84a48fa 100644
--- a/py/core/base/logging/run_logger.py
+++ b/py/core/base/logging/run_logger.py
@@ -28,7 +28,7 @@ class LoggingConfig(ProviderConfig):
     log_info_table: str = "log_info"
     logging_path: Optional[str] = None
 
-    def validate(self) -> None:
+    def validate_config(self) -> None:
         pass
 
     @property
@@ -148,6 +148,11 @@ async def log(
         key: str,
         value: str,
     ):
+        if not self.conn:
+            raise ValueError(
+                "Initialize the connection pool before attempting to log."
+            )
+
         await self.conn.execute(
             f"""
             INSERT INTO {self.log_table} (timestamp, run_id, key, value)
@@ -163,6 +168,11 @@ async def info_log(
         run_type: RunType,
         user_id: UUID,
     ):
+        if not self.conn:
+            raise ValueError(
+                "Initialize the connection pool before attempting to log."
+            )
+
         await self.conn.execute(
             f"""
             INSERT INTO {self.log_info_table} (timestamp, run_id, run_type, user_id)
@@ -183,6 +193,11 @@ async def get_info_logs(
         run_type_filter: Optional[RunType] = None,
         user_ids: Optional[list[UUID]] = None,
     ) -> list[RunInfoLog]:
+        if not self.conn:
+            raise ValueError(
+                "Initialize the connection pool before attempting to log."
+            )
+
         cursor = await self.conn.cursor()
         query = "SELECT run_id, run_type, timestamp, user_id"
         query += f" FROM {self.log_info_table}"
@@ -217,6 +232,11 @@ async def get_logs(
     ) -> list:
         if not run_ids:
             raise ValueError("No run ids provided.")
+        if not self.conn:
+            raise ValueError(
+                "Initialize the connection pool before attempting to log."
+            )
+
         cursor = await self.conn.cursor()
         placeholders = ",".join(["?" for _ in run_ids])
         query = f"""
@@ -249,6 +269,10 @@ async def get_logs(
     async def score_completion(
         self, run_id: UUID, message_id: UUID, score: float
     ):
+        if not self.conn:
+            raise ValueError(
+                "Initialize the connection pool before attempting to log."
+            )
         cursor = await self.conn.cursor()
 
         await cursor.execute(
@@ -281,6 +305,7 @@ async def score_completion(
                     f"UPDATE {self.log_table} SET value = ? WHERE run_id = ? AND key = 'completion_record'",
                     (json.dumps(completion_record), str(run_id)),
                 )
+
                 await self.conn.commit()
                 return {"message": "Score updated successfully."}
 
@@ -292,7 +317,7 @@ class PostgresLoggingConfig(LoggingConfig):
     log_table: str = "logs"
     log_info_table: str = "log_info"
 
-    def validate(self) -> None:
+    def validate_config(self) -> None:
         required_env_vars = [
             "POSTGRES_DBNAME",
             "POSTGRES_USER",
@@ -386,6 +411,11 @@ async def log(
         key: str,
         value: str,
     ):
+        if not self.pool:
+            raise ValueError(
+                "Initialize the connection pool before attempting to log."
+            )
+
         async with self.pool.acquire() as conn:
             await conn.execute(
                 f"INSERT INTO {self.log_table} (timestamp, run_id, key, value) VALUES (NOW(), $1, $2, $3)",
@@ -400,6 +430,11 @@ async def info_log(
         run_type: RunType,
         user_id: UUID,
     ):
+        if not self.pool:
+            raise ValueError(
+                "Initialize the connection pool before attempting to log."
+            )
+
         async with self.pool.acquire() as conn:
             await conn.execute(
                 f"INSERT INTO {self.log_info_table} (timestamp, run_id, run_type, user_id) VALUES (NOW(), $1, $2, $3)",
@@ -415,6 +450,11 @@ async def get_info_logs(
         run_type_filter: Optional[RunType] = None,
         user_ids: Optional[list[UUID]] = None,
     ) -> list[RunInfoLog]:
+        if not self.pool:
+            raise ValueError(
+                "Initialize the connection pool before attempting to log."
+            )
+
         query = f"SELECT run_id, run_type, timestamp, user_id FROM {self.log_info_table}"
         conditions = []
         params = []
@@ -453,6 +493,10 @@ async def get_logs(
     ) -> list:
         if not run_ids:
             raise ValueError("No run ids provided.")
+        if not self.pool:
+            raise ValueError(
+                "Initialize the connection pool before attempting to log."
+            )
 
         placeholders = ",".join([f"${i + 1}" for i in range(len(run_ids))])
         query = f"""
@@ -472,6 +516,11 @@ async def get_logs(
     async def score_completion(
         self, run_id: UUID, message_id: UUID, score: float
     ):
+        if not self.pool:
+            raise ValueError(
+                "Initialize the connection pool before attempting to log."
+            )
+
         async with self.pool.acquire() as conn:
             row = await conn.fetchrow(
                 f"SELECT value FROM {self.log_table} WHERE run_id = $1 AND key = 'completion_record'",
@@ -510,205 +559,14 @@ async def score_completion(
         return {"message": "Score not updated."}
 
 
-class RedisLoggingConfig(LoggingConfig):
-    provider: str = "redis"
-    log_table: str = "logs"
-    log_info_table: str = "log_info"
-
-    def validate(self) -> None:
-        required_env_vars = ["REDIS_CLUSTER_IP", "REDIS_CLUSTER_PORT"]
-        for var in required_env_vars:
-            if not os.getenv(var):
-                raise ValueError(f"Environment variable {var} is not set.")
-
-    @property
-    def supported_providers(self) -> list[str]:
-        return ["redis"]
-
-
-class RedisRunLoggingProvider(RunLoggingProvider):
-    def __init__(self, config: RedisLoggingConfig):
-        logger.info(
-            f"Initializing RedisRunLoggingProvider with config: {config}"
-        )
-
-        if not all(
-            [
-                os.getenv("REDIS_CLUSTER_IP"),
-                os.getenv("REDIS_CLUSTER_PORT"),
-            ]
-        ):
-            raise ValueError(
-                "Please set the environment variables REDIS_CLUSTER_IP and REDIS_CLUSTER_PORT to run `LoggingDatabaseConnection` with `redis`."
-            )
-        try:
-            from redis.asyncio import Redis
-        except ImportError:
-            raise ValueError(
-                "Error, `redis` is not installed. Please install it using `pip install redis`."
-            )
-
-        cluster_ip = os.getenv("REDIS_CLUSTER_IP")
-        port = os.getenv("REDIS_CLUSTER_PORT")
-        self.redis = Redis(host=cluster_ip, port=port, decode_responses=True)
-        self.log_key = config.log_table
-        self.log_info_key = config.log_info_table
-
-    async def __aenter__(self):
-        return self
-
-    async def __aexit__(self, exc_type, exc, tb):
-        await self.close()
-
-    async def close(self):
-        await self.redis.close()
-
-    async def log(
-        self,
-        run_id: UUID,
-        key: str,
-        value: str,
-    ):
-        timestamp = datetime.now().timestamp()
-        log_entry = {
-            "timestamp": timestamp,
-            "run_id": str(run_id),
-            "key": key,
-            "value": value,
-        }
-        await self.redis.lpush(
-            f"{self.log_key}:{str(run_id)}", json.dumps(log_entry)
-        )
-
-    async def info_log(
-        self,
-        run_id: UUID,
-        run_type: RunType,
-        user_id: UUID,
-    ):
-        timestamp = datetime.now().timestamp()
-        log_entry = {
-            "timestamp": timestamp,
-            "run_id": str(run_id),
-            "run_type": run_type,
-            "user_id": str(user_id),
-        }
-        await self.redis.hset(
-            self.log_info_key, str(run_id), json.dumps(log_entry)
-        )
-        await self.redis.zadd(
-            f"{self.log_info_key}_sorted", {str(run_id): timestamp}
-        )
-
-    async def get_info_logs(
-        self,
-        offset: int = 0,
-        limit: int = 100,
-        run_type_filter: Optional[RunType] = None,
-        user_ids: Optional[list[UUID]] = None,
-    ) -> list[RunInfoLog]:
-        run_info_list = []
-        start = offset
-        count_per_batch = 100  # Adjust batch size as needed
-
-        while len(run_info_list) < limit:
-            run_ids = await self.redis.zrevrange(
-                f"{self.log_info_key}_sorted",
-                start,
-                start + count_per_batch - 1,
-            )
-            if not run_ids:
-                break  # No more log IDs to process
-
-            start += count_per_batch
-
-            for run_id in run_ids:
-                log_entry = json.loads(
-                    await self.redis.hget(self.log_info_key, run_id)
-                )
-
-                # Check if the log entry matches the filters
-                if (
-                    run_type_filter is None
-                    or log_entry["run_type"] == run_type_filter
-                ) and (
-                    user_ids is None or UUID(log_entry["user_id"]) in user_ids
-                ):
-                    run_info_list.append(
-                        RunInfoLog(
-                            run_id=UUID(log_entry["run_id"]),
-                            run_type=log_entry["run_type"],
-                            timestamp=datetime.fromtimestamp(
-                                log_entry["timestamp"]
-                            ),
-                            user_id=UUID(log_entry["user_id"]),
-                        )
-                    )
-
-                if len(run_info_list) >= limit:
-                    break
-
-        return run_info_list[:limit]
-
-    async def get_logs(
-        self, run_ids: list[UUID], limit_per_run: int = 10
-    ) -> list:
-        logs = []
-        for run_id in run_ids:
-            raw_logs = await self.redis.lrange(
-                f"{self.log_key}:{str(run_id)}", 0, limit_per_run - 1
-            )
-            for raw_log in raw_logs:
-                json_log = json.loads(raw_log)
-                json_log["run_id"] = UUID(json_log["run_id"])
-                logs.append(json_log)
-        return logs
-
-    async def score_completion(
-        self, run_id: UUID, message_id: UUID, score: float
-    ):
-        log_key = f"{self.log_key}:{str(run_id)}"
-        logs = await self.redis.lrange(log_key, 0, -1)
-
-        for i, log_entry in enumerate(logs):
-            log_data = json.loads(log_entry)
-            if log_data.get("key") == "completion_record":
-                completion_record = json.loads(log_data["value"])
-
-                if completion_record.get("message_id") == str(message_id):
-                    if (
-                        "score" not in completion_record
-                        or completion_record["score"] is None
-                    ):
-                        completion_record["score"] = [score]
-                    elif isinstance(completion_record["score"], list):
-                        completion_record["score"] = [
-                            x
-                            for x in completion_record["score"]
-                            if x is not None
-                        ]
-                        completion_record["score"].append(score)
-                    else:
-                        completion_record["score"] = [
-                            completion_record["score"],
-                            score,
-                        ]
-
-                    log_data["value"] = json.dumps(completion_record)
-                    await self.redis.lset(log_key, i, json.dumps(log_data))
-                    return {"message": "Score updated successfully."}
-
-        return {"message": "Score not updated."}
-
-
 class RunLoggingSingleton:
     _instance = None
     _is_configured = False
+    _config: Optional[LoggingConfig] = None
 
     SUPPORTED_PROVIDERS = {
         "local": LocalRunLoggingProvider,
         "postgres": PostgresRunLoggingProvider,
-        "redis": RedisRunLoggingProvider,
     }
 
     @classmethod
@@ -716,9 +574,7 @@ def get_instance(cls):
         return cls.SUPPORTED_PROVIDERS[cls._config.provider](cls._config)
 
     @classmethod
-    def configure(
-        cls, logging_config: Optional[LoggingConfig] = LoggingConfig()
-    ):
+    def configure(cls, logging_config: LoggingConfig = LoggingConfig()):
         if not cls._is_configured:
             cls._config = logging_config
             cls._is_configured = True
diff --git a/py/core/base/logging/run_manager.py b/py/core/base/logging/run_manager.py
index d5b4adc3e..daa1de925 100644
--- a/py/core/base/logging/run_manager.py
+++ b/py/core/base/logging/run_manager.py
@@ -4,19 +4,19 @@
 from typing import Optional
 from uuid import UUID
 
-from core.base.api.models.auth.responses import UserResponse
+from core.base.api.models import UserResponse
 from core.base.logging.base import RunType
 from core.base.utils import generate_run_id
 
 from .run_logger import RunLoggingSingleton
 
-run_id_var = contextvars.ContextVar("run_id", default=None)
+run_id_var = contextvars.ContextVar("run_id", default=generate_run_id())
 
 
 class RunManager:
     def __init__(self, logger: RunLoggingSingleton):
         self.logger = logger
-        self.run_info = {}
+        self.run_info: dict[UUID, dict] = {}
 
     async def set_run_info(self, run_type: str, run_id: Optional[UUID] = None):
         run_id = run_id or run_id_var.get()
@@ -71,4 +71,4 @@ async def manage_run(
             run_id_var.reset(token)
         else:
             # We're in a test environment, just reset the run_id_var
-            run_id_var.set(None)
+            run_id_var.set(None)  # type: ignore
diff --git a/py/core/base/parsers/base_parser.py b/py/core/base/parsers/base_parser.py
index f1bb49d7f..f2d7cd02c 100644
--- a/py/core/base/parsers/base_parser.py
+++ b/py/core/base/parsers/base_parser.py
@@ -3,7 +3,7 @@
 from abc import ABC, abstractmethod
 from typing import AsyncGenerator, Generic, TypeVar
 
-from ..abstractions.document import DataType
+from ..abstractions import DataType
 
 T = TypeVar("T")
 
diff --git a/py/core/base/pipeline/base_pipeline.py b/py/core/base/pipeline/base_pipeline.py
index 3bae02015..0414ef90f 100644
--- a/py/core/base/pipeline/base_pipeline.py
+++ b/py/core/base/pipeline/base_pipeline.py
@@ -24,7 +24,7 @@ def __init__(
         self.upstream_outputs: list[list[dict[str, str]]] = []
         self.pipe_logger = pipe_logger or RunLoggingSingleton()
         self.run_manager = run_manager or RunManager(self.pipe_logger)
-        self.futures = {}
+        self.futures: dict[str, asyncio.Future] = {}
         self.level = 0
 
     def add_pipe(
@@ -51,7 +51,6 @@ async def run(
     ):
         """Run the pipeline."""
         run_manager = run_manager or self.run_manager
-
         self.state = state or AsyncState()
         current_input = input
         async with manage_run(run_manager):
@@ -108,7 +107,7 @@ async def _run_pipe(
         input_dict = {"message": input}
 
         # Collection upstream outputs by prev_pipe_name
-        grouped_upstream_outputs = {}
+        grouped_upstream_outputs: dict[str, list] = {}
         for upstream_input in add_upstream_outputs:
             upstream_pipe_name = upstream_input["prev_pipe_name"]
             if upstream_pipe_name not in grouped_upstream_outputs:
@@ -147,7 +146,6 @@ async def replay_items_as_async_gen(items):
                 input_dict[upstream_input["input_field"]] = outputs[
                     prev_output_field
                 ]
-
         async for ele in await pipe.run(
             pipe.Input(**input_dict),
             self.state,
diff --git a/py/core/base/pipes/base_pipe.py b/py/core/base/pipes/base_pipe.py
index 40cd58e20..f59f8a9b2 100644
--- a/py/core/base/pipes/base_pipe.py
+++ b/py/core/base/pipes/base_pipe.py
@@ -2,11 +2,12 @@
 import logging
 from abc import abstractmethod
 from enum import Enum
-from typing import Any, AsyncGenerator, Optional
+from typing import Any, AsyncGenerator, Generic, Optional, TypeVar
 from uuid import UUID
 
 from pydantic import BaseModel
 
+from core.base.logging import RunType
 from core.base.logging.run_logger import RunLoggingSingleton
 from core.base.logging.run_manager import RunManager, manage_run
 
@@ -62,7 +63,10 @@ async def delete(self, outer_key: str, inner_key: Optional[str] = None):
                 del self.data[outer_key][inner_key]
 
 
-class AsyncPipe:
+T = TypeVar("T")
+
+
+class AsyncPipe(Generic[T]):
     """An asynchronous pipe for processing data with logging capabilities."""
 
     class PipeConfig(BaseModel):
@@ -86,15 +90,15 @@ class Config:
 
     def __init__(
         self,
+        config: PipeConfig,
         type: PipeType = PipeType.OTHER,
-        config: Optional[PipeConfig] = None,
         pipe_logger: Optional[RunLoggingSingleton] = None,
         run_manager: Optional[RunManager] = None,
     ):
         self._config = config or self.PipeConfig()
         self._type = type
         self.pipe_logger = pipe_logger or RunLoggingSingleton()
-        self.log_queue = asyncio.Queue()
+        self.log_queue: asyncio.Queue = asyncio.Queue()
         self.log_worker_task = None
         self._run_manager = run_manager or RunManager(self.pipe_logger)
 
@@ -124,23 +128,24 @@ async def enqueue_log(self, run_id: UUID, key: str, value: str):
     async def run(
         self,
         input: Input,
-        state: Optional[AsyncState] = None,
+        state: Optional[AsyncState],
         run_manager: Optional[RunManager] = None,
         *args: Any,
         **kwargs: Any,
-    ) -> AsyncGenerator[Any, None]:
+    ) -> AsyncGenerator[T, None]:
         """Run the pipe with logging capabilities."""
 
         run_manager = run_manager or self._run_manager
+        state = state or AsyncState()
 
         async def wrapped_run() -> AsyncGenerator[Any, None]:
-            async with manage_run(run_manager, self.config.name) as run_id:
-                self.log_worker_task = asyncio.create_task(
+            async with manage_run(run_manager, RunType.UNSPECIFIED) as run_id:
+                self.log_worker_task = asyncio.create_task(  # type: ignore
                     self.log_worker(), name=f"log-worker-{self.config.name}"
                 )
                 try:
-                    async for result in self._run_logic(
-                        input, state=state, run_id=run_id, *args, **kwargs
+                    async for result in self._run_logic(  # type: ignore
+                        input, state, run_id, *args, **kwargs
                     ):
                         yield result
                 finally:
@@ -166,8 +171,9 @@ async def wrapped_run() -> AsyncGenerator[Any, None]:
     async def _run_logic(
         self,
         input: Input,
+        state: AsyncState,
         run_id: UUID,
         *args: Any,
         **kwargs: Any,
-    ) -> AsyncGenerator[Any, None]:
+    ) -> AsyncGenerator[T, None]:
         pass
diff --git a/py/core/base/providers/auth.py b/py/core/base/providers/auth.py
index 4e00c7ff8..df43ac0b3 100644
--- a/py/core/base/providers/auth.py
+++ b/py/core/base/providers/auth.py
@@ -5,35 +5,36 @@
 from fastapi import Security
 from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
 
+from ...utils import generate_id_from_label
 from ..abstractions import R2RException, Token, TokenData
 from ..api.models import UserResponse
-from ..utils import generate_id_from_label
 from .base import Provider, ProviderConfig
+from .crypto import CryptoProvider
 
 logger = logging.getLogger(__name__)
 
 
 class AuthConfig(ProviderConfig):
     secret_key: Optional[str] = None
-    require_authentication: Optional[bool] = False
-    require_email_verification: Optional[bool] = False
+    require_authentication: bool = False
+    require_email_verification: bool = False
+    default_admin_email: str = "admin@example.com"
+    default_admin_password: str = "change_me_immediately"
     access_token_lifetime_in_minutes: Optional[int] = None
     refresh_token_lifetime_in_days: Optional[int] = None
-    default_admin_email: Optional[str] = "admin@example.com"
-    default_admin_password: Optional[str] = "change_me_immediately"
 
     @property
     def supported_providers(self) -> list[str]:
         return ["r2r"]
 
-    def validate(self) -> None:
-        super().validate()
+    def validate_config(self) -> None:
+        pass
 
 
 class AuthProvider(Provider, ABC):
     security = HTTPBearer(auto_error=False)
 
-    def __init__(self, config: AuthConfig):
+    def __init__(self, config: AuthConfig, crypto_provider: CryptoProvider):
         if not isinstance(config, AuthConfig):
             raise ValueError(
                 "AuthProvider must be initialized with an AuthConfig"
@@ -41,7 +42,9 @@ def __init__(self, config: AuthConfig):
         self.config = config
         self.admin_email = config.default_admin_email
         self.admin_password = config.default_admin_password
+        self.crypto_provider = crypto_provider
         super().__init__(config)
+        self.config: AuthConfig = config  # for type hinting
 
     def _get_default_admin_user(self) -> UserResponse:
         return UserResponse(
@@ -64,11 +67,11 @@ def create_refresh_token(self, data: dict) -> str:
         pass
 
     @abstractmethod
-    def decode_token(self, token: str) -> TokenData:
+    async def decode_token(self, token: str) -> TokenData:
         pass
 
     @abstractmethod
-    def user(self, token: str) -> UserResponse:
+    async def user(self, token: str) -> UserResponse:
         pass
 
     @abstractmethod
@@ -78,21 +81,23 @@ def get_current_active_user(
         pass
 
     @abstractmethod
-    def register(self, email: str, password: str) -> dict[str, str]:
+    async def register(self, email: str, password: str) -> dict[str, str]:
         pass
 
     @abstractmethod
-    def verify_email(
+    async def verify_email(
         self, email: str, verification_code: str
     ) -> dict[str, str]:
         pass
 
     @abstractmethod
-    def login(self, email: str, password: str) -> dict[str, Token]:
+    async def login(self, email: str, password: str) -> dict[str, Token]:
         pass
 
     @abstractmethod
-    def refresh_access_token(self, refresh_token: str) -> dict[str, str]:
+    async def refresh_access_token(
+        self, refresh_token: str
+    ) -> dict[str, Token]:
         pass
 
     async def auth_wrapper(
@@ -114,3 +119,23 @@ async def auth_wrapper(
                 message=f"Error '{e}' occurred during authentication.",
                 status_code=401,
             )
+
+    @abstractmethod
+    async def change_password(
+        self, user: UserResponse, current_password: str, new_password: str
+    ) -> dict[str, str]:
+        pass
+
+    @abstractmethod
+    async def request_password_reset(self, email: str) -> dict[str, str]:
+        pass
+
+    @abstractmethod
+    async def confirm_password_reset(
+        self, reset_token: str, new_password: str
+    ) -> dict[str, str]:
+        pass
+
+    @abstractmethod
+    async def logout(self, token: str) -> dict[str, str]:
+        pass
diff --git a/py/core/base/providers/base.py b/py/core/base/providers/base.py
index d907b01e2..30f6211cd 100644
--- a/py/core/base/providers/base.py
+++ b/py/core/base/providers/base.py
@@ -15,7 +15,7 @@ class Config:
         ignore_extra = True
 
     @abstractmethod
-    def validate(self) -> None:
+    def validate_config(self) -> None:
         pass
 
     @classmethod
@@ -38,13 +38,18 @@ def supported_providers(self) -> list[str]:
         """Define a list of supported providers."""
         pass
 
+    @classmethod
+    def from_dict(
+        cls: Type["ProviderConfig"], data: dict[str, Any]
+    ) -> "ProviderConfig":
+        """Create a new instance of the config from a dictionary."""
+        return cls.create(**data)
+
 
 class Provider(ABC):
     """A base provider class to provide a common interface for all providers."""
 
-    def __init__(
-        self, config: Optional[ProviderConfig] = None, *args, **kwargs
-    ):
+    def __init__(self, config: ProviderConfig, *args, **kwargs):
         if config:
-            config.validate()
+            config.validate_config()
         self.config = config
diff --git a/py/core/base/providers/chunking.py b/py/core/base/providers/chunking.py
index cf28f70a4..231b14e4f 100644
--- a/py/core/base/providers/chunking.py
+++ b/py/core/base/providers/chunking.py
@@ -3,7 +3,7 @@
 from enum import Enum
 from typing import AsyncGenerator, Optional, Union
 
-from ..abstractions.document import DocumentExtraction
+from ..abstractions import DocumentExtraction
 from .base import Provider, ProviderConfig
 
 logger = logging.getLogger(__name__)
@@ -21,13 +21,13 @@ class Strategy(str, Enum):
 class ChunkingConfig(ProviderConfig):
     provider: str = "unstructured_local"
 
-    def validate(self) -> None:
+    def validate_config(self) -> None:
         if self.provider not in self.supported_providers:
             raise ValueError(f"Provider {self.provider} is not supported.")
 
     @property
     def supported_providers(self) -> list[str]:
-        return ["r2r", "unstructured_local", "unstructured_api", None]
+        return ["r2r", "unstructured_local", "unstructured_api"]
 
     class Config:
         json_schema_extra = {
@@ -47,14 +47,14 @@ class Config:
         }
 
 
-class R2RChunkingConfig(ProviderConfig):
+class R2RChunkingConfig(ChunkingConfig):
     provider: str = "r2r"
     method: Strategy = Strategy.RECURSIVE
     chunk_size: int = 512
     chunk_overlap: int = 20
     max_chunk_size: Optional[int] = None
 
-    def validate(self) -> None:
+    def validate_config(self) -> None:
         if self.provider not in self.supported_providers:
             raise ValueError(f"Provider {self.provider} is not supported.")
         if self.chunk_size <= 0:
@@ -64,7 +64,7 @@ def validate(self) -> None:
 
     @property
     def supported_providers(self) -> list[str]:
-        return ["r2r", "unstructured_local", "unstructured_api", None]
+        return ["r2r", "unstructured_local", "unstructured_api"]
 
     class Config:
         json_schema_extra = {
@@ -119,8 +119,8 @@ class UnstructuredChunkingConfig(ChunkingConfig):
     unique_element_ids: bool = False
     xml_keep_tags: bool = False
 
-    def validate(self) -> None:
-        super().validate()
+    def validate_config(self) -> None:
+        super().validate_config()
         if self.strategy not in ["auto", "fast", "hi_res"]:
             raise ValueError("strategy must be 'auto', 'fast', or 'hi_res'")
 
@@ -136,3 +136,53 @@ async def chunk(
     ) -> AsyncGenerator[str, None]:
         """Chunk the parsed document using the configured chunking strategy."""
         pass
+
+    multipage_sections: bool = True
+    new_after_n_chars: Optional[int] = 1500
+    ocr_languages: Optional[list[str]] = None
+    output_format: str = "application/json"
+    overlap: int = 0
+    overlap_all: bool = False
+    pdf_infer_table_structure: bool = True
+
+    similarity_threshold: Optional[float] = None
+    skip_infer_table_types: Optional[list[str]] = None
+    split_pdf_concurrency_level: int = 5
+    split_pdf_page: bool = True
+    starting_page_number: Optional[int] = None
+    strategy: str = "auto"
+    chunking_strategy: Strategy = Strategy.BY_TITLE
+    unique_element_ids: bool = False
+    xml_keep_tags: bool = False
+
+    def validate_config(self) -> None:
+        if self.strategy not in ["auto", "fast", "hi_res"]:
+            raise ValueError("strategy must be 'auto', 'fast', or 'hi_res'")
+
+
+__all__ = [
+    "GenerationConfig",
+    "KGSearchSettings",
+    "MessageType",
+    "Message",
+    "ChunkingConfig",
+    "KGSearchResultType",
+    "KGSearchMethod",
+    "KGEntityResult",
+    "KGRelationshipResult",
+    "KGCommunityResult",
+    "KGGlobalResult",
+    "KGSearchResult",
+    "R2RException",
+    "Token",
+    "HybridSearchSettings",
+    "VectorSearchSettings",
+    "KGCreationSettings",
+    "KGEnrichmentSettings",
+    "KGCreationResponse",
+    "KGEnrichmentResponse",
+    "UserResponse",
+    "VectorSearchResult",
+    "SearchResponse",
+    "RAGResponse",
+]
diff --git a/py/core/base/providers/crypto.py b/py/core/base/providers/crypto.py
index debe7b082..b1e8d3118 100644
--- a/py/core/base/providers/crypto.py
+++ b/py/core/base/providers/crypto.py
@@ -9,10 +9,9 @@ class CryptoConfig(ProviderConfig):
 
     @property
     def supported_providers(self) -> list[str]:
-        return [None, "bcrypt"]  # Add other crypto providers as needed
+        return ["bcrypt"]  # Add other crypto providers as needed
 
-    def validate(self) -> None:
-        super().validate()
+    def validate_config(self) -> None:
         if self.provider not in self.supported_providers:
             raise ValueError(f"Unsupported crypto provider: {self.provider}")
 
diff --git a/py/core/base/providers/database.py b/py/core/base/providers/database.py
index 2ec9348da..8f167a11b 100644
--- a/py/core/base/providers/database.py
+++ b/py/core/base/providers/database.py
@@ -1,6 +1,6 @@
 import logging
 from abc import ABC, abstractmethod
-from typing import Optional
+from typing import Any, Optional
 
 from .base import Provider, ProviderConfig
 
@@ -17,20 +17,21 @@ class DatabaseConfig(ProviderConfig):
     port: Optional[int] = None
     db_name: Optional[str] = None
     vecs_collection: Optional[str] = None
+    project_name: Optional[str] = None
 
     def __post_init__(self):
-        self.validate()
+        self.validate_config()
         # Capture additional fields
         for key, value in self.extra_fields.items():
             setattr(self, key, value)
 
-    def validate(self) -> None:
+    def validate_config(self) -> None:
         if self.provider not in self.supported_providers:
             raise ValueError(f"Provider '{self.provider}' is not supported.")
 
     @property
     def supported_providers(self) -> list[str]:
-        return ["postgres", None]
+        return ["postgres"]
 
 
 class VectorDBProvider(Provider, ABC):
@@ -41,12 +42,11 @@ def _initialize_vector_db(self, dimension: int) -> None:
 
 class RelationalDBProvider(Provider, ABC):
     @abstractmethod
-    def _initialize_relational_db(self) -> None:
+    async def _initialize_relational_db(self) -> None:
         pass
 
 
 class DatabaseProvider(Provider):
-
     def __init__(self, config: DatabaseConfig):
         if not isinstance(config, DatabaseConfig):
             raise ValueError(
@@ -54,15 +54,15 @@ def __init__(self, config: DatabaseConfig):
             )
         logger.info(f"Initializing DatabaseProvider with config {config}.")
         super().__init__(config)
-        self.vector: VectorDBProvider = self._initialize_vector_db()
-        self.relational: RelationalDBProvider = (
-            self._initialize_relational_db()
-        )
+
+        # remove later to re-introduce typing...
+        self.vector: Any = None
+        self.relational: Any = None
 
     @abstractmethod
     def _initialize_vector_db(self) -> VectorDBProvider:
         pass
 
     @abstractmethod
-    def _initialize_relational_db(self) -> RelationalDBProvider:
+    async def _initialize_relational_db(self) -> RelationalDBProvider:
         pass
diff --git a/py/core/base/providers/embedding.py b/py/core/base/providers/embedding.py
index 25725914d..c08bd4720 100644
--- a/py/core/base/providers/embedding.py
+++ b/py/core/base/providers/embedding.py
@@ -5,17 +5,20 @@
 from enum import Enum
 from typing import Any, Optional
 
-from ..abstractions import EmbeddingPurpose, default_embedding_prefixes
-from ..abstractions.search import VectorSearchResult
+from ..abstractions import (
+    EmbeddingPurpose,
+    VectorSearchResult,
+    default_embedding_prefixes,
+)
 from .base import Provider, ProviderConfig
 
 logger = logging.getLogger(__name__)
 
 
 class EmbeddingConfig(ProviderConfig):
-    provider: Optional[str] = None
-    base_model: Optional[str] = None
-    base_dimension: Optional[int] = None
+    provider: str
+    base_model: str
+    base_dimension: int
     rerank_model: Optional[str] = None
     rerank_dimension: Optional[int] = None
     rerank_transformer_type: Optional[str] = None
@@ -27,13 +30,13 @@ class EmbeddingConfig(ProviderConfig):
     initial_backoff: float = 1.0
     max_backoff: float = 60.0
 
-    def validate(self) -> None:
+    def validate_config(self) -> None:
         if self.provider not in self.supported_providers:
             raise ValueError(f"Provider '{self.provider}' is not supported.")
 
     @property
     def supported_providers(self) -> list[str]:
-        return [None, "litellm", "openai", "ollama"]
+        return ["litellm", "openai", "ollama"]
 
 
 class EmbeddingProvider(Provider):
@@ -156,12 +159,6 @@ def rerank(
     ):
         pass
 
-    @abstractmethod
-    def tokenize_string(
-        self, text: str, model: str, stage: PipeStage
-    ) -> list[int]:
-        pass
-
     def set_prefixes(self, config_prefixes: dict[str, str], base_model: str):
         self.prefixes = {}
 
diff --git a/py/core/base/providers/file.py b/py/core/base/providers/file.py
index 288fd981e..1bb6915e8 100644
--- a/py/core/base/providers/file.py
+++ b/py/core/base/providers/file.py
@@ -7,18 +7,18 @@
 
 
 class FileConfig(ProviderConfig):
-    def validate(self) -> None:
+    def validate_config(self) -> None:
         if self.provider not in self.supported_providers:
             raise ValueError(f"Provider '{self.provider}' is not supported.")
 
     @property
     def supported_providers(self) -> list[str]:
-        return ["postgres", None]
+        return ["postgres"]
 
 
 class FileProvider(Provider, ABC):
     @abstractmethod
-    def store_file(
+    async def store_file(
         self,
         document_id: UUID,
         file_name: str,
@@ -28,17 +28,17 @@ def store_file(
         pass
 
     @abstractmethod
-    def retrieve_file(
+    async def retrieve_file(
         self, document_id: UUID
     ) -> Optional[tuple[str, BinaryIO, int]]:
         pass
 
     @abstractmethod
-    def delete_file(self, document_id: UUID) -> bool:
+    async def delete_file(self, document_id: UUID) -> bool:
         pass
 
     @abstractmethod
-    def get_files_overview(
+    async def get_files_overview(
         self,
         filter_document_ids: Optional[list[UUID]] = None,
         filter_file_names: Optional[list[str]] = None,
diff --git a/py/core/base/providers/kg.py b/py/core/base/providers/kg.py
index ef7f5bbab..a52a367c8 100644
--- a/py/core/base/providers/kg.py
+++ b/py/core/base/providers/kg.py
@@ -4,10 +4,16 @@
 from abc import ABC, abstractmethod
 from typing import Any, Optional, Tuple
 
-from ...base.utils.base_utils import RelationshipType
-from ..abstractions.graph import Entity, KGExtraction, Triple
-from ..abstractions.llm import GenerationConfig
-from ..abstractions.restructure import KGCreationSettings, KGEnrichmentSettings
+from ..abstractions import (
+    Entity,
+    GenerationConfig,
+    KGCreationSettings,
+    KGEnrichmentSettings,
+    KGExtraction,
+    KGSearchSettings,
+    RelationshipType,
+    Triple,
+)
 from .base import ProviderConfig
 
 logger = logging.getLogger(__name__)
@@ -23,22 +29,18 @@ class KGConfig(ProviderConfig):
     database: Optional[str] = None
 
     batch_size: Optional[int] = 1
-    kg_extraction_prompt: Optional[str] = "few_shot_ner_kg_extraction"
-    kg_search_prompt: Optional[str] = "kg_search"
-    kg_search_config: Optional[GenerationConfig] = None
     kg_store_path: Optional[str] = None
-    kg_enrichment_settings: Optional[KGEnrichmentSettings] = (
-        KGEnrichmentSettings()
-    )
-    kg_creation_settings: Optional[KGCreationSettings] = KGCreationSettings()
+    kg_enrichment_settings: KGEnrichmentSettings = KGEnrichmentSettings()
+    kg_creation_settings: KGCreationSettings = KGCreationSettings()
+    kg_search_settings: KGSearchSettings = KGSearchSettings()
 
-    def validate(self) -> None:
+    def validate_config(self) -> None:
         if self.provider not in self.supported_providers:
             raise ValueError(f"Provider '{self.provider}' is not supported.")
 
     @property
     def supported_providers(self) -> list[str]:
-        return [None, "neo4j", "local"]
+        return ["neo4j", "local"]
 
 
 class KGProvider(ABC):
@@ -54,7 +56,7 @@ def __init__(self, config: KGConfig) -> None:
         self.validate_config()
 
     def validate_config(self) -> None:
-        self.config.validate()
+        self.config.validate_config()
 
     @property
     @abstractmethod
diff --git a/py/core/base/providers/llm.py b/py/core/base/providers/llm.py
index bcec66cd7..65445bc53 100644
--- a/py/core/base/providers/llm.py
+++ b/py/core/base/providers/llm.py
@@ -5,7 +5,7 @@
 from concurrent.futures import ThreadPoolExecutor
 from typing import Any, AsyncGenerator, Generator, Optional
 
-from core.base.abstractions.llm import (
+from core.base.abstractions import (
     GenerationConfig,
     LLMChatCompletion,
     LLMChatCompletionChunk,
@@ -24,7 +24,7 @@ class CompletionConfig(ProviderConfig):
     initial_backoff: float = 1.0
     max_backoff: float = 60.0
 
-    def validate(self) -> None:
+    def validate_config(self) -> None:
         if not self.provider:
             raise ValueError("Provider must be set.")
         if self.provider not in self.supported_providers:
diff --git a/py/core/base/providers/orchestration.py b/py/core/base/providers/orchestration.py
index 48a22eabc..a676bf650 100644
--- a/py/core/base/providers/orchestration.py
+++ b/py/core/base/providers/orchestration.py
@@ -8,7 +8,7 @@ class OrchestrationConfig(ProviderConfig):
     provider: str
     max_threads: int = 256
 
-    def validate(self) -> None:
+    def validate_config(self) -> None:
         if self.provider not in self.supported_providers:
             raise ValueError(f"Provider {self.provider} is not supported.")
 
diff --git a/py/core/base/providers/parsing.py b/py/core/base/providers/parsing.py
index 61d58201d..4b18bc619 100644
--- a/py/core/base/providers/parsing.py
+++ b/py/core/base/providers/parsing.py
@@ -3,7 +3,7 @@
 
 from pydantic import BaseModel, Field
 
-from ..abstractions.document import Document, DocumentType
+from ..abstractions import Document, DocumentType
 from .base import Provider, ProviderConfig
 from .chunking import ChunkingConfig
 
@@ -21,9 +21,9 @@ class ParsingConfig(ProviderConfig):
 
     @property
     def supported_providers(self) -> list[str]:
-        return ["r2r", "unstructured_local", "unstructured_api", None]
+        return ["r2r", "unstructured_local", "unstructured_api"]
 
-    def validate(self) -> None:
+    def validate_config(self) -> None:
         if self.provider not in self.supported_providers:
             raise ValueError(f"Provider {self.provider} is not supported.")
 
diff --git a/py/core/base/providers/prompt.py b/py/core/base/providers/prompt.py
index 06be0efd0..f2104a99f 100644
--- a/py/core/base/providers/prompt.py
+++ b/py/core/base/providers/prompt.py
@@ -3,19 +3,21 @@
 from pathlib import Path
 from typing import Any, Optional
 
+from core.base.abstractions import Prompt
+
 from .base import Provider, ProviderConfig
 
 logger = logging.getLogger(__name__)
 
 
 class PromptConfig(ProviderConfig):
-    default_system_name: Optional[str] = "default_system"
-    default_task_name: Optional[str] = "default_rag"
+    default_system_name: str = "default_system"
+    default_task_name: str = "default_rag"
 
     # TODO - Replace this with a database
     file_path: Optional[Path] = None
 
-    def validate(self) -> None:
+    def validate_config(self) -> None:
         pass
 
     @property
@@ -25,34 +27,32 @@ def supported_providers(self) -> list[str]:
 
 
 class PromptProvider(Provider):
-    def __init__(self, config: Optional[PromptConfig] = None):
-        if config is None:
-            config = PromptConfig()
-        elif not isinstance(config, PromptConfig):
-            raise ValueError(
-                "PromptProvider must be initialized with a `PromptConfig`."
-            )
+    def __init__(self, config: PromptConfig):
         logger.info(f"Initializing PromptProvider with config {config}.")
         super().__init__(config)
+        self.config: PromptConfig = config
 
     @abstractmethod
-    def add_prompt(
+    async def add_prompt(
         self, name: str, template: str, input_types: dict[str, str]
     ) -> None:
         pass
 
     @abstractmethod
     def get_prompt(
-        self, prompt_name: str, inputs: Optional[dict[str, Any]] = None
+        self,
+        prompt_name: str,
+        inputs: Optional[dict[str, Any]] = None,
+        prompt_override: Optional[str] = None,
     ) -> str:
         pass
 
     @abstractmethod
-    def get_all_prompts(self) -> dict[str, str]:
+    def get_all_prompts(self) -> dict[str, Prompt]:
         pass
 
     @abstractmethod
-    def update_prompt(
+    async def update_prompt(
         self,
         name: str,
         template: Optional[str] = None,
@@ -60,6 +60,10 @@ def update_prompt(
     ) -> None:
         pass
 
+    @abstractmethod
+    async def delete_prompt(self, name: str) -> None:
+        pass
+
     def _get_message_payload(
         self,
         system_prompt_name: Optional[str] = None,
@@ -70,7 +74,7 @@ def _get_message_payload(
         task_role: str = "user",
         task_inputs: dict = {},
         task_prompt_override: Optional[str] = None,
-    ) -> dict:
+    ) -> list[dict]:
         system_prompt = system_prompt_override or self.get_prompt(
             system_prompt_name or self.config.default_system_name,
             system_inputs,
diff --git a/py/core/base/utils/__init__.py b/py/core/base/utils/__init__.py
index bae809ee0..5ebe8efd2 100644
--- a/py/core/base/utils/__init__.py
+++ b/py/core/base/utils/__init__.py
@@ -1,4 +1,6 @@
-from .base_utils import (
+from shared.utils import (
+    RecursiveCharacterTextSplitter,
+    TextSplitter,
     decrement_version,
     format_entity_types,
     format_relations,
@@ -11,7 +13,6 @@
     run_pipeline,
     to_async_generator,
 )
-from .splitter.text import RecursiveCharacterTextSplitter, TextSplitter
 
 __all__ = [
     "format_entity_types",
diff --git a/py/core/configs/local_llm.toml b/py/core/configs/local_llm.toml
index 532e3f1bd..c268ff468 100644
--- a/py/core/configs/local_llm.toml
+++ b/py/core/configs/local_llm.toml
@@ -1,3 +1,10 @@
+[agent]
+system_instruction_name = "rag_agent"
+tool_names = ["search"]
+
+  [agent.generation_config]
+  model = "ollama/llama3.1"
+
 [completion]
 provider = "litellm"
 concurrent_request_limit = 1
@@ -21,12 +28,31 @@ batch_size = 128
 add_title_as_prefix = true
 concurrent_request_limit = 2
 
-[parsing]
-excluded_parsers = [ "gif", "jpeg", "jpg", "png", "svg", "mp3", "mp4" ]
 
-[agent]
-system_instruction_name = "rag_agent"
-tool_names = ["search"]
+[kg]
+provider = "neo4j" # set this to "None" if you don't want to use a knowledge graph
+batch_size = 256
 
-  [agent.generation_config]
-  model = "ollama/llama3.1"
+  [kg.kg_creation_settings]
+    kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
+    entity_types = [] # if empty, all entities are extracted
+    relation_types = [] # if empty, all relations are extracted
+    fragment_merge_count = 4 # number of fragments to merge into a single extraction
+    max_knowledge_triples = 100
+    generation_config = { model = "ollama/llama3.1" } # and other params, model used for triplet extraction
+
+  [kg.kg_enrichment_settings]
+    community_reports_prompt = "graphrag_community_reports_prompt"
+    max_description_input_length = 8192
+    max_summary_input_length = 65536
+    generation_config = { model = "ollama/llama3.1" } # and other params, model used for node description and graph clustering
+    leiden_params = { max_levels = 10 } # more params in https://neo4j.com/docs/graph-data-science/current/algorithms/leiden/
+
+  [kg.kg_search_settings]
+    map_system_prompt = "graphrag_map_system_prompt"
+    reduce_system_prompt = "graphrag_reduce_system_prompt"
+    generation_config = { model = "ollama/llama3.1" }
+
+[parsing]
+provider = "unstructured_local"
+excluded_parsers = [ "gif", "jpeg", "jpg", "png", "svg", "mp3", "mp4" ]
diff --git a/py/core/configs/local_llm_neo4j_kg.toml b/py/core/configs/local_llm_neo4j_kg.toml
deleted file mode 100644
index 8305d1a0d..000000000
--- a/py/core/configs/local_llm_neo4j_kg.toml
+++ /dev/null
@@ -1,62 +0,0 @@
-[chunking]
-provider = "unstructured_local"
-strategy = "auto"
-chunking_strategy = "basic"
-new_after_n_chars = 2_048
-max_characters = 4_096 # use larger max_characters for KG construction
-combine_under_n_chars = 512
-overlap = 20
-
-[completion]
-provider = "litellm"
-concurrent_request_limit = 1
-
-  [completion.generation_config]
-  model = "ollama/llama3.1"
-  temperature = 0.1
-  top_p = 1
-  max_tokens_to_sample = 1_024
-  stream = false
-  add_generation_kwargs = {}
-
-[embedding]
-provider = "ollama"
-base_model = "mxbai-embed-large"
-base_dimension = 1_024
-batch_size = 32
-add_title_as_prefix = true
-concurrent_request_limit = 2
-
-[parsing]
-excluded_parsers = [ "gif", "jpeg", "jpg", "png", "svg", "mp3", "mp4" ]
-
-[kg]
-provider = "neo4j"
-batch_size = 256
-kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
-
-  [kg.kg_creation_settings]
-    entity_types = [] # if empty, all entities are extracted
-    relation_types = [] # if empty, all relations are extracted
-    fragment_merge_count = 4 # number of fragments to merge into a single extraction
-    max_knowledge_triples = 100
-    generation_config = { model = "ollama/llama3.1" } # and other params, model used for triplet extraction
-
-  [kg.kg_enrichment_settings]
-    max_description_input_length = 8192
-    max_summary_input_length = 65536
-    generation_config = { model = "ollama/llama3.1" } # and other params, model used for node description and graph clustering
-    leiden_params = { max_levels = 10 } # more params in https://neo4j.com/docs/graph-data-science/current/algorithms/leiden/
-
-  [kg.kg_search_config]
-    model = "ollama/llama3.1"
-
-[database]
-provider = "postgres"
-
-[agent]
-system_instruction_name = "rag_agent"
-tool_names = ["search"]
-
-  [agent.generation_config]
-  model = "ollama/llama3.1"
diff --git a/py/core/configs/neo4j_kg_no_vector_postgres.toml b/py/core/configs/neo4j_kg_no_vector_postgres.toml
index 4c75fa8e2..4a7386d4f 100644
--- a/py/core/configs/neo4j_kg_no_vector_postgres.toml
+++ b/py/core/configs/neo4j_kg_no_vector_postgres.toml
@@ -7,9 +7,9 @@ provider = "None"
 [kg]
 provider = "neo4j"
 batch_size = 256
-kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
 
   [kg.kg_creation_settings]
+    kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
     entity_types = [] # if empty, all entities are extracted
     relation_types = [] # if empty, all relations are extracted
     fragment_merge_count = 4 # number of fragments to merge into a single extraction
@@ -20,5 +20,5 @@ kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
     generation_config = { model = "gpt-4o-mini" } # and other params, model used for node description and graph clustering
     leiden_params = { max_levels = 10 } # more params here: https://neo4j.com/docs/graph-data-science/current/algorithms/leiden/
 
-  [kg.kg_search_config]
-    model = "gpt-4o-mini"
+  [kg.kg_search_settings]
+    generation_config = { model = "gpt-4o-mini" }
diff --git a/py/core/configs/unstructured.toml b/py/core/configs/unstructured_api.toml
similarity index 100%
rename from py/core/configs/unstructured.toml
rename to py/core/configs/unstructured_api.toml
diff --git a/py/core/examples/scripts/advanced_kg_cookbook.py b/py/core/examples/scripts/advanced_kg_cookbook.py
index db3a2ee1a..e13e75232 100644
--- a/py/core/examples/scripts/advanced_kg_cookbook.py
+++ b/py/core/examples/scripts/advanced_kg_cookbook.py
@@ -159,7 +159,6 @@ def main(
         except:
             continue
 
-    print("Inspecting Knowledge Graph")
     print(
         client.inspect_knowledge_graph(0, 1000, print_descriptions=True)[
             "results"
diff --git a/py/core/examples/scripts/run_group_workflow.py b/py/core/examples/scripts/run_collection_workflow.py
similarity index 88%
rename from py/core/examples/scripts/run_group_workflow.py
rename to py/core/examples/scripts/run_collection_workflow.py
index f5d808c71..2263c7818 100644
--- a/py/core/examples/scripts/run_group_workflow.py
+++ b/py/core/examples/scripts/run_collection_workflow.py
@@ -16,36 +16,36 @@
     # Create two collections
     print("\nCreating two collections...")
     collection1_result = client.create_collection(
-        "TestGroup1", "A test collection for document access"
+        "TestCollection1", "A test collection for document access"
     )
     collection2_result = client.create_collection(
-        "TestGroup2", "Another test collection"
+        "TestCollection2", "Another test collection"
     )
-    print("Group1 creation result:", collection1_result)
-    print("Group2 creation result:", collection2_result)
+    print("Collection1 creation result:", collection1_result)
+    print("Collection2 creation result:", collection2_result)
     collection1_id = collection1_result["results"]["collection_id"]
     collection2_id = collection2_result["results"]["collection_id"]
 
     # Get collections overview
     print("\nGetting collections overview...")
     collections_overview = client.collections_overview()
-    print("Groups overview:", collections_overview)
+    print("Collections overview:", collections_overview)
 
     # Get specific collection
     print("\nGetting specific collection...")
     collection1_details = client.get_collection(collection1_id)
-    print("Group1 details:", collection1_details)
+    print("Collection1 details:", collection1_details)
 
     # List all collections
     print("\nListing all collections...")
     collections_list = client.list_collections()
-    print("Groups list:", collections_list)
+    print("Collections list:", collections_list)
 
     # Update a collection
-    print("\nUpdating Group1...")
+    print("\nUpdating Collection1...")
     update_result = client.update_collection(
         collection1_id,
-        name="UpdatedTestGroup1",
+        name="UpdatedTestCollection1",
         description="Updated description",
     )
     print("Collection update result:", update_result)
@@ -112,9 +112,9 @@
     print("Add user3 to collection2 result:", add_user3_result2)
 
     # Get users in a collection
-    print("\nGetting users in Group1...")
+    print("\nGetting users in Collection1...")
     users_in_collection1 = client.user_collections(collection1_id)
-    print("Users in Group1:", users_in_collection1)
+    print("Users in Collection1:", users_in_collection1)
 
     # Get collections for a user
     print("\nGetting collections for User3...")
@@ -122,19 +122,19 @@
     print("User3 collections:", user3_collections)
 
     # Get documents in a collection
-    print("\nGetting documents in Group1...")
+    print("\nGetting documents in Collection1...")
     docs_in_collection1 = client.documents_in_collection(collection1_id)
-    print("Documents in Group1:", docs_in_collection1)
+    print("Documents in Collection1:", docs_in_collection1)
 
     # Remove user from collection
-    print("\nRemoving User3 from Group1...")
+    print("\nRemoving User3 from Collection1...")
     remove_user_result = client.remove_user_from_collection(
         user3_result["results"]["id"], collection1_id
     )
     print("Remove user result:", remove_user_result)
 
     # Remove document from collection
-    print("\nRemoving Document1 from Group1...")
+    print("\nRemoving Document1 from Collection1...")
     remove_doc_result = client.remove_document_from_collection(
         document1_id, collection1_id
     )
@@ -163,7 +163,7 @@
     print("\nLogging in as user3...")
     client.login("user3@test.com", "password123")
 
-    # Search for documents (should see only document2 after removal from Group1)
+    # Search for documents (should see only document2 after removal from Collection1)
     print("\nUser3 searching for documents...")
     try:
         search_result_user3 = client.search(
diff --git a/py/core/integrations/unstructured/main.py b/py/core/integrations/unstructured/main.py
index 431f40dd1..3c73ccfe6 100644
--- a/py/core/integrations/unstructured/main.py
+++ b/py/core/integrations/unstructured/main.py
@@ -16,7 +16,7 @@
 
 
 class PartitionRequestModel(BaseModel):
-    file_content: bytes
+    file_content: str
     chunking_config: Dict
 
 
diff --git a/py/core/main/abstractions.py b/py/core/main/abstractions.py
index 146aae25f..7647a70f9 100644
--- a/py/core/main/abstractions.py
+++ b/py/core/main/abstractions.py
@@ -1,5 +1,3 @@
-from typing import Optional
-
 from pydantic import BaseModel
 
 from core.agent import R2RRAGAgent, R2RStreamingRAGAgent
@@ -20,37 +18,36 @@
 
 
 class R2RProviders(BaseModel):
-    auth: Optional[AuthProvider]
-    chunking: Optional[ChunkingProvider]
-    database: Optional[DatabaseProvider]
-    kg: Optional[KGProvider]
-    llm: Optional[CompletionProvider]
-    embedding: Optional[EmbeddingProvider]
-    orchestration: Optional[OrchestrationProvider]
-    prompt: Optional[PromptProvider]
-    parsing: Optional[ParsingProvider]
-    file: Optional[FileProvider]
+    auth: AuthProvider
+    chunking: ChunkingProvider
+    database: DatabaseProvider
+    kg: KGProvider
+    llm: CompletionProvider
+    embedding: EmbeddingProvider
+    orchestration: OrchestrationProvider
+    prompt: PromptProvider
+    parsing: ParsingProvider
+    file: FileProvider
 
     class Config:
         arbitrary_types_allowed = True
 
 
 class R2RPipes(BaseModel):
-    parsing_pipe: Optional[AsyncPipe]
-    chunking_pipe: Optional[AsyncPipe]
-    embedding_pipe: Optional[AsyncPipe]
-    vector_storage_pipe: Optional[AsyncPipe]
-    vector_search_pipe: Optional[AsyncPipe]
-    rag_pipe: Optional[AsyncPipe]
-    streaming_rag_pipe: Optional[AsyncPipe]
-    kg_search_pipe: Optional[AsyncPipe]
-    kg_extraction_pipe: Optional[AsyncPipe]
-    kg_storage_pipe: Optional[AsyncPipe]
-    kg_node_extraction_pipe: Optional[AsyncPipe]
-    kg_node_description_pipe: Optional[AsyncPipe]
-    kg_clustering_pipe: Optional[AsyncPipe]
-    kg_community_summary_pipe: Optional[AsyncPipe]
-    chunking_pipe: Optional[AsyncPipe]
+    parsing_pipe: AsyncPipe
+    chunking_pipe: AsyncPipe
+    embedding_pipe: AsyncPipe
+    vector_storage_pipe: AsyncPipe
+    vector_search_pipe: AsyncPipe
+    rag_pipe: AsyncPipe
+    streaming_rag_pipe: AsyncPipe
+    kg_search_pipe: AsyncPipe
+    kg_extraction_pipe: AsyncPipe
+    kg_storage_pipe: AsyncPipe
+    kg_node_extraction_pipe: AsyncPipe
+    kg_node_description_pipe: AsyncPipe
+    kg_clustering_pipe: AsyncPipe
+    kg_community_summary_pipe: AsyncPipe
 
     class Config:
         arbitrary_types_allowed = True
diff --git a/py/core/main/api/auth_router.py b/py/core/main/api/auth_router.py
index d09d7292d..5b9d5aeb5 100644
--- a/py/core/main/api/auth_router.py
+++ b/py/core/main/api/auth_router.py
@@ -5,7 +5,7 @@
 from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
 from pydantic import EmailStr
 
-from core.base.api.models.auth.responses import (
+from core.base.api.models import (
     GenericMessageResponse,
     WrappedGenericMessageResponse,
     WrappedTokenResponse,
@@ -27,6 +27,13 @@ def __init__(
         orchestration_provider: Optional[OrchestrationProvider] = None,
     ):
         super().__init__(auth_service, run_type, orchestration_provider)
+        self.service: AuthService = auth_service  # for type hinting
+
+    def _register_workflows(self):
+        pass
+
+    def _load_openapi_extras(self):
+        return {}
 
     def _setup_routes(self):
         @self.router.post("/register", response_model=WrappedUserResponse)
diff --git a/py/core/main/api/base_router.py b/py/core/main/api/base_router.py
index d6163421e..58265e529 100644
--- a/py/core/main/api/base_router.py
+++ b/py/core/main/api/base_router.py
@@ -1,20 +1,19 @@
 import functools
 import logging
 from abc import abstractmethod
-from typing import Optional
+from typing import Callable, Optional
 
 from fastapi import APIRouter, HTTPException
 from fastapi.responses import StreamingResponse
 
 from core.base import R2RException, manage_run
 from core.base.logging.base import RunType
-
-logger = logging.getLogger(__name__)
-
 from core.base.providers import OrchestrationProvider
 
 from ..services.base import Service
 
+logger = logging.getLogger(__name__)
+
 
 class BaseRouter:
     def __init__(
@@ -34,7 +33,7 @@ def __init__(
     def get_router(self):
         return self.router
 
-    def base_endpoint(self, func: callable):
+    def base_endpoint(self, func: Callable):
         @functools.wraps(func)
         async def wrapper(*args, **kwargs):
             async with manage_run(
@@ -48,10 +47,18 @@ async def wrapper(*args, **kwargs):
                     )
 
                 try:
-                    results = await func(*args, **kwargs)
+                    func_result = await func(*args, **kwargs)
+                    if (
+                        isinstance(func_result, tuple)
+                        and len(func_result) == 2
+                    ):
+                        results, outer_kwargs = func_result
+                    else:
+                        results, outer_kwargs = func_result, {}
+
                     if isinstance(results, StreamingResponse):
                         return results
-                    return {"results": results}
+                    return {"results": results, **outer_kwargs}
                 except R2RException as re:
                     raise HTTPException(
                         status_code=re.status_code,
diff --git a/py/core/main/api/data/retrieval_router_openapi.yml b/py/core/main/api/data/retrieval_router_openapi.yml
index 5a549445c..d76e3a7cc 100644
--- a/py/core/main/api/data/retrieval_router_openapi.yml
+++ b/py/core/main/api/data/retrieval_router_openapi.yml
@@ -20,7 +20,7 @@ search:
                   "use_kg_search": True, # graph needs to be constructed first
                   "kg_search_type": "local",
                   "kg_search_level": "0",
-                  "kg_search_generation_config": {
+                  "generation_config": {
                       "model": "gpt-4o-mini",
                       "temperature": 0.7,
                   },
@@ -50,7 +50,7 @@ search:
                 "use_kg_search": true, # graph needs to be constructed first
                 "kg_search_type": "local",
                 "kg_search_level": "0",
-                "kg_search_generation_config": {
+                "generation_config": {
                     "model": "gpt-4o-mini",
                     "temperature": 0.7
                 },
@@ -91,7 +91,7 @@ rag:
                   "use_kg_search": True,
                   "kg_search_type": "local",
                   "kg_search_level": "0",
-                  "kg_search_generation_config": {
+                  "generation_config": {
                       "model": "gpt-4o-mini",
                       "temperature": 0.7,
                   },
@@ -126,7 +126,7 @@ rag:
                 "use_kg_search": true, # graph needs to be constructed first
                 "kg_search_type": "local",
                 "kg_search_level": "0",
-                "kg_search_generation_config": {
+                "generation_config": {
                     "model": "gpt-4o-mini",
                     "temperature": 0.7
                 },
diff --git a/py/core/main/api/ingestion_router.py b/py/core/main/api/ingestion_router.py
index 950da9218..975b449b1 100644
--- a/py/core/main/api/ingestion_router.py
+++ b/py/core/main/api/ingestion_router.py
@@ -10,7 +10,7 @@
 from pydantic import Json
 
 from core.base import ChunkingConfig, R2RException, generate_user_document_id
-from core.base.api.models.ingestion.responses import (
+from core.base.api.models import (
     WrappedIngestionResponse,
     WrappedUpdateResponse,
 )
@@ -83,7 +83,8 @@ async def ingest_files_app(
                 description=ingest_files_descriptions.get("chunking_config"),
             ),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedIngestionResponse:
+            response_model=WrappedIngestionResponse,
+        ):
             """
             Ingest files into the system.
 
@@ -174,7 +175,8 @@ async def retry_ingest_files(
                 description=ingest_files_descriptions.get("document_ids"),
             ),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedIngestionResponse:
+            response_model=WrappedIngestionResponse,
+        ):
             """
             Retry the ingestion of files into the system.
 
@@ -186,7 +188,9 @@ async def retry_ingest_files(
                 documents_overview = await self.service.providers.database.relational.get_documents_overview(
                     filter_document_ids=document_ids,
                     filter_user_ids=[auth_user.id],
-                )
+                )[
+                    "results"
+                ]
                 if len(documents_overview) != len(document_ids):
                     raise R2RException(
                         status_code=404,
@@ -229,7 +233,8 @@ async def update_files_app(
                 description=ingest_files_descriptions.get("chunking_config"),
             ),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedUpdateResponse:
+            response_model=WrappedUpdateResponse,
+        ):
             """
             Update existing files in the system.
 
@@ -310,7 +315,7 @@ def _validate_chunking_config(chunking_config):
         from ..assembly.factory import R2RProviderFactory
 
         if chunking_config:
-            chunking_config.validate()
+            chunking_config.validate_config()
             R2RProviderFactory.create_chunking_provider(chunking_config)
         else:
             logger.info("No chunking config override provided. Using default.")
diff --git a/py/core/main/api/management_router.py b/py/core/main/api/management_router.py
index 22c6bfc34..cb37b0315 100644
--- a/py/core/main/api/management_router.py
+++ b/py/core/main/api/management_router.py
@@ -11,7 +11,7 @@
 from pydantic import Json
 
 from core.base import R2RException
-from core.base.api.models.management.responses import (
+from core.base.api.models import (
     WrappedAddUserResponse,
     WrappedAnalyticsResponse,
     WrappedAppSettingsResponse,
@@ -26,7 +26,9 @@
     WrappedPromptMessageResponse,
     WrappedScoreCompletionResponse,
     WrappedServerStatsResponse,
+    WrappedUserCollectionResponse,
     WrappedUserOverviewResponse,
+    WrappedUsersInCollectionResponse,
 )
 from core.base.logging import AnalysisTypes, LogFilterCriteria
 from core.base.providers import OrchestrationProvider
@@ -46,6 +48,12 @@ def __init__(
         self.service: ManagementService = service  # for type hinting
         self.start_time = datetime.now(timezone.utc)
 
+    def _register_workflows(self):
+        pass
+
+    def _load_openapi_extras(self):
+        return {}
+
     # TODO: remove this from the management route, it should be at the base of the server
     def _setup_routes(self):
         @self.router.get("/health")
@@ -57,7 +65,8 @@ async def health_check():
         @self.base_endpoint
         async def server_stats(
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedServerStatsResponse:
+            response_model=WrappedServerStatsResponse,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only an authorized user can call the `server_stats` endpoint.",
@@ -83,7 +92,8 @@ async def update_prompt_app(
                 {}, description="Input types"
             ),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedPromptMessageResponse:
+            response_model=WrappedPromptMessageResponse,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can call the `update_prompt` endpoint.",
@@ -102,7 +112,8 @@ async def add_prompt_app(
             template: str = Body(..., description="Prompt template"),
             input_types: dict[str, str] = Body({}, description="Input types"),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedPromptMessageResponse:
+            response_model=WrappedPromptMessageResponse,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can call the `add_prompt` endpoint.",
@@ -122,7 +133,8 @@ async def get_prompt_app(
                 None, description="Prompt override"
             ),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedPromptMessageResponse:
+            response_model=WrappedPromptMessageResponse,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can call the `get_prompt` endpoint.",
@@ -137,7 +149,8 @@ async def get_prompt_app(
         @self.base_endpoint
         async def get_all_prompts_app(
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedGetPromptsResponse:
+            response_model=WrappedGetPromptsResponse,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can call the `get_all_prompts` endpoint.",
@@ -151,7 +164,8 @@ async def get_all_prompts_app(
         async def delete_prompt_app(
             prompt_name: str = Path(..., description="Prompt name"),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> None:
+            response_model=None,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can call the `delete_prompt` endpoint.",
@@ -166,7 +180,8 @@ async def get_analytics_app(
             filter_criteria: Optional[Json[dict]] = Query({}),
             analysis_types: Optional[Json[dict]] = Query({}),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedAnalyticsResponse:
+            response_model=WrappedAnalyticsResponse,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can call the `analytics` endpoint.", 403
@@ -197,7 +212,8 @@ async def logs_app(
             offset: int = Query(0, ge=0),
             limit: int = Query(100, ge=1, le=1000),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedLogResponse:
+            response_model=WrappedLogResponse,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can call the `logs` endpoint.", 403
@@ -213,7 +229,8 @@ async def logs_app(
         @self.base_endpoint
         async def app_settings(
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedAppSettingsResponse:
+            response_model=WrappedAppSettingsResponse,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can call the `app_settings` endpoint.",
@@ -227,7 +244,8 @@ async def score_completion(
             message_id: str = Body(..., description="Message ID"),
             score: float = Body(..., description="Completion score"),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedScoreCompletionResponse:
+            response_model=WrappedScoreCompletionResponse,
+        ):
             message_uuid = UUID(message_id)
             return await self.service.score_completion(
                 message_id=message_uuid, score=score
@@ -240,7 +258,8 @@ async def users_overview_app(
             offset: int = Query(0, ge=0),
             limit: int = Query(100, ge=1, le=1000),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedUserOverviewResponse:
+            response_model=WrappedUserOverviewResponse,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can call the `users_overview` endpoint.",
@@ -251,16 +270,21 @@ async def users_overview_app(
                 [UUID(user_id) for user_id in user_ids] if user_ids else None
             )
 
-            return await self.service.users_overview(
+            users_overview_response = await self.service.users_overview(
                 user_ids=user_uuids, offset=offset, limit=limit
             )
 
+            return users_overview_response["results"], {
+                "total_entries": users_overview_response["total_entries"]
+            }
+
         @self.router.delete("/delete", status_code=204)
         @self.base_endpoint
         async def delete_app(
             filters: str = Query(..., description="JSON-encoded filters"),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> None:
+            response_model=None,
+        ):
             filters_dict = json.loads(filters) if filters else None
             return await self.service.delete(filters=filters_dict)
 
@@ -281,7 +305,7 @@ async def download_file_app(
                 document_uuid = UUID(document_id)
             except ValueError:
                 raise R2RException(
-                    status_code=400, detail="Invalid document ID format."
+                    status_code=400, message="Invalid document ID format."
                 )
 
             file_tuple = await self.service.download_file(document_uuid)
@@ -318,21 +342,26 @@ async def documents_overview_app(
             offset: int = Query(0, ge=0),
             limit: int = Query(100, ge=1, le=1000),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedDocumentOverviewResponse:
+            response_model=WrappedDocumentOverviewResponse,
+        ):
             request_user_ids = (
                 None if auth_user.is_superuser else [auth_user.id]
             )
             document_uuids = [
                 UUID(document_id) for document_id in document_ids
             ]
-            result = await self.service.documents_overview(
-                user_ids=request_user_ids,
-                collection_ids=auth_user.collection_ids,
-                document_ids=document_uuids,
-                offset=offset,
-                limit=limit,
+            documents_overview_response = (
+                await self.service.documents_overview(
+                    user_ids=request_user_ids,
+                    collection_ids=auth_user.collection_ids,
+                    document_ids=document_uuids,
+                    offset=offset,
+                    limit=limit,
+                )
             )
-            return result
+            return documents_overview_response["results"], {
+                "total_entries": documents_overview_response["total_entries"]
+            }
 
         @self.router.get("/document_chunks/{document_id}")
         @self.base_endpoint
@@ -341,19 +370,23 @@ async def document_chunks_app(
             offset: Optional[int] = Query(0, ge=0),
             limit: Optional[int] = Query(100, ge=0),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedDocumentChunkResponse:
+            response_model=WrappedDocumentChunkResponse,
+        ):
             document_uuid = UUID(document_id)
-            chunks = await self.service.document_chunks(
+
+            document_chunks_result = await self.service.document_chunks(
                 document_uuid, offset, limit
             )
 
-            if not chunks:
+            if not document_chunks_result:
                 raise R2RException(
                     "No chunks found for the given document ID.",
                     404,
                 )
 
-            is_owner = str(chunks[0].get("user_id")) == str(auth_user.id)
+            is_owner = str(
+                document_chunks_result["results"][0].get("user_id")
+            ) == str(auth_user.id)
 
             if not is_owner and not auth_user.is_superuser:
                 raise R2RException(
@@ -361,7 +394,9 @@ async def document_chunks_app(
                     403,
                 )
 
-            return chunks
+            return document_chunks_result["results"], {
+                "total_entries": document_chunks_result["total_entries"]
+            }
 
         @self.router.get("/inspect_knowledge_graph")
         @self.base_endpoint
@@ -370,7 +405,8 @@ async def inspect_knowledge_graph(
             limit: int = 100,
             print_descriptions: bool = False,
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedKnowledgeGraphResponse:
+            response_model=WrappedKnowledgeGraphResponse,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can call the `inspect_knowledge_graph` endpoint.",
@@ -389,7 +425,8 @@ async def collections_overview_app(
             offset: Optional[int] = Query(0, ge=0),
             limit: Optional[int] = Query(100, ge=1, le=1000),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedCollectionOverviewResponse:
+            response_model=WrappedCollectionOverviewResponse,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can call the `collections_overview` endpoint.",
@@ -401,10 +438,16 @@ async def collections_overview_app(
                 if collection_ids
                 else None
             )
-            return await self.service.collections_overview(
-                collection_ids=collection_uuids, offset=offset, limit=limit
+            collections_overview_response = (
+                await self.service.collections_overview(
+                    collection_ids=collection_uuids, offset=offset, limit=limit
+                )
             )
 
+            return collections_overview_response["results"], {
+                "total_entries": collections_overview_response["total_entries"]
+            }
+
         @self.router.post("/create_collection")
         @self.base_endpoint
         async def create_collection_app(
@@ -413,7 +456,8 @@ async def create_collection_app(
                 "", description="Collection description"
             ),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedCollectionResponse:
+            response_model=WrappedCollectionResponse,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can create collections.", 403
@@ -425,7 +469,8 @@ async def create_collection_app(
         async def get_collection_app(
             collection_id: str = Path(..., description="Collection ID"),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedCollectionResponse:
+            response_model=WrappedCollectionResponse,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can get Collection details.", 403
@@ -445,7 +490,8 @@ async def update_collection_app(
                 None, description="Updated collection description"
             ),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedCollectionResponse:
+            response_model=WrappedCollectionResponse,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can update collections.", 403
@@ -474,22 +520,28 @@ async def list_collections_app(
             offset: int = Query(0, ge=0),
             limit: int = Query(100, ge=1, le=1000),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedCollectionListResponse:
+            response_model=WrappedCollectionListResponse,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can list all collections.", 403
                 )
-            return await self.service.list_collections(
+            list_collections_response = await self.service.list_collections(
                 offset=offset, limit=min(max(limit, 1), 1000)
             )
 
+            return list_collections_response["results"], {
+                "total_entries": list_collections_response["total_entries"]
+            }
+
         @self.router.post("/add_user_to_collection")
         @self.base_endpoint
         async def add_user_to_collection_app(
             user_id: str = Body(..., description="User ID"),
             collection_id: str = Body(..., description="Collection ID"),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedAddUserResponse:
+            response_model=WrappedAddUserResponse,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can add users to collections.", 403
@@ -529,18 +581,25 @@ async def get_users_in_collection_app(
                 100, ge=1, le=1000, description="Pagination limit"
             ),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
+            response_model=WrappedUsersInCollectionResponse,
         ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can get users in a collection.", 403
                 )
             collection_uuid = UUID(collection_id)
-            return await self.service.get_users_in_collection(
-                collection_id=collection_uuid,
-                offset=offset,
-                limit=min(max(limit, 1), 1000),
+            users_in_collection_response = (
+                await self.service.get_users_in_collection(
+                    collection_id=collection_uuid,
+                    offset=offset,
+                    limit=min(max(limit, 1), 1000),
+                )
             )
 
+            return users_in_collection_response["results"], {
+                "total_entries": users_in_collection_response["total_entries"]
+            }
+
         @self.router.get("/user_collections/{user_id}")
         @self.base_endpoint
         async def get_collections_for_user_app(
@@ -550,16 +609,23 @@ async def get_collections_for_user_app(
                 100, ge=1, le=1000, description="Pagination limit"
             ),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
+            response_model=WrappedUserCollectionResponse,
         ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can get collections for a user.", 403
                 )
             user_uuid = UUID(user_id)
-            return await self.service.get_collections_for_user(
-                user_uuid, offset, limit
+            user_collection_response = (
+                await self.service.get_collections_for_user(
+                    user_uuid, offset, limit
+                )
             )
 
+            return user_collection_response["results"], {
+                "total_entries": user_collection_response["total_entries"]
+            }
+
         @self.router.post("/assign_document_to_collection")
         @self.base_endpoint
         async def assign_document_to_collection_app(
@@ -584,7 +650,8 @@ async def remove_document_from_collection_app(
             document_id: str = Body(..., description="Document ID"),
             collection_id: str = Body(..., description="Collection ID"),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> None:
+            response_model=None,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can remove documents from collections.",
@@ -604,16 +671,23 @@ async def document_collections_app(
             offset: int = Query(0, ge=0),
             limit: int = Query(100, ge=1, le=1000),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedCollectionListResponse:
+            response_model=WrappedCollectionListResponse,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can get the collections belonging to a document.",
                     403,
                 )
-            return await self.service.document_collections(
-                document_id, offset, limit
+            document_collections_response = (
+                await self.service.document_collections(
+                    document_id, offset, limit
+                )
             )
 
+            return document_collections_response["results"], {
+                "total_entries": document_collections_response["total_entries"]
+            }
+
         @self.router.get("/collection/{collection_id}/documents")
         @self.base_endpoint
         async def documents_in_collection_app(
@@ -621,12 +695,21 @@ async def documents_in_collection_app(
             offset: int = Query(0, ge=0),
             limit: int = Query(100, ge=1, le=1000),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedDocumentOverviewResponse:
+            response_model=WrappedDocumentOverviewResponse,
+        ):
             if not auth_user.is_superuser:
                 raise R2RException(
                     "Only a superuser can get documents in a collection.", 403
                 )
             collection_uuid = UUID(collection_id)
-            return await self.service.documents_in_collection(
-                collection_uuid, offset, limit
+            documents_in_collection_response = (
+                await self.service.documents_in_collection(
+                    collection_uuid, offset, limit
+                )
             )
+
+            return documents_in_collection_response["results"], {
+                "total_entries": documents_in_collection_response[
+                    "total_entries"
+                ]
+            }
diff --git a/py/core/main/api/restructure_router.py b/py/core/main/api/restructure_router.py
index d43ce89da..d65ee80fb 100644
--- a/py/core/main/api/restructure_router.py
+++ b/py/core/main/api/restructure_router.py
@@ -1,14 +1,13 @@
 import logging
 from pathlib import Path
-from typing import Optional, Union
+from typing import Optional
 
 import yaml
 from fastapi import Body, Depends
 from pydantic import Json
 
 from core.base import KGCreationSettings, KGEnrichmentSettings
-from core.base.abstractions.document import RestructureStatus
-from core.base.api.models.restructure.responses import (
+from core.base.api.models import (
     WrappedKGCreationResponse,
     WrappedKGEnrichmentResponse,
 )
@@ -41,15 +40,13 @@ def __init__(
         super().__init__(service, run_type, orchestration_provider)
         self.service: RestructureService = service
 
-        def _load_openapi_extras(self):
-            yaml_path = (
-                Path(__file__).parent
-                / "data"
-                / "restructure_router_openapi.yml"
-            )
-            with open(yaml_path, "r") as yaml_file:
-                yaml_content = yaml.safe_load(yaml_file)
-            return yaml_content
+    def _load_openapi_extras(self):
+        yaml_path = (
+            Path(__file__).parent / "data" / "restructure_router_openapi.yml"
+        )
+        with open(yaml_path, "r") as yaml_file:
+            yaml_content = yaml.safe_load(yaml_file)
+        return yaml_content
 
     def _register_workflows(self):
         self.orchestration_provider.register_workflow(
@@ -80,7 +77,8 @@ async def create_graph(
                 description="Settings for the graph creation process.",
             ),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedKGCreationResponse:
+            response_model=WrappedKGCreationResponse,
+        ):
             """
             Creating a graph on your documents. This endpoint takes input a list of document ids and KGCreationSettings. If document IDs are not provided, the graph will be created on all documents in the system.
 
@@ -133,7 +131,8 @@ async def enrich_graph(
                 description="Settings for the graph enrichment process.",
             ),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedKGEnrichmentResponse:
+            response_model=WrappedKGEnrichmentResponse,
+        ):
             """
             This endpoint enriches the graph with additional information. It creates communities of nodes based on their similarity and adds embeddings to the graph. This step is necessary for GraphRAG to work.
             """
diff --git a/py/core/main/api/retrieval_router.py b/py/core/main/api/retrieval_router.py
index 84124b2d2..e53e4b78a 100644
--- a/py/core/main/api/retrieval_router.py
+++ b/py/core/main/api/retrieval_router.py
@@ -42,6 +42,9 @@ def _load_openapi_extras(self):
             yaml_content = yaml.safe_load(yaml_file)
         return yaml_content
 
+    def _register_workflows(self):
+        pass
+
     def _setup_routes(self):
         search_extras = self.openapi_extras.get("search", {})
         search_descriptions = search_extras.get("input_descriptions", {})
@@ -64,7 +67,9 @@ async def search_app(
                 description=search_descriptions.get("kg_search_settings"),
             ),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedSearchResponse:
+            response_model=WrappedSearchResponse,
+        ):
+            print("kg_search_settings = ", kg_search_settings)
             """
             Perform a search query on the vector database and knowledge graph.
 
@@ -139,7 +144,8 @@ async def rag_app(
                 description=rag_descriptions.get("include_title_if_available"),
             ),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedRAGResponse:
+            response_model=WrappedRAGResponse,
+        ):
             """
             Execute a RAG (Retrieval-Augmented Generation) query.
 
@@ -149,6 +155,8 @@ async def rag_app(
 
             The generation process can be customized using the rag_generation_config parameter.
             """
+            print("kg_search_settings = ", kg_search_settings)
+
             allowed_collections = set(auth_user.collection_ids)
             filters = {
                 "$or": [
@@ -221,7 +229,8 @@ async def agent_app(
                 ),
             ),
             auth_user=Depends(self.service.providers.auth.auth_wrapper),
-        ) -> WrappedRAGAgentResponse:
+            response_model=WrappedRAGAgentResponse,
+        ):
             """
             Implement an agent-based interaction for complex query processing.
 
diff --git a/py/core/main/app.py b/py/core/main/app.py
index 492c9b33b..be4eefbde 100644
--- a/py/core/main/app.py
+++ b/py/core/main/app.py
@@ -10,8 +10,6 @@
 from .api.restructure_router import RestructureRouter
 from .api.retrieval_router import RetrievalRouter
 from .config import R2RConfig
-from .services.ingestion_service import IngestionService
-from .services.restructure_service import RestructureService
 
 
 class R2RApp:
diff --git a/py/core/main/app_entry.py b/py/core/main/app_entry.py
index 98d1041b4..300f5b8f9 100644
--- a/py/core/main/app_entry.py
+++ b/py/core/main/app_entry.py
@@ -27,7 +27,7 @@ async def lifespan(app: FastAPI):
     app.router.routes = r2r_app.app.routes
 
     # Copy middleware and exception handlers
-    app.middleware = r2r_app.app.middleware
+    app.middleware = r2r_app.app.middleware  # type: ignore
     app.exception_handlers = r2r_app.app.exception_handlers
 
     # Start the scheduler
diff --git a/py/core/main/assembly/builder.py b/py/core/main/assembly/builder.py
index 30f28cea5..be2e0e700 100644
--- a/py/core/main/assembly/builder.py
+++ b/py/core/main/assembly/builder.py
@@ -1,5 +1,5 @@
 import logging
-from dataclasses import dataclass, field
+from dataclasses import dataclass
 from typing import Any, Dict, Optional, Type
 
 from core.agent import R2RRAGAgent
@@ -67,7 +67,6 @@ class PipeOverrides:
     kg_node_description: Optional[AsyncPipe] = None
     kg_clustering: Optional[AsyncPipe] = None
     kg_community_summary: Optional[AsyncPipe] = None
-    kg_search: Optional[AsyncPipe] = None
 
 
 @dataclass
@@ -93,8 +92,10 @@ def __init__(self, config: R2RConfig):
         self.provider_factory_override: Optional[Type[R2RProviderFactory]] = (
             None
         )
-        self.pipe_factory_override: Optional[R2RPipeFactory] = None
-        self.pipeline_factory_override: Optional[R2RPipelineFactory] = None
+        self.pipe_factory_override: Optional[Type[R2RPipeFactory]] = None
+        self.pipeline_factory_override: Optional[Type[R2RPipelineFactory]] = (
+            None
+        )
         self.provider_overrides = ProviderOverrides()
         self.pipe_overrides = PipeOverrides()
         self.pipeline_overrides = PipelineOverrides()
@@ -106,11 +107,11 @@ def with_provider_factory(self, factory: Type[R2RProviderFactory]):
         self.provider_factory_override = factory
         return self
 
-    def with_pipe_factory(self, factory: R2RPipeFactory):
+    def with_pipe_factory(self, factory: type[R2RPipeFactory]):
         self.pipe_factory_override = factory
         return self
 
-    def with_pipeline_factory(self, factory: R2RPipelineFactory):
+    def with_pipeline_factory(self, factory: type[R2RPipelineFactory]):
         self.pipeline_factory_override = factory
         return self
 
@@ -142,11 +143,16 @@ async def _create_providers(
             for k, v in vars(self.provider_overrides).items()
             if v is not None
         }
+        kwargs = {**kwargs, **overrides}
         factory = provider_factory(self.config)
-        return await factory.create_providers(*args, **kwargs, **overrides)
+        return await factory.create_providers(*args, **kwargs)
 
     def _create_pipes(
-        self, pipe_factory: R2RPipeFactory, providers: Any, *args, **kwargs
+        self,
+        pipe_factory: type[R2RPipeFactory],
+        providers: Any,
+        *args,
+        **kwargs,
     ) -> Any:
         overrides = {
             k: v for k, v in vars(self.pipe_overrides).items() if v is not None
@@ -156,19 +162,11 @@ def _create_pipes(
         )
 
     def _create_pipelines(
-        self, pipeline_factory: R2RPipelineFactory, pipes: Any, *args, **kwargs
-    ) -> Any:
-        overrides = {
-            k: v
-            for k, v in vars(self.pipeline_overrides).items()
-            if v is not None
-        }
-        return pipeline_factory(self.config, pipes).create_pipelines(
-            overrides=overrides, *args, **kwargs
-        )
-
-    def _create_pipelines(
-        self, pipeline_factory: R2RPipelineFactory, pipes: Any, *args, **kwargs
+        self,
+        pipeline_factory: type[R2RPipelineFactory],
+        pipes: Any,
+        *args,
+        **kwargs,
     ) -> Any:
         override_dict = {
             f"{k}_pipeline": v
diff --git a/py/core/main/assembly/factory.py b/py/core/main/assembly/factory.py
index 45e6215df..34bb378df 100644
--- a/py/core/main/assembly/factory.py
+++ b/py/core/main/assembly/factory.py
@@ -27,7 +27,7 @@
     RunLoggingSingleton,
 )
 from core.pipelines import RAGPipeline, SearchPipeline
-from core.pipes import MultiSearchPipe, SearchPipe
+from core.pipes import GeneratorPipe, MultiSearchPipe, SearchPipe
 
 from ..abstractions import R2RAgents, R2RPipelines, R2RPipes, R2RProviders
 from ..config import R2RConfig
@@ -43,11 +43,10 @@ def __init__(self, config: R2RConfig):
     async def create_auth_provider(
         auth_config: AuthConfig,
         db_provider: DatabaseProvider,
-        crypto_provider: Optional[CryptoProvider] = None,
+        crypto_provider: CryptoProvider,
         *args,
         **kwargs,
     ) -> AuthProvider:
-        auth_provider: Optional[AuthProvider] = None
         if auth_config.provider == "r2r":
             from core.providers import R2RAuthProvider
 
@@ -55,32 +54,24 @@ async def create_auth_provider(
                 auth_config, crypto_provider, db_provider
             )
             await auth_provider.initialize()
-        elif auth_config.provider is None:
-            auth_provider = None
+            return auth_provider
         else:
             raise ValueError(
                 f"Auth provider {auth_config.provider} not supported."
             )
-        return auth_provider
 
     @staticmethod
     def create_crypto_provider(
         crypto_config: CryptoConfig, *args, **kwargs
     ) -> CryptoProvider:
-        crypto_provider: Optional[CryptoProvider] = None
         if crypto_config.provider == "bcrypt":
             from core.providers.crypto import BCryptConfig, BCryptProvider
 
-            crypto_provider = BCryptProvider(
-                BCryptConfig(**crypto_config.dict())
-            )
-        elif crypto_config.provider is None:
-            crypto_provider = None
+            return BCryptProvider(BCryptConfig(**crypto_config.dict()))
         else:
             raise ValueError(
                 f"Crypto provider {crypto_config.provider} not supported."
             )
-        return crypto_provider
 
     @staticmethod
     def create_parsing_provider(
@@ -108,18 +99,26 @@ def create_parsing_provider(
     def create_chunking_provider(
         chunking_config: ChunkingConfig, *args, **kwargs
     ) -> ChunkingProvider:
-        chunking_config.validate()
+        chunking_config.validate_config()
         if chunking_config.provider == "r2r":
+            from core.base import R2RChunkingConfig
             from core.providers import R2RChunkingProvider
 
-            return R2RChunkingProvider(chunking_config)
+            chunking_config_r2r = R2RChunkingConfig(
+                **chunking_config.extra_fields
+            )
+            return R2RChunkingProvider(chunking_config_r2r)
         elif chunking_config.provider in [
             "unstructured_local",
             "unstructured_api",
         ]:
+            from core.base import UnstructuredChunkingConfig
             from core.providers import UnstructuredChunkingProvider
 
-            return UnstructuredChunkingProvider(chunking_config)
+            chunking_config_unst = UnstructuredChunkingConfig(
+                **chunking_config.extra_fields
+            )
+            return UnstructuredChunkingProvider(chunking_config_unst)
         else:
             raise ValueError(
                 f"Chunking provider {chunking_config.provider} not supported"
@@ -139,7 +138,7 @@ def create_orchestration_provider(*args, **kwargs):
     async def create_database_provider(
         self,
         db_config: DatabaseConfig,
-        crypto_provider: Optional[CryptoProvider] = None,
+        crypto_provider: CryptoProvider,
         *args,
         **kwargs,
     ) -> DatabaseProvider:
@@ -157,15 +156,12 @@ async def create_database_provider(
                 db_config, vector_db_dimension, crypto_provider=crypto_provider
             )
             await database_provider.initialize()
-        elif db_config.provider is None:
-            database_provider = None
+            return database_provider
         else:
             raise ValueError(
                 f"Database provider {db_config.provider} not supported"
             )
 
-        return database_provider
-
     @staticmethod
     def create_embedding_provider(
         embedding: EmbeddingConfig, *args, **kwargs
@@ -214,8 +210,6 @@ async def create_file_provider(
 
             file_provider = PostgresFileProvider(file_config, db_provider)
             await file_provider.initialize()
-        elif file_config.provider is None:
-            file_provider = None
         else:
             raise ValueError(
                 f"File provider {file_config.provider} not supported."
@@ -304,13 +298,16 @@ async def create_providers(
         llm_provider = llm_provider_override or self.create_llm_provider(
             self.config.completion, *args, **kwargs
         )
+
         kg_provider = kg_provider_override or self.create_kg_provider(
             self.config.kg, *args, **kwargs
         )
+
         crypto_provider = (
             crypto_provider_override
             or self.create_crypto_provider(self.config.crypto, *args, **kwargs)
         )
+
         database_provider = (
             database_provider_override
             or await self.create_database_provider(
@@ -342,20 +339,20 @@ async def create_providers(
                 self.config.parsing, *args, **kwargs
             )
         )
+
         chunking_provider = chunking_config or self.create_chunking_provider(
             self.config.chunking, *args, **kwargs
         )
-        file_provider = (
-            file_provider_override
-            or await self.create_file_provider(
-                self.config.file, database_provider, *args, **kwargs
-            )
+
+        file_provider = file_provider_override or await self.create_file_provider(
+            self.config.file, database_provider, *args, **kwargs  # type: ignore
         )
 
         orchestration_provider = (
             orchestration_provider_override
             or self.create_orchestration_provider()
         )
+
         return R2RProviders(
             auth=auth_provider,
             chunking=chunking_provider,
@@ -417,7 +414,7 @@ def create_pipes(
             rag_pipe=rag_pipe_override
             or self.create_rag_pipe(*args, **kwargs),
             streaming_rag_pipe=streaming_rag_pipe_override
-            or self.create_rag_pipe(stream=True, *args, **kwargs),
+            or self.create_rag_pipe(True, *args, **kwargs),
             kg_node_extraction_pipe=kg_node_extraction_pipe
             or self.create_kg_node_extraction_pipe(*args, **kwargs),
             kg_node_description_pipe=kg_node_description_pipe
@@ -436,12 +433,16 @@ def create_parsing_pipe(self, *args, **kwargs) -> Any:
         return ParsingPipe(
             parsing_provider=self.providers.parsing,
             file_provider=self.providers.file,
+            config=AsyncPipe.PipeConfig(name="parsing_pipe"),
         )
 
     def create_chunking_pipe(self, *args, **kwargs) -> Any:
         from core.pipes import ChunkingPipe
 
-        return ChunkingPipe(chunking_provider=self.providers.chunking)
+        return ChunkingPipe(
+            chunking_provider=self.providers.chunking,
+            config=AsyncPipe.PipeConfig(name="chunking_pipe"),
+        )
 
     def create_embedding_pipe(self, *args, **kwargs) -> Any:
         if self.config.embedding.provider is None:
@@ -453,6 +454,7 @@ def create_embedding_pipe(self, *args, **kwargs) -> Any:
             embedding_provider=self.providers.embedding,
             database_provider=self.providers.database,
             embedding_batch_size=self.config.embedding.batch_size,
+            config=AsyncPipe.PipeConfig(name="embedding_pipe"),
         )
 
     def create_vector_storage_pipe(self, *args, **kwargs) -> Any:
@@ -461,7 +463,10 @@ def create_vector_storage_pipe(self, *args, **kwargs) -> Any:
 
         from core.pipes import VectorStoragePipe
 
-        return VectorStoragePipe(database_provider=self.providers.database)
+        return VectorStoragePipe(
+            database_provider=self.providers.database,
+            config=AsyncPipe.PipeConfig(name="vector_storage_pipe"),
+        )
 
     def create_default_vector_search_pipe(self, *args, **kwargs) -> Any:
         if self.config.embedding.provider is None:
@@ -472,6 +477,7 @@ def create_default_vector_search_pipe(self, *args, **kwargs) -> Any:
         return VectorSearchPipe(
             database_provider=self.providers.database,
             embedding_provider=self.providers.embedding,
+            config=SearchPipe.SearchConfig(name="vector_search_pipe"),
         )
 
     def create_multi_search_pipe(
@@ -513,15 +519,15 @@ def create_vector_search_pipe(self, *args, **kwargs) -> Any:
         )
         hyde_search_pipe = self.create_multi_search_pipe(
             vanilla_vector_search_pipe,
-            use_rrf=False,
-            expansion_technique="hyde",
+            False,
+            "hyde",
             *args,
             **kwargs,
         )
         rag_fusion_pipe = self.create_multi_search_pipe(
             vanilla_vector_search_pipe,
-            use_rrf=True,
-            expansion_technique="rag_fusion",
+            True,
+            "rag_fusion",
             *args,
             **kwargs,
         )
@@ -535,6 +541,7 @@ def create_vector_search_pipe(self, *args, **kwargs) -> Any:
                 "rag_fusion": rag_fusion_pipe,
             },
             default_strategy="hyde",
+            config=AsyncPipe.PipeConfig(name="routing_search_pipe"),
         )
 
     def create_kg_extraction_pipe(self, *args, **kwargs) -> Any:
@@ -549,7 +556,7 @@ def create_kg_extraction_pipe(self, *args, **kwargs) -> Any:
             database_provider=self.providers.database,
             prompt_provider=self.providers.prompt,
             chunking_provider=self.providers.chunking,
-            kg_batch_size=self.config.kg.batch_size,
+            config=AsyncPipe.PipeConfig(name="kg_extraction_pipe"),
         )
 
     def create_kg_storage_pipe(self, *args, **kwargs) -> Any:
@@ -561,6 +568,7 @@ def create_kg_storage_pipe(self, *args, **kwargs) -> Any:
         return KGStoragePipe(
             kg_provider=self.providers.kg,
             embedding_provider=self.providers.embedding,
+            config=AsyncPipe.PipeConfig(name="kg_storage_pipe"),
         )
 
     def create_kg_search_pipe(self, *args, **kwargs) -> Any:
@@ -574,6 +582,9 @@ def create_kg_search_pipe(self, *args, **kwargs) -> Any:
             llm_provider=self.providers.llm,
             prompt_provider=self.providers.prompt,
             embedding_provider=self.providers.embedding,
+            config=GeneratorPipe.PipeConfig(
+                name="kg_rag_pipe", task_prompt="kg_search"
+            ),
         )
 
     def create_rag_pipe(self, stream: bool = False, *args, **kwargs) -> Any:
@@ -583,6 +594,9 @@ def create_rag_pipe(self, stream: bool = False, *args, **kwargs) -> Any:
             return StreamingSearchRAGPipe(
                 llm_provider=self.providers.llm,
                 prompt_provider=self.providers.prompt,
+                config=GeneratorPipe.PipeConfig(
+                    name="streaming_rag_pipe", task_prompt="default_rag"
+                ),
             )
         else:
             from core.pipes import SearchRAGPipe
@@ -590,6 +604,9 @@ def create_rag_pipe(self, stream: bool = False, *args, **kwargs) -> Any:
             return SearchRAGPipe(
                 llm_provider=self.providers.llm,
                 prompt_provider=self.providers.prompt,
+                config=GeneratorPipe.PipeConfig(
+                    name="search_rag_pipe", task_prompt="default_rag"
+                ),
             )
 
     def create_kg_node_extraction_pipe(self, *args, **kwargs) -> Any:
@@ -599,6 +616,7 @@ def create_kg_node_extraction_pipe(self, *args, **kwargs) -> Any:
             kg_provider=self.providers.kg,
             llm_provider=self.providers.llm,
             prompt_provider=self.providers.prompt,
+            config=AsyncPipe.PipeConfig(name="kg_node_extraction_pipe"),
         )
 
     def create_kg_node_description_pipe(self, *args, **kwargs) -> Any:
@@ -609,6 +627,7 @@ def create_kg_node_description_pipe(self, *args, **kwargs) -> Any:
             llm_provider=self.providers.llm,
             prompt_provider=self.providers.prompt,
             embedding_provider=self.providers.embedding,
+            config=AsyncPipe.PipeConfig(name="kg_node_description_pipe"),
         )
 
     def create_kg_clustering_pipe(self, *args, **kwargs) -> Any:
@@ -619,6 +638,7 @@ def create_kg_clustering_pipe(self, *args, **kwargs) -> Any:
             llm_provider=self.providers.llm,
             prompt_provider=self.providers.prompt,
             embedding_provider=self.providers.embedding,
+            config=AsyncPipe.PipeConfig(name="kg_clustering_pipe"),
         )
 
     def create_kg_community_summary_pipe(self, *args, **kwargs) -> Any:
@@ -629,6 +649,7 @@ def create_kg_community_summary_pipe(self, *args, **kwargs) -> Any:
             llm_provider=self.providers.llm,
             prompt_provider=self.providers.prompt,
             embedding_provider=self.providers.embedding,
+            config=AsyncPipe.PipeConfig(name="kg_community_summary_pipe"),
         )
 
 
@@ -693,15 +714,15 @@ def create_pipelines(
             search_pipeline=search_pipeline,
             rag_pipeline=rag_pipeline
             or self.create_rag_pipeline(
-                search_pipeline=search_pipeline,
-                stream=False,
+                search_pipeline,
+                False,
                 *args,
                 **kwargs,
             ),
             streaming_rag_pipeline=streaming_rag_pipeline
             or self.create_rag_pipeline(
-                search_pipeline=search_pipeline,
-                stream=True,
+                search_pipeline,
+                True,
                 *args,
                 **kwargs,
             ),
@@ -733,30 +754,32 @@ def create_agents(
             rag_agent=rag_agent_override
             or self.create_rag_agent(*args, **kwargs),
             streaming_rag_agent=stream_rag_agent_override
-            or self.create_rag_agent(*args, **kwargs, stream=True),
+            or self.create_streaming_rag_agent(*args, **kwargs),
         )
 
-    def create_rag_agent(
-        self, stream: bool = False, *args, **kwargs
-    ) -> R2RRAGAgent:
+    def create_streaming_rag_agent(
+        self, *args, **kwargs
+    ) -> R2RStreamingRAGAgent:
         if not self.providers.llm or not self.providers.prompt:
             raise ValueError(
                 "LLM and Prompt providers are required for RAG Agent"
             )
 
-        if stream:
-            rag_agent = R2RStreamingRAGAgent(
-                llm_provider=self.providers.llm,
-                prompt_provider=self.providers.prompt,
-                config=self.config.agent,
-                search_pipeline=self.pipelines.search_pipeline,
-            )
-        else:
-            rag_agent = R2RRAGAgent(
-                llm_provider=self.providers.llm,
-                prompt_provider=self.providers.prompt,
-                config=self.config.agent,
-                search_pipeline=self.pipelines.search_pipeline,
-            )
+        return R2RStreamingRAGAgent(
+            llm_provider=self.providers.llm,
+            prompt_provider=self.providers.prompt,
+            config=self.config.agent,
+            search_pipeline=self.pipelines.search_pipeline,
+        )
 
-        return rag_agent
+    def create_rag_agent(self, *args, **kwargs) -> R2RRAGAgent:
+        if not self.providers.llm or not self.providers.prompt:
+            raise ValueError(
+                "LLM and Prompt providers are required for RAG Agent"
+            )
+        return R2RRAGAgent(
+            llm_provider=self.providers.llm,
+            prompt_provider=self.providers.prompt,
+            config=self.config.agent,
+            search_pipeline=self.pipelines.search_pipeline,
+        )
diff --git a/py/core/main/config.py b/py/core/main/config.py
index 0dbd347ad..8069b660f 100644
--- a/py/core/main/config.py
+++ b/py/core/main/config.py
@@ -7,7 +7,7 @@
 import toml
 from pydantic import BaseModel
 
-from ..base.abstractions.llm import GenerationConfig
+from ..base.abstractions import GenerationConfig
 from ..base.agent.agent import AgentConfig
 from ..base.logging.run_logger import LoggingConfig
 from ..base.providers.auth import AuthConfig
@@ -31,11 +31,11 @@ class R2RConfig:
         current_file_path, "..", "..", "r2r.toml"
     )
 
-    CONFIG_OPTIONS = {}
-    for file in os.listdir(config_dir_root):
-        if file.endswith(".toml"):
-            CONFIG_OPTIONS[file.removesuffix(".toml")] = os.path.join(
-                config_dir_root, file
+    CONFIG_OPTIONS: dict[str, Optional[str]] = {}
+    for file_ in os.listdir(config_dir_root):
+        if file_.endswith(".toml"):
+            CONFIG_OPTIONS[file_.removesuffix(".toml")] = os.path.join(
+                config_dir_root, file_
             )
     CONFIG_OPTIONS["default"] = None
 
@@ -116,25 +116,26 @@ def __init__(
                         base_path / default_config[section]["file_path"]
                     )
             setattr(self, section, default_config[section])
-        self.completion = CompletionConfig.create(**self.completion)
+
+        self.completion = CompletionConfig.create(**self.completion)  # type: ignore
         # override GenerationConfig defaults
         GenerationConfig.set_default(
             **self.completion.generation_config.dict()
         )
 
-        self.auth = AuthConfig.create(**self.auth)
-        self.chunking = ChunkingConfig.create(**self.chunking)
-        self.crypto = CryptoConfig.create(**self.crypto)
-        self.database = DatabaseConfig.create(**self.database)
-        self.embedding = EmbeddingConfig.create(**self.embedding)
-        self.kg = KGConfig.create(**self.kg)
-        self.logging = LoggingConfig.create(**self.logging)
-        if "chunking_config" not in self.parsing:
-            self.parsing["chunking_config"] = self.chunking
-        self.parsing = ParsingConfig.create(**self.parsing)
-        self.prompt = PromptConfig.create(**self.prompt)
-        self.agent = AgentConfig.create(**self.agent)
-        self.file = FileConfig.create(**self.file)
+        self.auth = AuthConfig.create(**self.auth)  # type: ignore
+        self.chunking = ChunkingConfig.create(**self.chunking)  # type: ignore
+        self.crypto = CryptoConfig.create(**self.crypto)  # type: ignore
+        self.database = DatabaseConfig.create(**self.database)  # type: ignore
+        self.embedding = EmbeddingConfig.create(**self.embedding)  # type: ignore
+        self.kg = KGConfig.create(**self.kg)  # type: ignore
+        self.logging = LoggingConfig.create(**self.logging)  # type: ignore
+        if "chunking_config" not in self.parsing:  # type: ignore
+            self.parsing["chunking_config"] = self.chunking  # type: ignore
+        self.parsing = ParsingConfig.create(**self.parsing)  # type: ignore
+        self.prompt = PromptConfig.create(**self.prompt)  # type: ignore
+        self.agent = AgentConfig.create(**self.agent)  # type: ignore
+        self.file = FileConfig.create(**self.file)  # type: ignore
 
     def _validate_config_section(
         self, config_data: dict[str, Any], section: str, keys: list
@@ -149,7 +150,7 @@ def _validate_config_section(
             )
 
     @classmethod
-    def from_toml(cls, config_path: str = None) -> "R2RConfig":
+    def from_toml(cls, config_path: Optional[str] = None) -> "R2RConfig":
         if config_path is None:
             config_path = R2RConfig.default_config_path
 
@@ -192,7 +193,7 @@ def _serialize_config(config_section: Any) -> dict:
                 for k, v in config_section.items()
             }
         elif isinstance(config_section, (list, tuple)):
-            return [
+            return [  # type: ignore
                 R2RConfig._serialize_config(item) for item in config_section
             ]
         elif isinstance(config_section, Enum):
diff --git a/py/core/main/hatchet/base.py b/py/core/main/hatchet/base.py
index 6718100e0..d38a51d52 100644
--- a/py/core/main/hatchet/base.py
+++ b/py/core/main/hatchet/base.py
@@ -1,8 +1,6 @@
 from hatchet_sdk import Hatchet
 
 try:
-    import os
-
     r2r_hatchet = Hatchet()
 except ImportError:
     r2r_hatchet = None
diff --git a/py/core/main/hatchet/ingestion_workflow.py b/py/core/main/hatchet/ingestion_workflow.py
index 231e50ba2..3e4c11227 100644
--- a/py/core/main/hatchet/ingestion_workflow.py
+++ b/py/core/main/hatchet/ingestion_workflow.py
@@ -38,21 +38,6 @@ async def parse(self, context: Context) -> dict:
             status=IngestionStatus.PARSING,
         )
 
-        return {
-            "status": "Successfully parsed file",
-            "document_info": document_info.to_dict(),
-        }
-
-    @r2r_hatchet.step(parents=["parse"], timeout="60m")
-    async def extract(self, context: Context) -> dict:
-        document_info_dict = context.step_output("parse")["document_info"]
-        document_info = DocumentInfo(**document_info_dict)
-
-        await self.ingestion_service.update_document_status(
-            document_info,
-            status=IngestionStatus.EXTRACTING,
-        )
-
         extractions_generator = await self.ingestion_service.parse_file(
             document_info
         )
@@ -71,9 +56,9 @@ async def extract(self, context: Context) -> dict:
             "document_info": document_info.to_dict(),
         }
 
-    @r2r_hatchet.step(parents=["extract"], timeout="60m")
+    @r2r_hatchet.step(parents=["parse"], timeout="60m")
     async def chunk(self, context: Context) -> dict:
-        document_info_dict = context.step_output("extract")["document_info"]
+        document_info_dict = context.step_output("parse")["document_info"]
         document_info = DocumentInfo(**document_info_dict)
 
         await self.ingestion_service.update_document_status(
@@ -81,7 +66,7 @@ async def chunk(self, context: Context) -> dict:
             status=IngestionStatus.CHUNKING,
         )
 
-        extractions = context.step_output("extract")["extractions"]
+        extractions = context.step_output("parse")["extractions"]
         chunking_config = context.workflow_input()["request"].get(
             "chunking_config"
         )
@@ -128,7 +113,7 @@ async def embed(self, context: Context) -> dict:
             status=IngestionStatus.STORING,
         )
 
-        storage_generator = await self.ingestion_service.store_embeddings(
+        storage_generator = await self.ingestion_service.store_embeddings(  # type: ignore
             embeddings
         )
 
@@ -224,11 +209,12 @@ async def update_files(self, context: Context) -> None:
                 message="Number of ids does not match number of files.",
             )
 
-        documents_overview = await self.ingestion_service.providers.database.relational.get_documents_overview(
-            filter_document_ids=document_ids,
-            filter_user_ids=None if user.is_superuser else [user.id],
-        )
-
+        documents_overview = (
+            await self.ingestion_service.providers.database.relational.get_documents_overview(
+                filter_document_ids=document_ids,
+                filter_user_ids=None if user.is_superuser else [user.id],
+            )
+        )["results"]
         if len(documents_overview) != len(document_ids):
             raise R2RException(
                 status_code=404,
diff --git a/py/core/main/hatchet/restructure_workflow.py b/py/core/main/hatchet/restructure_workflow.py
index ce10ebf70..539624e19 100644
--- a/py/core/main/hatchet/restructure_workflow.py
+++ b/py/core/main/hatchet/restructure_workflow.py
@@ -3,11 +3,11 @@
 import logging
 import uuid
 
-from hatchet_sdk import Context
+from hatchet_sdk import ConcurrencyLimitStrategy, Context
 
 from core import GenerationConfig, IngestionStatus, KGCreationSettings
 from core.base import R2RDocumentProcessingError
-from core.base.abstractions.document import RestructureStatus
+from core.base.abstractions import RestructureStatus
 
 from ..services import RestructureService
 from .base import r2r_hatchet
@@ -21,7 +21,7 @@ def __init__(self, restructure_service: RestructureService):
         self.restructure_service = restructure_service
 
     @r2r_hatchet.step(retries=3, timeout="60m")
-    async def kg_extract_and_store(self, context: Context) -> None:
+    async def kg_extract_and_store(self, context: Context) -> dict:
         input_data = context.workflow_input()["request"]
         document_id = uuid.UUID(input_data["document_id"])
         fragment_merge_count = input_data["fragment_merge_count"]
@@ -29,11 +29,10 @@ async def kg_extract_and_store(self, context: Context) -> None:
         entity_types = input_data["entity_types"]
         relation_types = input_data["relation_types"]
 
-        document_overview = (
-            await self.restructure_service.providers.database.relational.get_documents_overview(
-                filter_document_ids=[document_id]
-            )
-        )[0]
+        document_overview = await self.restructure_service.providers.database.relational.get_documents_overview(
+            filter_document_ids=[document_id]
+        )
+        document_overview = document_overview["results"][0]
 
         try:
 
@@ -88,7 +87,6 @@ async def kg_extract_and_store(self, context: Context) -> None:
                 document_id=document_id,
             )
 
-
         return {"result": None}
 
 
@@ -98,15 +96,21 @@ def __init__(self, restructure_service: RestructureService):
         self.restructure_service = restructure_service
 
     @r2r_hatchet.step(retries=1)
-    async def kg_extraction_ingress(self, context: Context) -> None:
+    async def kg_extraction_ingress(self, context: Context) -> dict:
         input_data = context.workflow_input()["request"]
+
         kg_creation_settings = KGCreationSettings(
             **json.loads(input_data["kg_creation_settings"])
         )
 
+        documents_overview = (
+            await self.restructure_service.providers.database.relational.get_documents_overview()
+        )
+        documents_overview = documents_overview["results"]
+
         document_ids = [
             doc.id
-            for doc in await self.restructure_service.providers.database.relational.get_documents_overview()
+            for doc in documents_overview
             if doc.restructuring_status != IngestionStatus.SUCCESS
         ]
 
@@ -115,6 +119,7 @@ async def kg_extraction_ingress(self, context: Context) -> None:
         documents_overviews = await self.restructure_service.providers.database.relational.get_documents_overview(
             filter_document_ids=document_ids
         )
+        documents_overviews = documents_overviews["results"]
 
         # Only run if restructuring_status is pending or failure
         filtered_document_ids = []
@@ -123,6 +128,7 @@ async def kg_extraction_ingress(self, context: Context) -> None:
             if restructuring_status in [
                 RestructureStatus.PENDING,
                 RestructureStatus.FAILURE,
+                RestructureStatus.ENRICHMENT_FAILURE,
             ]:
                 filtered_document_ids.append(document_overview.id)
             elif restructuring_status == RestructureStatus.SUCCESS:
@@ -183,7 +189,7 @@ def __init__(self, restructure_service: RestructureService):
         self.restructure_service = restructure_service
 
     @r2r_hatchet.step(retries=3, timeout="60m")
-    async def kg_node_creation(self, context: Context) -> None:
+    async def kg_node_creation(self, context: Context) -> dict:
         input_data = context.workflow_input()["request"]
         max_description_input_length = input_data[
             "max_description_input_length"
@@ -194,7 +200,7 @@ async def kg_node_creation(self, context: Context) -> None:
         return {"result": None}
 
     @r2r_hatchet.step(retries=3, parents=["kg_node_creation"], timeout="60m")
-    async def kg_clustering(self, context: Context) -> None:
+    async def kg_clustering(self, context: Context) -> dict:
         input_data = context.workflow_input()["request"]
         skip_clustering = input_data["skip_clustering"]
         force_enrichment = input_data["force_enrichment"]
@@ -208,6 +214,7 @@ async def kg_clustering(self, context: Context) -> None:
         documents_overview = (
             await self.restructure_service.providers.database.relational.get_documents_overview()
         )
+        documents_overview = documents_overview["results"]
 
         if not force_enrichment:
             if any(
@@ -251,6 +258,7 @@ async def kg_clustering(self, context: Context) -> None:
 
                 result = results[0]
 
+                # Run community summary workflows
                 workflows = []
                 for level, community_id in result["intermediate_communities"]:
                     logger.info(
@@ -272,10 +280,6 @@ async def kg_clustering(self, context: Context) -> None:
                     )
 
                 results = await asyncio.gather(*workflows)
-                logger.info(
-                    f"KG Community Summary Workflows completed: {len(results)}"
-                )
-
             else:
                 logger.info(
                     "Skipping Leiden clustering as skip_clustering is True, also skipping community summary workflows"
@@ -287,6 +291,7 @@ async def kg_clustering(self, context: Context) -> None:
             documents_overview = (
                 await self.restructure_service.providers.database.relational.get_documents_overview()
             )
+            documents_overview = documents_overview["results"]
             for document_overview in documents_overview:
                 if (
                     document_overview.restructuring_status
@@ -301,14 +306,14 @@ async def kg_clustering(self, context: Context) -> None:
                     logger.error(
                         f"Error in kg_clustering for document {document_overview.id}: {str(e)}"
                     )
-
-            return {"result": None}
+            raise e
 
         finally:
 
             documents_overview = (
                 await self.restructure_service.providers.database.relational.get_documents_overview()
             )
+            documents_overview = documents_overview["results"]
             for document_overview in documents_overview:
                 if (
                     document_overview.restructuring_status
@@ -330,7 +335,7 @@ def __init__(self, restructure_service: RestructureService):
         self.restructure_service = restructure_service
 
     @r2r_hatchet.step(retries=1, timeout="60m")
-    async def kg_community_summary(self, context: Context) -> None:
+    async def kg_community_summary(self, context: Context) -> dict:
         input_data = context.workflow_input()["request"]
         community_id = input_data["community_id"]
         level = input_data["level"]
diff --git a/py/core/main/services/auth_service.py b/py/core/main/services/auth_service.py
index 078835264..57029bcbc 100644
--- a/py/core/main/services/auth_service.py
+++ b/py/core/main/services/auth_service.py
@@ -3,7 +3,7 @@
 from uuid import UUID
 
 from core.base import R2RException, RunLoggingSingleton, RunManager, Token
-from core.base.api.models.auth.responses import UserResponse
+from core.base.api.models import UserResponse
 from core.telemetry.telemetry_decorator import telemetry_event
 
 from ..abstractions import R2RAgents, R2RPipelines, R2RPipes, R2RProviders
@@ -33,11 +33,13 @@ def __init__(
         )
 
     @telemetry_event("RegisterUser")
-    async def register(self, email: str, password: str) -> UserResponse:
+    async def register(self, email: str, password: str) -> dict[str, str]:
         return await self.providers.auth.register(email, password)
 
     @telemetry_event("VerifyEmail")
-    async def verify_email(self, email: str, verification_code: str) -> bool:
+    async def verify_email(
+        self, email: str, verification_code: str
+    ) -> dict[str, str]:
 
         if not self.config.auth.require_email_verification:
             raise R2RException(
@@ -70,7 +72,7 @@ async def login(self, email: str, password: str) -> dict[str, Token]:
 
     @telemetry_event("GetCurrentUser")
     async def user(self, token: str) -> UserResponse:
-        token_data = self.providers.auth.decode_token(token)
+        token_data = await self.providers.auth.decode_token(token)
         user = await self.providers.database.relational.get_user_by_email(
             token_data.email
         )
@@ -138,7 +140,7 @@ async def update_user(
     async def delete_user(
         self,
         user_id: UUID,
-        password: Optional[str] = None,
+        password: str,
         delete_vector_data: bool = False,
         is_superuser: bool = False,
     ) -> dict[str, str]:
@@ -147,7 +149,7 @@ async def delete_user(
             raise R2RException(status_code=404, message="User not found")
         if not (
             is_superuser
-            or self.providers.auth.crypto_provider.verify_password(
+            or self.providers.auth.crypto_provider.verify_password(  # type: ignore
                 password, user.hashed_password
             )
         ):
@@ -160,7 +162,9 @@ async def delete_user(
 
     @telemetry_event("CleanExpiredBlacklistedTokens")
     async def clean_expired_blacklisted_tokens(
-        self, max_age_hours: int = 7 * 24, current_time: datetime = None
+        self,
+        max_age_hours: int = 7 * 24,
+        current_time: Optional[datetime] = None,
     ):
         await self.providers.database.relational.clean_expired_blacklisted_tokens(
             max_age_hours, current_time
diff --git a/py/core/main/services/ingestion_service.py b/py/core/main/services/ingestion_service.py
index 448f55e31..a0a3ac276 100644
--- a/py/core/main/services/ingestion_service.py
+++ b/py/core/main/services/ingestion_service.py
@@ -1,7 +1,7 @@
 import json
 import logging
 from datetime import datetime
-from typing import Any, Optional, Union
+from typing import Any, AsyncGenerator, Optional, Sequence, Union
 from uuid import UUID
 
 from core.base import (
@@ -17,10 +17,10 @@
     VectorEntry,
     decrement_version,
 )
+from core.base.api.models import UserResponse
 from core.base.providers import ChunkingConfig
 from core.telemetry.telemetry_decorator import telemetry_event
 
-from ...base.api.models.auth.responses import UserResponse
 from ..abstractions import R2RAgents, R2RPipelines, R2RPipes, R2RProviders
 from ..config import R2RConfig
 from .base import Service
@@ -58,11 +58,11 @@ async def ingest_file_ingress(
         self,
         file_data: dict,
         user: UserResponse,
+        document_id: UUID,
+        size_in_bytes,
         metadata: Optional[dict] = None,
-        document_id: Optional[UUID] = None,
         version: Optional[str] = None,
         is_update: bool = False,
-        size_in_bytes: Optional[int] = None,
         *args: Any,
         **kwargs: Any,
     ) -> dict:
@@ -88,21 +88,25 @@ async def ingest_file_ingress(
             size_in_bytes,
         )
 
-        if existing_document_info := await self.providers.database.relational.get_documents_overview(
-            filter_user_ids=[user.id],
-            filter_document_ids=[document_id],
-        ):
-            existing_doc = existing_document_info[0]
+        existing_document_info = (
+            await self.providers.database.relational.get_documents_overview(
+                filter_user_ids=[user.id],
+                filter_document_ids=[document_id],
+            )
+        )
+        if documents := existing_document_info.get("documents", []):
+            existing_doc = documents[0]
             if is_update:
                 if (
                     existing_doc.version >= version
-                    and existing_doc.ingestion_status == "success"
+                    and existing_doc.ingestion_status
+                    == IngestionStatus.SUCCESS
                 ):
                     raise R2RException(
                         status_code=409,
                         message=f"Must increment version number before attempting to overwrite document {document_id}.",
                     )
-            elif existing_doc.ingestion_status != "failure":
+            elif existing_doc.ingestion_status != IngestionStatus.FAILURE:
                 raise R2RException(
                     status_code=409,
                     message=f"Document {document_id} was already ingested and is not in a failed state.",
@@ -144,7 +148,7 @@ def _create_document_info(
             metadata=metadata,
             version=version,
             size_in_bytes=size_in_bytes,
-            ingestion_status="pending",
+            ingestion_status=IngestionStatus.PENDING,
             created_at=datetime.now(),
             updated_at=datetime.now(),
         )
@@ -152,33 +156,29 @@ def _create_document_info(
     async def parse_file(
         self,
         document_info: DocumentInfo,
-    ) -> list[DocumentFragment]:
-        file_name, file_wrapper, size_in_bytes = (
-            await self.providers.file.retrieve_file(document_info.id)
+    ) -> AsyncGenerator[DocumentFragment, None]:
+        return await self.pipes.parsing_pipe.run(
+            input=self.pipes.parsing_pipe.Input(
+                message=Document(
+                    id=document_info.id,
+                    collection_ids=document_info.collection_ids,
+                    user_id=document_info.user_id,
+                    type=document_info.type,
+                    metadata={
+                        "document_type": document_info.type.value,
+                        **document_info.metadata,
+                    },
+                )
+            ),
+            state=None,
+            run_manager=self.run_manager,
         )
 
-        with file_wrapper as file_content_stream:
-            return await self.pipes.parsing_pipe.run(
-                input=self.pipes.parsing_pipe.Input(
-                    message=Document(
-                        id=document_info.id,
-                        collection_ids=document_info.collection_ids,
-                        user_id=document_info.user_id,
-                        type=document_info.type,
-                        metadata={
-                            "document_type": document_info.type.value,
-                            **document_info.metadata,
-                        },
-                    )
-                ),
-                run_manager=self.run_manager,
-            )
-
     async def chunk_document(
         self,
         parsed_documents: list[dict],
-        chunking_config: Optional[ChunkingConfig] = None,
-    ) -> list[DocumentFragment]:
+        chunking_config: ChunkingConfig,
+    ) -> AsyncGenerator[DocumentFragment, None]:
 
         return await self.pipes.chunking_pipe.run(
             input=self.pipes.chunking_pipe.Input(
@@ -187,6 +187,7 @@ async def chunk_document(
                     for chunk in parsed_documents
                 ]
             ),
+            state=None,
             run_manager=self.run_manager,
             chunking_config=chunking_config,
         )
@@ -194,7 +195,7 @@ async def chunk_document(
     async def embed_document(
         self,
         chunked_documents: list[dict],
-    ) -> list[str]:
+    ) -> AsyncGenerator[VectorEntry, None]:
         return await self.pipes.embedding_pipe.run(
             input=self.pipes.embedding_pipe.Input(
                 message=[
@@ -202,13 +203,14 @@ async def embed_document(
                     for chunk in chunked_documents
                 ]
             ),
+            state=None,
             run_manager=self.run_manager,
         )
 
     async def store_embeddings(
         self,
-        embeddings: list[Union[dict, VectorEntry]],
-    ) -> list[str]:
+        embeddings: Sequence[Union[dict, VectorEntry]],
+    ) -> AsyncGenerator[str, None]:
         vector_entries = [
             (
                 embedding
@@ -220,6 +222,7 @@ async def store_embeddings(
 
         return await self.pipes.vector_storage_pipe.run(
             input=self.pipes.vector_storage_pipe.Input(message=vector_entries),
+            state=None,
             run_manager=self.run_manager,
         )
 
diff --git a/py/core/main/services/management_service.py b/py/core/main/services/management_service.py
index 7cddd5111..f8aa19255 100644
--- a/py/core/main/services/management_service.py
+++ b/py/core/main/services/management_service.py
@@ -14,6 +14,7 @@
     R2RException,
     RunLoggingSingleton,
     RunManager,
+    RunType,
 )
 from core.telemetry.telemetry_decorator import telemetry_event
 
@@ -50,7 +51,7 @@ async def logs(
         self,
         offset: int = 0,
         limit: int = 100,
-        run_type_filter: Optional[str] = None,
+        run_type_filter: Optional[RunType] = None,
     ):
         if self.logging_connection is None:
             raise R2RException(
@@ -128,7 +129,7 @@ async def analytics(
                     else log.get("key") == value
                 )
 
-        log_processor = LogProcessor(filters)
+        log_processor = LogProcessor(filters)  # type: ignore
         for log in logs:
             if "entries" in log and isinstance(log["entries"], list):
                 log_processor.process_log(log)
@@ -198,7 +199,7 @@ async def score_completion(
         self,
         message_id: UUID,
         score: float = 0.0,
-        run_type_filter: str = None,
+        run_type_filter: Optional[RunType] = None,
         max_runs: int = 100,
         *args: Any,
         **kwargs: Any,
@@ -260,7 +261,7 @@ async def users_overview(
     @telemetry_event("Delete")
     async def delete(
         self,
-        filters: dict[str, str],
+        filters: dict[str, Any],
         *args,
         **kwargs,
     ):
@@ -282,7 +283,7 @@ async def delete(
             logger.error(f"Error deleting from vector database: {e}")
             vector_delete_results = {}
 
-        document_ids_to_purge = set()
+        document_ids_to_purge: set[UUID] = set()
         if vector_delete_results:
             document_ids_to_purge.update(
                 doc_id
@@ -296,14 +297,16 @@ async def delete(
         relational_filters = {}
         if "document_id" in filters:
             relational_filters["filter_document_ids"] = [
-                UUID(filters["document_id"])
+                UUID(filters["document_id"]["$eq"])
             ]
         if "user_id" in filters:
-            relational_filters["filter_user_ids"] = [UUID(filters["user_id"])]
+            relational_filters["filter_user_ids"] = [
+                UUID(filters["user_id"]["$eq"])
+            ]
         if "collection_ids" in filters:
             relational_filters["filter_collection_ids"] = [
                 UUID(collection_id)
-                for collection_id in filters["collection_ids"]
+                for collection_id in filters["collection_ids"]["$in"]
             ]
 
         try:
@@ -317,7 +320,9 @@ async def delete(
             documents_overview = []
 
         if documents_overview:
-            document_ids_to_purge.update(doc.id for doc in documents_overview)
+            document_ids_to_purge.update(
+                doc.id for doc in documents_overview["results"]
+            )
 
         if not document_ids_to_purge:
             raise R2RException(
@@ -354,7 +359,7 @@ async def documents_overview(
         collection_ids: Optional[list[UUID]] = None,
         document_ids: Optional[list[UUID]] = None,
         offset: Optional[int] = 0,
-        limit: Optional[int] = 100,
+        limit: Optional[int] = 1000,
         *args: Any,
         **kwargs: Any,
     ):
@@ -379,18 +384,6 @@ async def document_chunks(
             document_id, offset=offset, limit=limit
         )
 
-    @telemetry_event("UpdatePrompt")
-    async def update_prompt(
-        self,
-        name: str,
-        template: Optional[str] = None,
-        input_types: Optional[dict[str, str]] = None,
-    ):
-        if input_types is None:
-            input_types = {}
-        self.providers.prompt.update_prompt(name, template, input_types)
-        return {"message": f"Prompt '{name}' updated successfully."}
-
     @telemetry_event("InspectKnowledgeGraph")
     async def inspect_knowledge_graph(
         self,
@@ -477,7 +470,7 @@ async def inspect_knowledge_graph(
                 message=f"An error occurred while fetching relationships: {str(e)}",
             )
 
-    @telemetry_event("AssignDocumentToGroup")
+    @telemetry_event("AssignDocumentToCollection")
     async def assign_document_to_collection(
         self, document_id: str, collection_id: UUID
     ):
@@ -490,7 +483,7 @@ async def assign_document_to_collection(
         )
         return {"message": "Document assigned to collection successfully"}
 
-    @telemetry_event("RemoveDocumentFromGroup")
+    @telemetry_event("RemoveDocumentFromCollection")
     async def remove_document_from_collection(
         self, document_id: str, collection_id: UUID
     ):
@@ -502,26 +495,21 @@ async def remove_document_from_collection(
         )
         return {"message": "Document removed from collection successfully"}
 
-    @telemetry_event("DocumentGroups")
+    @telemetry_event("DocumentCollections")
     async def document_collections(
         self, document_id: str, offset: int = 0, limit: int = 100
     ):
-        collection_ids = (
-            await self.providers.database.relational.document_collections(
-                document_id, offset=offset, limit=limit
-            )
+        return await self.providers.database.relational.document_collections(
+            document_id, offset=offset, limit=limit
         )
-        return {
-            "collection_ids": [
-                str(collection_id) for collection_id in collection_ids
-            ]
-        }
 
     def _process_relationships(
         self, relationships: list[Tuple[str, str, str]]
     ) -> Tuple[Dict[str, list[str]], Dict[str, Dict[str, list[str]]]]:
         graph = defaultdict(list)
-        grouped = defaultdict(lambda: defaultdict(list))
+        grouped: Dict[str, Dict[str, list[str]]] = defaultdict(
+            lambda: defaultdict(list)
+        )
         for subject, relation, obj in relationships:
             graph[subject].append(obj)
             grouped[subject][relation].append(obj)
@@ -602,7 +590,7 @@ def _get_central_nodes(
         }
         return sorted(centrality.items(), key=lambda x: x[1], reverse=True)[:5]
 
-    @telemetry_event("CreateGroup")
+    @telemetry_event("CreateCollection")
     async def create_collection(
         self, name: str, description: str = ""
     ) -> UUID:
@@ -610,29 +598,32 @@ async def create_collection(
             name, description
         )
 
-    @telemetry_event("GetGroup")
+    @telemetry_event("GetCollection")
     async def get_collection(self, collection_id: UUID) -> Optional[dict]:
         return await self.providers.database.relational.get_collection(
             collection_id
         )
 
-    @telemetry_event("UpdateGroup")
+    @telemetry_event("UpdateCollection")
     async def update_collection(
-        self, collection_id: UUID, name: str = None, description: str = None
+        self,
+        collection_id: UUID,
+        name: Optional[str] = None,
+        description: Optional[str] = None,
     ) -> bool:
         return await self.providers.database.relational.update_collection(
             collection_id, name, description
         )
 
-    @telemetry_event("DeleteGroup")
+    @telemetry_event("DeleteCollection")
     async def delete_collection(self, collection_id: UUID) -> bool:
         await self.providers.database.relational.delete_collection(
             collection_id
         )
-        await self.providers.database.vector.delete_collection(collection_id)
+        self.providers.database.vector.delete_collection(collection_id)
         return True
 
-    @telemetry_event("ListGroups")
+    @telemetry_event("ListCollections")
     async def list_collections(
         self, offset: int = 0, limit: int = 100
     ) -> list[dict]:
@@ -640,7 +631,7 @@ async def list_collections(
             offset=offset, limit=limit
         )
 
-    @telemetry_event("AddUserToGroup")
+    @telemetry_event("AddUserToCollection")
     async def add_user_to_collection(
         self, user_id: UUID, collection_id: UUID
     ) -> bool:
@@ -648,7 +639,7 @@ async def add_user_to_collection(
             user_id, collection_id
         )
 
-    @telemetry_event("RemoveUserFromGroup")
+    @telemetry_event("RemoveUserFromCollection")
     async def remove_user_from_collection(
         self, user_id: UUID, collection_id: UUID
     ) -> bool:
@@ -656,7 +647,7 @@ async def remove_user_from_collection(
             user_id, collection_id
         )
 
-    @telemetry_event("GetUsersInGroup")
+    @telemetry_event("GetUsersInCollection")
     async def get_users_in_collection(
         self, collection_id: UUID, offset: int = 0, limit: int = 100
     ) -> list[dict]:
@@ -666,7 +657,7 @@ async def get_users_in_collection(
             )
         )
 
-    @telemetry_event("GetGroupsForUser")
+    @telemetry_event("GetCollectionsForUser")
     async def get_collections_for_user(
         self, user_id: UUID, offset: int = 0, limit: int = 100
     ) -> list[dict]:
@@ -676,7 +667,7 @@ async def get_collections_for_user(
             )
         )
 
-    @telemetry_event("GroupsOverview")
+    @telemetry_event("CollectionsOverview")
     async def collections_overview(
         self,
         collection_ids: Optional[list[UUID]] = None,
@@ -697,7 +688,7 @@ async def collections_overview(
             )
         )
 
-    @telemetry_event("GetDocumentsInGroup")
+    @telemetry_event("GetDocumentsInCollection")
     async def documents_in_collection(
         self, collection_id: UUID, offset: int = 0, limit: int = 100
     ) -> list[dict]:
@@ -707,14 +698,6 @@ async def documents_in_collection(
             )
         )
 
-    @telemetry_event("DocumentGroups")
-    async def document_collections(
-        self, document_id: str, offset: int = 0, limit: int = 100
-    ) -> list[str]:
-        return await self.providers.database.relational.document_collections(
-            document_id, offset, limit
-        )
-
     @telemetry_event("AddPrompt")
     async def add_prompt(
         self, name: str, template: str, input_types: dict[str, str]
@@ -731,10 +714,10 @@ async def get_prompt(
         prompt_name: str,
         inputs: Optional[dict[str, Any]] = None,
         prompt_override: Optional[str] = None,
-    ) -> str:
+    ) -> dict:
         try:
             return {
-                "message": await self.providers.prompt.get_prompt(
+                "message": self.providers.prompt.get_prompt(
                     prompt_name, inputs, prompt_override
                 )
             }
@@ -743,7 +726,7 @@ async def get_prompt(
 
     @telemetry_event("GetAllPrompts")
     async def get_all_prompts(self) -> dict[str, Prompt]:
-        return await self.providers.prompt.get_all_prompts()
+        return self.providers.prompt.get_all_prompts()
 
     @telemetry_event("UpdatePrompt")
     async def update_prompt(
diff --git a/py/core/main/services/restructure_service.py b/py/core/main/services/restructure_service.py
index c0731d75f..e38f912f2 100644
--- a/py/core/main/services/restructure_service.py
+++ b/py/core/main/services/restructure_service.py
@@ -62,11 +62,13 @@ async def kg_extract_and_store(
                     "relation_types": relation_types,
                 }
             ),
+            state=None,
             run_manager=self.run_manager,
         )
 
         result_gen = await self.pipes.kg_storage_pipe.run(
             input=self.pipes.kg_storage_pipe.Input(message=triples),
+            state=None,
             run_manager=self.run_manager,
         )
 
@@ -76,6 +78,7 @@ async def kg_extract_and_store(
     async def kg_node_creation(self, max_description_input_length: int):
         node_extractions = await self.pipes.kg_node_extraction_pipe.run(
             input=self.pipes.kg_node_extraction_pipe.Input(message=None),
+            state=None,
             run_manager=self.run_manager,
         )
         result_gen = await self.pipes.kg_node_description_pipe.run(
@@ -85,6 +88,7 @@ async def kg_node_creation(self, max_description_input_length: int):
                     "max_description_input_length": max_description_input_length,
                 }
             ),
+            state=None,
             run_manager=self.run_manager,
         )
         return await _collect_results(result_gen)
@@ -98,6 +102,7 @@ async def kg_clustering(self, leiden_params, generation_config):
                     "generation_config": generation_config,
                 }
             ),
+            state=None,
             run_manager=self.run_manager,
         )
 
@@ -120,6 +125,7 @@ async def kg_community_summary(
                     "max_summary_input_length": max_summary_input_length,
                 }
             ),
+            state=None,
             run_manager=self.run_manager,
         )
         return await _collect_results(summary_results)
diff --git a/py/core/main/services/retrieval_service.py b/py/core/main/services/retrieval_service.py
index da55c3806..add854b54 100644
--- a/py/core/main/services/retrieval_service.py
+++ b/py/core/main/services/retrieval_service.py
@@ -14,13 +14,13 @@
     R2RException,
     RunLoggingSingleton,
     RunManager,
+    RunType,
     VectorSearchSettings,
     generate_id_from_label,
     manage_run,
     to_async_generator,
 )
-from core.base.api.models import RAGResponse, SearchResponse
-from core.base.api.models.auth.responses import UserResponse
+from core.base.api.models import RAGResponse, SearchResponse, UserResponse
 from core.telemetry.telemetry_decorator import telemetry_event
 
 from ..abstractions import R2RAgents, R2RPipelines, R2RPipes, R2RProviders
@@ -60,7 +60,7 @@ async def search(
         *args,
         **kwargs,
     ) -> SearchResponse:
-        async with manage_run(self.run_manager, "search_app") as run_id:
+        async with manage_run(self.run_manager, RunType.RETRIEVAL) as run_id:
             t0 = time.time()
 
             if (
@@ -94,14 +94,17 @@ async def search(
             for filter, value in vector_search_settings.filters.items():
                 if isinstance(value, UUID):
                     vector_search_settings.filters[filter] = str(value)
-
+            merged_kwargs = {
+                "input": to_async_generator([query]),
+                "state": None,
+                "vector_search_settings": vector_search_settings,
+                "kg_search_settings": kg_search_settings,
+                "run_manager": self.run_manager,
+                **kwargs,
+            }
             results = await self.pipelines.search_pipeline.run(
-                input=to_async_generator([query]),
-                vector_search_settings=vector_search_settings,
-                kg_search_settings=kg_search_settings,
-                run_manager=self.run_manager,
                 *args,
-                **kwargs,
+                **merged_kwargs,
             )
 
             t1 = time.time()
@@ -113,7 +116,7 @@ async def search(
                 value=latency,
             )
 
-            return results.dict()
+            return results.as_dict()
 
     @telemetry_event("RAG")
     async def rag(
@@ -125,7 +128,7 @@ async def rag(
         *args,
         **kwargs,
     ) -> RAGResponse:
-        async with manage_run(self.run_manager, "rag_app") as run_id:
+        async with manage_run(self.run_manager, RunType.RETRIEVAL) as run_id:
             try:
                 # TODO - Remove these transforms once we have a better way to handle this
                 for (
@@ -158,14 +161,19 @@ async def rag(
                         **kwargs,
                     )
 
+                merged_kwargs = {
+                    "input": to_async_generator([query]),
+                    "state": None,
+                    "vector_search_settings": vector_search_settings,
+                    "kg_search_settings": kg_search_settings,
+                    "run_manager": self.run_manager,
+                    "rag_generation_config": rag_generation_config,
+                    **kwargs,
+                }
+
                 results = await self.pipelines.rag_pipeline.run(
-                    input=to_async_generator([query]),
-                    run_manager=self.run_manager,
-                    vector_search_settings=vector_search_settings,
-                    kg_search_settings=kg_search_settings,
-                    rag_generation_config=rag_generation_config,
                     *args,
-                    **kwargs,
+                    **merged_kwargs,
                 )
 
                 if len(results) == 0:
@@ -221,17 +229,22 @@ async def stream_rag_response(
     ):
         async def stream_response():
             async with manage_run(self.run_manager, "rag"):
+                merged_kwargs = {
+                    "input": to_async_generator([query]),
+                    "state": None,
+                    "run_manager": self.run_manager,
+                    "vector_search_settings": vector_search_settings,
+                    "kg_search_settings": kg_search_settings,
+                    "rag_generation_config": rag_generation_config,
+                    "completion_record": completion_record,
+                    **kwargs,
+                }
+
                 async for (
                     chunk
                 ) in await self.pipelines.streaming_rag_pipeline.run(
-                    input=to_async_generator([query]),
-                    run_manager=self.run_manager,
-                    vector_search_settings=vector_search_settings,
-                    kg_search_settings=kg_search_settings,
-                    rag_generation_config=rag_generation_config,
-                    completion_record=completion_record,
                     *args,
-                    **kwargs,
+                    **merged_kwargs,
                 ):
                     yield chunk
 
@@ -249,7 +262,7 @@ async def agent(
         *args,
         **kwargs,
     ):
-        async with manage_run(self.run_manager, "agent_app") as run_id:
+        async with manage_run(self.run_manager, RunType.RETRIEVAL) as run_id:
             try:
                 t0 = time.time()
 
@@ -403,7 +416,7 @@ def prepare_agent_input(
         user: UserResponse,
     ) -> dict:
         return {
-            "messages": [message.to_dict() for message in messages],
+            "messages": [message.to_dict() for message in messages],  # type: ignore
             "vector_search_settings": vector_search_settings.to_dict(),
             "kg_search_settings": kg_search_settings.to_dict(),
             "rag_generation_config": rag_generation_config.to_dict(),
@@ -416,7 +429,7 @@ def prepare_agent_input(
     def parse_agent_input(data: dict):
         return {
             "messages": [
-                Message.from_dict(message) for message in data["messages"]
+                Message.from_dict(message) for message in data["messages"]  # type: ignore
             ],
             "vector_search_settings": VectorSearchSettings.from_dict(
                 data["vector_search_settings"]
diff --git a/py/core/parsers/media/__init__.py b/py/core/parsers/media/__init__.py
index 81a227459..a56ec64a8 100644
--- a/py/core/parsers/media/__init__.py
+++ b/py/core/parsers/media/__init__.py
@@ -2,7 +2,11 @@
 from .docx_parser import DOCXParser
 from .img_parser import ImageParser
 from .movie_parser import MovieParser
-from .pdf_parser import PDFParser, PDFParserMarker, PDFParserUnstructured
+from .pdf_parser import (  # type: ignore
+    PDFParser,
+    PDFParserMarker,
+    PDFParserUnstructured,
+)
 from .ppt_parser import PPTParser
 
 __all__ = [
diff --git a/py/core/parsers/media/audio_parser.py b/py/core/parsers/media/audio_parser.py
index 2b1017cf8..149b6352c 100644
--- a/py/core/parsers/media/audio_parser.py
+++ b/py/core/parsers/media/audio_parser.py
@@ -3,7 +3,6 @@
 
 from core.base.parsers.base_parser import AsyncParser
 from core.parsers.media.openai_helpers import process_audio_with_openai
-from core.telemetry.telemetry_decorator import telemetry_event
 
 
 class AudioParser(AsyncParser[bytes]):
@@ -15,7 +14,7 @@ def __init__(
         self.api_base = api_base
         self.openai_api_key = os.environ.get("OPENAI_API_KEY")
 
-    async def ingest(
+    async def ingest(  # type: ignore
         self, data: bytes, chunk_size: int = 1024
     ) -> AsyncGenerator[str, None]:
         """Ingest audio data and yield a transcription."""
@@ -24,7 +23,7 @@ async def ingest(
             f.write(data)
         try:
             transcription_text = process_audio_with_openai(
-                open(temp_audio_path, "rb"), self.openai_api_key
+                open(temp_audio_path, "rb"), self.openai_api_key  # type: ignore
             )
 
             # split text into small chunks and yield them
diff --git a/py/core/parsers/media/docx_parser.py b/py/core/parsers/media/docx_parser.py
index 5993328a0..acf471d9a 100644
--- a/py/core/parsers/media/docx_parser.py
+++ b/py/core/parsers/media/docx_parser.py
@@ -1,7 +1,7 @@
 from io import BytesIO
 from typing import AsyncGenerator
 
-from core.base.abstractions.document import DataType
+from core.base.abstractions import DataType
 from core.base.parsers.base_parser import AsyncParser
 
 
@@ -18,7 +18,7 @@ def __init__(self):
                 "Error, `python-docx` is required to run `DOCXParser`. Please install it using `pip install python-docx`."
             )
 
-    async def ingest(self, data: DataType) -> AsyncGenerator[str, None]:
+    async def ingest(self, data: DataType) -> AsyncGenerator[str, None]:  # type: ignore
         """Ingest DOCX data and yield text from each paragraph."""
         if isinstance(data, str):
             raise ValueError("DOCX data must be in bytes format.")
diff --git a/py/core/parsers/media/img_parser.py b/py/core/parsers/media/img_parser.py
index 89facbf39..29aeda54b 100644
--- a/py/core/parsers/media/img_parser.py
+++ b/py/core/parsers/media/img_parser.py
@@ -1,15 +1,11 @@
 import base64
 import logging
 import os
-from io import BytesIO
 from typing import AsyncGenerator
 
-from PIL import Image
-
-from core.base.abstractions.document import DataType
+from core.base.abstractions import DataType
 from core.base.parsers.base_parser import AsyncParser
 from core.parsers.media.openai_helpers import process_frame_with_openai
-from core.telemetry.telemetry_decorator import telemetry_event
 
 logger = logging.getLogger(__name__)
 
@@ -30,7 +26,7 @@ def __init__(
         self.api_base = api_base
         self.max_image_size = max_image_size
 
-    async def ingest(
+    async def ingest(  # type: ignore
         self, data: DataType, chunk_size: int = 1024
     ) -> AsyncGenerator[str, None]:
         """Ingest image data and yield a description."""
@@ -40,8 +36,8 @@ async def ingest(
             data = base64.b64encode(data).decode("utf-8")
 
         openai_text = process_frame_with_openai(
-            data,
-            self.openai_api_key,
+            data,  # type: ignore
+            self.openai_api_key,  # type: ignore
             self.model,
             self.max_tokens,
             self.api_base,
diff --git a/py/core/parsers/media/movie_parser.py b/py/core/parsers/media/movie_parser.py
index 4899b3cf8..b34df4cc5 100644
--- a/py/core/parsers/media/movie_parser.py
+++ b/py/core/parsers/media/movie_parser.py
@@ -46,7 +46,7 @@ def __init__(
                 "Error, environment variable `OPENAI_API_KEY` is required to run `MovieParser`."
             )
 
-    async def ingest(
+    async def ingest(  # type: ignore
         self, data: bytes, chunk_size: int = 1024
     ) -> AsyncGenerator[str, None]:
         """Ingest movie data and yield a description."""
@@ -57,13 +57,13 @@ async def ingest(
             raw_frames, audio_file = self.process_video(temp_video_path)
             for frame in raw_frames:
                 frame_text = process_frame_with_openai(
-                    frame, self.openai_api_key
+                    frame, self.openai_api_key  # type: ignore
                 )
                 yield frame_text
 
             if audio_file:
                 transcription_text = process_audio_with_openai(
-                    audio_file, self.openai_api_key
+                    audio_file, self.openai_api_key  # type: ignore
                 )
                 # split text into small chunks and yield them
                 for i in range(0, len(transcription_text), chunk_size):
diff --git a/py/core/parsers/media/openai_helpers.py b/py/core/parsers/media/openai_helpers.py
index 02d7dcda8..7b3498df9 100644
--- a/py/core/parsers/media/openai_helpers.py
+++ b/py/core/parsers/media/openai_helpers.py
@@ -31,7 +31,7 @@ def process_frame_with_openai(
                     },
                     {
                         "type": "image_url",
-                        "image_url": {"url": f"data:image/jpeg;base64,{data}"},
+                        "image_url": {"url": f"data:image/jpeg;base64,{data}"},  # type: ignore
                     },
                 ],
             }
diff --git a/py/core/parsers/media/pdf_parser.py b/py/core/parsers/media/pdf_parser.py
index bbf0dd53d..e79eca1a1 100644
--- a/py/core/parsers/media/pdf_parser.py
+++ b/py/core/parsers/media/pdf_parser.py
@@ -1,3 +1,4 @@
+# type: ignore
 import asyncio
 import logging
 import string
@@ -5,7 +6,7 @@
 from io import BytesIO
 from typing import AsyncGenerator
 
-from core.base.abstractions.document import DataType
+from core.base.abstractions import DataType
 from core.base.parsers.base_parser import AsyncParser
 
 logger = logging.getLogger(__name__)
diff --git a/py/core/parsers/media/ppt_parser.py b/py/core/parsers/media/ppt_parser.py
index 8ebf130f3..b623752ce 100644
--- a/py/core/parsers/media/ppt_parser.py
+++ b/py/core/parsers/media/ppt_parser.py
@@ -1,7 +1,7 @@
 from io import BytesIO
 from typing import AsyncGenerator
 
-from core.base.abstractions.document import DataType
+from core.base.abstractions import DataType
 from core.base.parsers.base_parser import AsyncParser
 
 
@@ -18,7 +18,7 @@ def __init__(self):
                 "Error, `python-pptx` is required to run `PPTParser`. Please install it using `pip install python-pptx`."
             )
 
-    async def ingest(self, data: DataType) -> AsyncGenerator[str, None]:
+    async def ingest(self, data: DataType) -> AsyncGenerator[str, None]:  # type: ignore
         """Ingest PPT data and yield text from each slide."""
         if isinstance(data, str):
             raise ValueError("PPT data must be in bytes format.")
diff --git a/py/core/parsers/structured/__init__.py b/py/core/parsers/structured/__init__.py
index a44b30662..7f2ce90f1 100644
--- a/py/core/parsers/structured/__init__.py
+++ b/py/core/parsers/structured/__init__.py
@@ -1,3 +1,4 @@
+# type: ignore
 from .csv_parser import CSVParser, CSVParserAdvanced
 from .json_parser import JSONParser
 from .xlsx_parser import XLSXParser, XLSXParserAdvanced
diff --git a/py/core/parsers/structured/csv_parser.py b/py/core/parsers/structured/csv_parser.py
index 2d7b40641..2a075eda8 100644
--- a/py/core/parsers/structured/csv_parser.py
+++ b/py/core/parsers/structured/csv_parser.py
@@ -1,6 +1,7 @@
+# type: ignore
 from typing import IO, AsyncGenerator, Optional, Union
 
-from core.base.abstractions.document import DataType
+from core.base.abstractions import DataType
 from core.base.parsers.base_parser import AsyncParser
 
 
diff --git a/py/core/parsers/structured/json_parser.py b/py/core/parsers/structured/json_parser.py
index 9ade198dd..f2e18e81d 100644
--- a/py/core/parsers/structured/json_parser.py
+++ b/py/core/parsers/structured/json_parser.py
@@ -1,7 +1,8 @@
+# type: ignore
 import json
 from typing import AsyncGenerator
 
-from core.base.abstractions.document import DataType
+from core.base.abstractions import DataType
 from core.base.parsers.base_parser import AsyncParser
 
 
diff --git a/py/core/parsers/structured/xlsx_parser.py b/py/core/parsers/structured/xlsx_parser.py
index a95d9d66d..502370708 100644
--- a/py/core/parsers/structured/xlsx_parser.py
+++ b/py/core/parsers/structured/xlsx_parser.py
@@ -1,7 +1,8 @@
+# type: ignore
 from io import BytesIO
 from typing import AsyncGenerator
 
-from core.base.abstractions.document import DataType
+from core.base.abstractions import DataType
 from core.base.parsers.base_parser import AsyncParser
 
 
diff --git a/py/core/parsers/text/__init__.py b/py/core/parsers/text/__init__.py
index 0d88dcb31..8f85d0461 100644
--- a/py/core/parsers/text/__init__.py
+++ b/py/core/parsers/text/__init__.py
@@ -1,3 +1,4 @@
+# type: ignore
 from .html_parser import HTMLParser
 from .md_parser import MDParser
 from .text_parser import TextParser
diff --git a/py/core/parsers/text/html_parser.py b/py/core/parsers/text/html_parser.py
index a0f209439..61b59cf20 100644
--- a/py/core/parsers/text/html_parser.py
+++ b/py/core/parsers/text/html_parser.py
@@ -1,8 +1,9 @@
+# type: ignore
 from typing import AsyncGenerator
 
 from bs4 import BeautifulSoup
 
-from core.base.abstractions.document import DataType
+from core.base.abstractions import DataType
 from core.base.parsers.base_parser import AsyncParser
 
 
diff --git a/py/core/parsers/text/md_parser.py b/py/core/parsers/text/md_parser.py
index efe129ac9..47c003057 100644
--- a/py/core/parsers/text/md_parser.py
+++ b/py/core/parsers/text/md_parser.py
@@ -1,8 +1,9 @@
+# type: ignore
 from typing import AsyncGenerator
 
 from bs4 import BeautifulSoup
 
-from core.base.abstractions.document import DataType
+from core.base.abstractions import DataType
 from core.base.parsers.base_parser import AsyncParser
 
 
diff --git a/py/core/parsers/text/text_parser.py b/py/core/parsers/text/text_parser.py
index 7dbe9ac10..999eaace4 100644
--- a/py/core/parsers/text/text_parser.py
+++ b/py/core/parsers/text/text_parser.py
@@ -1,6 +1,7 @@
+# type: ignore
 from typing import AsyncGenerator
 
-from core.base.abstractions.document import DataType
+from core.base.abstractions import DataType
 from core.base.parsers.base_parser import AsyncParser
 
 
diff --git a/py/core/pipelines/rag_pipeline.py b/py/core/pipelines/rag_pipeline.py
index dc6604fbf..809acdb12 100644
--- a/py/core/pipelines/rag_pipeline.py
+++ b/py/core/pipelines/rag_pipeline.py
@@ -2,9 +2,12 @@
 import logging
 from typing import Any, Optional
 
-from ..base.abstractions.llm import GenerationConfig
-from ..base.abstractions.search import KGSearchSettings, VectorSearchSettings
-from ..base.api.models.auth.responses import UserResponse
+from ..base.abstractions import (
+    GenerationConfig,
+    KGSearchSettings,
+    VectorSearchSettings,
+)
+from ..base.logging import RunType
 from ..base.logging.run_logger import RunLoggingSingleton
 from ..base.logging.run_manager import RunManager, manage_run
 from ..base.pipeline.base_pipeline import AsyncPipeline
@@ -23,13 +26,13 @@ def __init__(
         run_manager: Optional[RunManager] = None,
     ):
         super().__init__(pipe_logger, run_manager)
-        self._search_pipeline = None
-        self._rag_pipeline = None
+        self._search_pipeline: Optional[AsyncPipeline] = None
+        self._rag_pipeline: Optional[AsyncPipeline] = None
 
-    async def run(
+    async def run(  # type: ignore
         self,
         input: Any,
-        state: Optional[AsyncState] = None,
+        state: Optional[AsyncState],
         run_manager: Optional[RunManager] = None,
         vector_search_settings: VectorSearchSettings = VectorSearchSettings(),
         kg_search_settings: KGSearchSettings = KGSearchSettings(),
@@ -37,8 +40,16 @@ async def run(
         *args: Any,
         **kwargs: Any,
     ):
+        if not self._rag_pipeline:
+            raise ValueError(
+                "`_rag_pipeline` must be set before running the RAG pipeline"
+            )
         self.state = state or AsyncState()
-        async with manage_run(run_manager):
+        # TODO - This feels anti-pattern.
+        run_manager = (
+            run_manager or self.run_manager or RunManager(self.pipe_logger)
+        )
+        async with manage_run(run_manager, RunType.RETRIEVAL):
             if not self._search_pipeline:
                 raise ValueError(
                     "`_search_pipeline` must be set before running the RAG pipeline"
@@ -47,16 +58,19 @@ async def run(
             async def multi_query_generator(input):
                 tasks = []
                 async for query in input:
+                    input_kwargs = {
+                        **kwargs,
+                        "vector_search_settings": vector_search_settings,
+                        "kg_search_settings": kg_search_settings,
+                    }
                     task = asyncio.create_task(
                         self._search_pipeline.run(
                             to_async_generator([query]),
-                            state=state,
-                            stream=False,
-                            run_manager=run_manager,
-                            vector_search_settings=vector_search_settings,
-                            kg_search_settings=kg_search_settings,
+                            state,
+                            False,
+                            run_manager,
                             *args,
-                            **kwargs,
+                            **input_kwargs,
                         )
                     )
                     tasks.append((query, task))
@@ -64,14 +78,18 @@ async def multi_query_generator(input):
                 for query, task in tasks:
                     yield (query, await task)
 
+            input_kwargs = {
+                **kwargs,
+                "rag_generation_config": rag_generation_config,
+            }
+
             rag_results = await self._rag_pipeline.run(
-                input=multi_query_generator(input),
-                state=state,
-                stream=rag_generation_config.stream,
-                run_manager=run_manager,
-                rag_generation_config=rag_generation_config,
+                multi_query_generator(input),
+                state,
+                rag_generation_config.stream,
+                run_manager,
                 *args,
-                **kwargs,
+                **input_kwargs,
             )
             return rag_results
 
diff --git a/py/core/pipelines/search_pipeline.py b/py/core/pipelines/search_pipeline.py
index a9b3b3819..e763646d6 100644
--- a/py/core/pipelines/search_pipeline.py
+++ b/py/core/pipelines/search_pipeline.py
@@ -3,7 +3,7 @@
 from asyncio import Queue
 from typing import Any, Optional
 
-from ..base.abstractions.search import (
+from ..base.abstractions import (
     AggregateSearchResult,
     KGSearchSettings,
     VectorSearchSettings,
@@ -25,14 +25,14 @@ def __init__(
         run_manager: Optional[RunManager] = None,
     ):
         super().__init__(pipe_logger, run_manager)
-        self._parsing_pipe = None
-        self._vector_search_pipeline = None
-        self._kg_search_pipeline = None
+        self._parsing_pipe: Optional[AsyncPipe] = None
+        self._vector_search_pipeline: Optional[AsyncPipeline] = None
+        self._kg_search_pipeline: Optional[AsyncPipeline] = None
 
-    async def run(
+    async def run(  # type: ignore
         self,
         input: Any,
-        state: Optional[AsyncState] = None,
+        state: Optional[AsyncState],
         stream: bool = False,
         run_manager: Optional[RunManager] = None,
         vector_search_settings: VectorSearchSettings = VectorSearchSettings(),
@@ -51,8 +51,8 @@ async def run(
         )
         run_manager = run_manager or self.run_manager
         async with manage_run(run_manager):
-            vector_search_queue = Queue()
-            kg_queue = Queue()
+            vector_search_queue: Queue[str] = Queue()
+            kg_queue: Queue[str] = Queue()
 
             async def enqueue_requests():
                 async for message in input:
@@ -69,6 +69,9 @@ async def enqueue_requests():
 
             # Start the embedding and KG pipelines in parallel
             if use_vector_search:
+                if not self._vector_search_pipeline:
+                    raise ValueError("Vector search pipeline not found")
+
                 vector_search_task = asyncio.create_task(
                     self._vector_search_pipeline.run(
                         dequeue_requests(vector_search_queue),
@@ -82,6 +85,8 @@ async def enqueue_requests():
                 )
 
             if do_kg:
+                if not self._kg_search_pipeline:
+                    raise ValueError("KG search pipeline not found")
                 kg_task = asyncio.create_task(
                     self._kg_search_pipeline.run(
                         dequeue_requests(kg_queue),
@@ -120,12 +125,22 @@ def add_pipe(
         if kg_extraction_pipe:
             if not self._kg_search_pipeline:
                 self._kg_search_pipeline = AsyncPipeline()
+            if not self._kg_search_pipeline:
+                raise ValueError(
+                    "KG search pipeline not found"
+                )  # for type hinting
+
             self._kg_search_pipeline.add_pipe(
                 pipe, add_upstream_outputs, *args, **kwargs
             )
         elif vector_search_pipe:
             if not self._vector_search_pipeline:
                 self._vector_search_pipeline = AsyncPipeline()
+            if not self._vector_search_pipeline:
+                raise ValueError(
+                    "Vector search pipeline not found"
+                )  # for type hinting
+
             self._vector_search_pipeline.add_pipe(
                 pipe, add_upstream_outputs, *args, **kwargs
             )
diff --git a/py/core/pipes/__init__.py b/py/core/pipes/__init__.py
index e02574bd2..88bd1149e 100644
--- a/py/core/pipes/__init__.py
+++ b/py/core/pipes/__init__.py
@@ -1,3 +1,4 @@
+from .abstractions.generator_pipe import GeneratorPipe
 from .abstractions.search_pipe import SearchPipe
 from .ingestion.chunking_pipe import ChunkingPipe
 from .ingestion.embedding_pipe import EmbeddingPipe
@@ -8,7 +9,6 @@
 from .kg.extraction import KGTriplesExtractionPipe
 from .kg.node_extraction import KGNodeDescriptionPipe, KGNodeExtractionPipe
 from .kg.storage import KGStoragePipe
-from .other.web_search_pipe import WebSearchPipe
 from .retrieval.kg_search_pipe import KGSearchSearchPipe
 from .retrieval.multi_search import MultiSearchPipe
 from .retrieval.query_transform_pipe import QueryTransformPipe
@@ -19,6 +19,7 @@
 
 __all__ = [
     "SearchPipe",
+    "GeneratorPipe",
     "EmbeddingPipe",
     "KGTriplesExtractionPipe",
     "KGNodeExtractionPipe",
@@ -31,7 +32,6 @@
     "StreamingSearchRAGPipe",
     "VectorSearchPipe",
     "VectorStoragePipe",
-    "WebSearchPipe",
     "KGStoragePipe",
     "KGClusteringPipe",
     "MultiSearchPipe",
diff --git a/py/core/pipes/abstractions/generator_pipe.py b/py/core/pipes/abstractions/generator_pipe.py
index edc230dc0..d45eb1146 100644
--- a/py/core/pipes/abstractions/generator_pipe.py
+++ b/py/core/pipes/abstractions/generator_pipe.py
@@ -5,16 +5,17 @@
 from core.base import (
     AsyncState,
     CompletionProvider,
+    CompletionRecord,
     PipeType,
     PromptProvider,
     RunLoggingSingleton,
 )
-from core.base.abstractions.llm import GenerationConfig
+from core.base.abstractions import GenerationConfig
 from core.base.pipes.base_pipe import AsyncPipe
 
 
 class GeneratorPipe(AsyncPipe):
-    class Config(AsyncPipe.PipeConfig):
+    class PipeConfig(AsyncPipe.PipeConfig):
         name: str
         task_prompt: str
         system_prompt: str = "default_system"
@@ -23,16 +24,16 @@ def __init__(
         self,
         llm_provider: CompletionProvider,
         prompt_provider: PromptProvider,
+        config: AsyncPipe.PipeConfig,
         type: PipeType = PipeType.GENERATOR,
-        config: Optional[Config] = None,
         pipe_logger: Optional[RunLoggingSingleton] = None,
         *args,
         **kwargs,
     ):
         super().__init__(
-            type=type,
-            config=config or self.Config(),
-            pipe_logger=pipe_logger,
+            config,
+            type,
+            pipe_logger,
             *args,
             **kwargs,
         )
@@ -46,6 +47,7 @@ async def _run_logic(
         state: AsyncState,
         run_id: UUID,
         rag_generation_config: GenerationConfig,
+        completion_record: Optional[CompletionRecord] = None,
         *args: Any,
         **kwargs: Any,
     ) -> AsyncGenerator[Any, None]:
diff --git a/py/core/pipes/abstractions/search_pipe.py b/py/core/pipes/abstractions/search_pipe.py
index 905a737b3..567e7811a 100644
--- a/py/core/pipes/abstractions/search_pipe.py
+++ b/py/core/pipes/abstractions/search_pipe.py
@@ -14,7 +14,7 @@
 logger = logging.getLogger(__name__)
 
 
-class SearchPipe(AsyncPipe):
+class SearchPipe(AsyncPipe[VectorSearchResult]):
     class SearchConfig(AsyncPipe.PipeConfig):
         name: str = "default_vector_search"
         filters: dict = {}
@@ -25,16 +25,16 @@ class Input(AsyncPipe.Input):
 
     def __init__(
         self,
-        pipe_logger: Optional[RunLoggingSingleton] = None,
+        config: AsyncPipe.PipeConfig,
         type: PipeType = PipeType.SEARCH,
-        config: Optional[AsyncPipe.PipeConfig] = None,
+        pipe_logger: Optional[RunLoggingSingleton] = None,
         *args,
         **kwargs,
     ):
         super().__init__(
-            pipe_logger=pipe_logger,
-            type=type,
-            config=config,
+            config,
+            type,
+            pipe_logger,
             *args,
             **kwargs,
         )
@@ -43,8 +43,7 @@ def __init__(
     async def search(
         self,
         query: str,
-        filters: dict[str, Any] = {},
-        limit: int = 10,
+        search_settings: Any,
         *args: Any,
         **kwargs: Any,
     ) -> AsyncGenerator[VectorSearchResult, None]:
@@ -53,7 +52,7 @@ async def search(
     @abstractmethod
     async def _run_logic(
         self,
-        input: Input,
+        input: AsyncPipe.Input,
         state: AsyncState,
         run_id: UUID,
         *args: Any,
diff --git a/py/core/pipes/ingestion/chunking_pipe.py b/py/core/pipes/ingestion/chunking_pipe.py
index 41da6ef44..f5777d988 100644
--- a/py/core/pipes/ingestion/chunking_pipe.py
+++ b/py/core/pipes/ingestion/chunking_pipe.py
@@ -1,14 +1,14 @@
 import logging
-from typing import Any, AsyncGenerator, Optional, Union
+from typing import Any, AsyncGenerator, Optional
+from uuid import UUID
 
 from core.base import (
     AsyncState,
-    ChunkingConfig,
     ChunkingProvider,
     DocumentExtraction,
     DocumentFragment,
     PipeType,
-    R2RDocumentProcessingError,
+    R2RChunkingConfig,
     RunLoggingSingleton,
     generate_id_from_label,
 )
@@ -18,36 +18,35 @@
 logger = logging.getLogger(__name__)
 
 
-class ChunkingPipe(AsyncPipe):
+class ChunkingPipe(AsyncPipe[DocumentFragment]):
     class Input(AsyncPipe.Input):
         message: list[DocumentExtraction]
 
     def __init__(
         self,
         chunking_provider: ChunkingProvider,
+        config: AsyncPipe.PipeConfig,
         pipe_logger: Optional[RunLoggingSingleton] = None,
         type: PipeType = PipeType.INGESTOR,
-        config: Optional[AsyncPipe.PipeConfig] = None,
         *args,
         **kwargs,
     ):
         super().__init__(
-            pipe_logger=pipe_logger,
-            type=type,
-            config=config
-            or AsyncPipe.PipeConfig(name="default_chunking_pipe"),
+            config,
+            type,
+            pipe_logger,
             *args,
             **kwargs,
         )
         self.default_chunking_provider = (
-            chunking_provider or R2RChunkingProvider(ChunkingConfig())
+            chunking_provider or R2RChunkingProvider(R2RChunkingConfig())
         )
 
-    async def _run_logic(
+    async def _run_logic(  # type: ignore
         self,
-        input: Input,
-        state: Optional[AsyncState],
-        run_id: Any,
+        input: AsyncPipe.Input,
+        state: AsyncState,
+        run_id: UUID,
         *args: Any,
         **kwargs: Any,
     ) -> AsyncGenerator[DocumentFragment, None]:
@@ -60,8 +59,7 @@ async def _run_logic(
         unstr_iteration = 0  # unstructured already chunks
         for item in input.message:
             iteration = 0
-            async for chunk in chunking_provider.chunk(item):
-
+            async for chunk in chunking_provider.chunk(item):  # type: ignore
                 if item.metadata.get("partitioned_by_unstructured", False):
                     item.metadata["chunk_order"] = unstr_iteration
                     unstr_iteration += 1
diff --git a/py/core/pipes/ingestion/embedding_pipe.py b/py/core/pipes/ingestion/embedding_pipe.py
index 8dc4df30e..03a543608 100644
--- a/py/core/pipes/ingestion/embedding_pipe.py
+++ b/py/core/pipes/ingestion/embedding_pipe.py
@@ -17,7 +17,7 @@
 logger = logging.getLogger(__name__)
 
 
-class EmbeddingPipe(AsyncPipe):
+class EmbeddingPipe(AsyncPipe[VectorEntry]):
     """
     Embeds fragments using a specified embedding model.
     """
@@ -28,25 +28,24 @@ class Input(AsyncPipe.Input):
     def __init__(
         self,
         embedding_provider: EmbeddingProvider,
+        config: AsyncPipe.PipeConfig,
         embedding_batch_size: int = 1,
         pipe_logger: Optional[RunLoggingSingleton] = None,
         type: PipeType = PipeType.INGESTOR,
-        config: Optional[AsyncPipe.PipeConfig] = None,
         *args,
         **kwargs,
     ):
         super().__init__(
-            pipe_logger=pipe_logger,
-            type=type,
-            config=config
-            or AsyncPipe.PipeConfig(name="default_embedding_pipe"),
+            config,
+            type,
+            pipe_logger,
         )
         self.embedding_provider = embedding_provider
         self.embedding_batch_size = embedding_batch_size
 
     async def embed(self, fragments: list[DocumentFragment]) -> list[float]:
         return await self.embedding_provider.async_get_embeddings(
-            [fragment.data for fragment in fragments],
+            [fragment.data for fragment in fragments],  # type: ignore
             EmbeddingProvider.PipeStage.BASE,
         )
 
@@ -62,7 +61,7 @@ async def _process_batch(
                 user_id=fragment.user_id,
                 collection_ids=fragment.collection_ids,
                 vector=Vector(data=raw_vector),
-                text=fragment.data,
+                text=fragment.data,  # type: ignore
                 metadata={
                     **fragment.metadata,
                 },
@@ -70,14 +69,19 @@ async def _process_batch(
             for raw_vector, fragment in zip(vectors, fragment_batch)
         ]
 
-    async def _run_logic(
+    async def _run_logic(  # type: ignore
         self,
-        input: Input,
-        state: Optional[AsyncState],
+        input: AsyncPipe.Input,
+        state: AsyncState,
         run_id: Any,
         *args: Any,
         **kwargs: Any,
     ) -> AsyncGenerator[VectorEntry, None]:
+
+        if not isinstance(input, EmbeddingPipe.Input):
+            raise ValueError(
+                f"Invalid input type for embedding pipe: {type(input)}"
+            )
         fragment_batch = []
         batch_size = self.embedding_batch_size
         concurrent_limit = (
@@ -109,8 +113,8 @@ async def process_batch(batch):
             if fragment_batch:
                 tasks.add(asyncio.create_task(process_batch(fragment_batch)))
 
-            for task in asyncio.as_completed(tasks):
-                for vector_entry in await task:
+            for future_task in asyncio.as_completed(tasks):
+                for vector_entry in await future_task:
                     yield vector_entry
         finally:
             # Ensure all tasks are completed
@@ -132,6 +136,11 @@ async def _process_fragment(
         self, fragment: DocumentFragment
     ) -> Union[VectorEntry, R2RDocumentProcessingError]:
         try:
+            if isinstance(fragment.data, bytes):
+                raise ValueError(
+                    "Fragment data is in bytes format, which is not supported by the embedding provider."
+                )
+
             vectors = await self.embedding_provider.async_get_embeddings(
                 [fragment.data],
                 EmbeddingProvider.PipeStage.BASE,
diff --git a/py/core/pipes/ingestion/parsing_pipe.py b/py/core/pipes/ingestion/parsing_pipe.py
index 22ebef44b..539186c11 100644
--- a/py/core/pipes/ingestion/parsing_pipe.py
+++ b/py/core/pipes/ingestion/parsing_pipe.py
@@ -12,7 +12,7 @@
     RunLoggingSingleton,
     generate_id_from_label,
 )
-from core.base.abstractions.exception import R2RDocumentProcessingError
+from core.base.abstractions import R2RDocumentProcessingError
 from core.base.pipes.base_pipe import AsyncPipe
 
 logger = logging.getLogger(__name__)
@@ -26,17 +26,16 @@ def __init__(
         self,
         parsing_provider: ParsingProvider,
         file_provider: FileProvider,
-        pipe_logger: Optional[RunLoggingSingleton] = None,
+        config: AsyncPipe.PipeConfig,
         type: PipeType = PipeType.INGESTOR,
-        config: Optional[AsyncPipe.PipeConfig] = None,
+        pipe_logger: Optional[RunLoggingSingleton] = None,
         *args,
         **kwargs,
     ):
         super().__init__(
-            pipe_logger=pipe_logger,
-            type=type,
-            config=config
-            or AsyncPipe.PipeConfig(name="default_document_parsing_pipe"),
+            config,
+            type,
+            pipe_logger,
             *args,
             **kwargs,
         )
@@ -50,14 +49,13 @@ async def _parse(
         version: str,
     ) -> AsyncGenerator[DocumentExtraction, None]:
         try:
-            file_name, file_wrapper, file_size = (
-                await self.file_provider.retrieve_file(document.id)
-            )
+            if result := await self.file_provider.retrieve_file(document.id):
+                file_name, file_wrapper, file_size = result
 
             with file_wrapper as file_content_stream:
                 file_content = file_content_stream.read()
 
-            async for extraction in self.parsing_provider.parse(
+            async for extraction in self.parsing_provider.parse(  # type: ignore
                 file_content, document
             ):
                 extraction_id = generate_id_from_label(
@@ -72,10 +70,10 @@ async def _parse(
                 error_message=f"Error parsing document: {str(e)}",
             )
 
-    async def _run_logic(
+    async def _run_logic(  # type: ignore
         self,
-        input: Input,
-        state: Optional[AsyncState],
+        input: AsyncPipe.Input,
+        state: AsyncState,
         run_id: UUID,
         *args,
         **kwargs,
diff --git a/py/core/pipes/ingestion/vector_storage_pipe.py b/py/core/pipes/ingestion/vector_storage_pipe.py
index 8667b3d1e..b7c8ead03 100644
--- a/py/core/pipes/ingestion/vector_storage_pipe.py
+++ b/py/core/pipes/ingestion/vector_storage_pipe.py
@@ -1,6 +1,5 @@
-import asyncio
 import logging
-from typing import Any, AsyncGenerator, Optional, Tuple, Union
+from typing import Any, AsyncGenerator, Optional
 from uuid import UUID
 
 from core.base import (
@@ -11,23 +10,22 @@
     StorageResult,
     VectorEntry,
 )
-from core.base.abstractions.exception import R2RDocumentProcessingError
 from core.base.pipes.base_pipe import AsyncPipe
 
 logger = logging.getLogger(__name__)
 
 
-class VectorStoragePipe(AsyncPipe):
+class VectorStoragePipe(AsyncPipe[StorageResult]):
     class Input(AsyncPipe.Input):
         message: list[VectorEntry]
 
     def __init__(
         self,
         database_provider: DatabaseProvider,
+        config: AsyncPipe.PipeConfig,
         storage_batch_size: int = 128,
         pipe_logger: Optional[RunLoggingSingleton] = None,
         type: PipeType = PipeType.INGESTOR,
-        config: Optional[AsyncPipe.PipeConfig] = None,
         *args,
         **kwargs,
     ):
@@ -35,9 +33,9 @@ def __init__(
         Initializes the async vector storage pipe with necessary components and configurations.
         """
         super().__init__(
-            pipe_logger=pipe_logger,
-            type=type,
-            config=config,
+            config,
+            type,
+            pipe_logger,
             *args,
             **kwargs,
         )
@@ -61,18 +59,16 @@ async def store(
             logger.error(error_message)
             raise ValueError(error_message)
 
-    async def _run_logic(
+    async def _run_logic(  # type: ignore
         self,
-        input: Input,
-        state: Optional[AsyncState],
+        input: AsyncPipe.Input,
+        state: AsyncState,
         run_id: UUID,
         *args: Any,
         **kwargs: Any,
-    ) -> AsyncGenerator[
-        Tuple[UUID, Union[str, R2RDocumentProcessingError]], None
-    ]:
+    ) -> AsyncGenerator[StorageResult, None]:
         vector_batch = []
-        document_counts = {}
+        document_counts: dict[UUID, int] = {}
 
         for msg in input.message:
             vector_batch.append(msg)
diff --git a/py/core/pipes/kg/clustering.py b/py/core/pipes/kg/clustering.py
index e39570a03..9aa8ad312 100644
--- a/py/core/pipes/kg/clustering.py
+++ b/py/core/pipes/kg/clustering.py
@@ -1,4 +1,3 @@
-import json
 import logging
 from typing import Any, AsyncGenerator, Optional
 from uuid import UUID
@@ -6,16 +5,13 @@
 from core.base import (
     AsyncPipe,
     AsyncState,
-    Community,
     CompletionProvider,
     EmbeddingProvider,
-    Entity,
     GenerationConfig,
     KGProvider,
     PipeType,
     PromptProvider,
     RunLoggingSingleton,
-    Triple,
 )
 
 logger = logging.getLogger(__name__)
@@ -32,9 +28,9 @@ def __init__(
         llm_provider: CompletionProvider,
         prompt_provider: PromptProvider,
         embedding_provider: EmbeddingProvider,
+        config: AsyncPipe.PipeConfig,
         pipe_logger: Optional[RunLoggingSingleton] = None,
         type: PipeType = PipeType.OTHER,
-        config: Optional[AsyncPipe.PipeConfig] = None,
         *args,
         **kwargs,
     ):
@@ -61,7 +57,7 @@ async def cluster_kg(
         """
 
         num_communities, num_hierarchies, intermediate_communities = (
-            self.kg_provider.perform_graph_clustering(leiden_params)
+            self.kg_provider.perform_graph_clustering(leiden_params)  # type: ignore
         )
 
         logger.info(
@@ -74,7 +70,7 @@ async def cluster_kg(
             "intermediate_communities": intermediate_communities,
         }
 
-    async def _run_logic(
+    async def _run_logic(  # type: ignore
         self,
         input: AsyncPipe.Input,
         state: AsyncState,
@@ -87,7 +83,11 @@ async def _run_logic(
         """
 
         leiden_params = input.message["leiden_params"]
+        if not leiden_params:
+            raise ValueError("Leiden parameters not provided.")
         generation_config = input.message["generation_config"]
+        if not generation_config:
+            raise ValueError("Generation config not provided.")
 
         base_dimension = self.embedding_provider.config.base_dimension
         vector_index_fn = self.kg_provider.create_vector_index
diff --git a/py/core/pipes/kg/community_summary.py b/py/core/pipes/kg/community_summary.py
index f90510036..d93adfaef 100644
--- a/py/core/pipes/kg/community_summary.py
+++ b/py/core/pipes/kg/community_summary.py
@@ -32,9 +32,9 @@ def __init__(
         llm_provider: CompletionProvider,
         prompt_provider: PromptProvider,
         embedding_provider: EmbeddingProvider,
+        config: AsyncPipe.PipeConfig,
         pipe_logger: Optional[RunLoggingSingleton] = None,
         type: PipeType = PipeType.OTHER,
-        config: Optional[AsyncPipe.PipeConfig] = None,
         *args,
         **kwargs,
     ):
@@ -54,7 +54,6 @@ def __init__(
 
     def community_summary_prompt(
         self,
-        prompt: str,
         entities: list[Entity],
         triples: list[Triple],
         max_summary_input_length: int,
@@ -63,17 +62,26 @@ def community_summary_prompt(
         Preparing the list of entities and triples to be summarized and created into a community summary.
         """
         entities_info = "\n".join(
-            [f"{entity.name}, {entity.description}" for entity in entities]
+            [
+                f"{entity.id}, {entity.name}, {entity.description}"
+                for entity in entities
+            ]
         )
 
         triples_info = "\n".join(
             [
-                f"{triple.subject}, {triple.object}, {triple.predicate}, {triple.description}"
+                f"{triple.id}, {triple.subject}, {triple.object}, {triple.predicate}, {triple.description}"
                 for triple in triples
             ]
         )
 
-        prompt = prompt.format(entities=entities_info, triples=triples_info)
+        prompt = f"""
+        Entities:
+        {entities_info}
+
+        Relationships:
+        {triples_info}
+        """
 
         if len(prompt) > max_summary_input_length:
             logger.info(
@@ -92,24 +100,6 @@ async def process_community(
     ) -> dict:
         """
         Process a community by summarizing it and creating a summary embedding and storing it to a neo4j database.
-
-        Input:
-        - level: The level of the hierarchy.
-        - community_id: The ID of the community to process.
-
-        Output:
-        - A dictionary with the community id and the title of the community.
-        - Output format: {"id": community_id, "title": title}
-        """
-
-        input_text = """
-
-            Entities:
-            {entities}
-
-            Triples:
-            {triples}
-
         """
 
         logger.info(
@@ -117,22 +107,24 @@ async def process_community(
         )
 
         entities, triples = (
-            self.kg_provider.get_community_entities_and_triples(
+            self.kg_provider.get_community_entities_and_triples(  # type: ignore
                 level=level, community_id=community_id
             )
         )
 
         if entities == [] or triples == []:
-            return None
+            # TODO - Does this logic work well with the full workflow?
+            raise ValueError(
+                f"Community {community_id} at level {level} has no entities or triples."
+            )
 
         description = (
             (
                 await self.llm_provider.aget_completion(
                     messages=self.prompt_provider._get_message_payload(
-                        task_prompt_name="graphrag_community_reports",
+                        task_prompt_name=self.kg_provider.config.kg_enrichment_settings.community_reports_prompt,
                         task_inputs={
                             "input_text": self.community_summary_prompt(
-                                input_text,
                                 entities,
                                 triples,
                                 max_summary_input_length,
@@ -146,6 +138,11 @@ async def process_community(
             .message.content
         )
 
+        if not description:
+            raise ValueError(
+                f"Failed to generate a summary for community {community_id} at level {level}."
+            )
+
         community = Community(
             id=str(community_id),
             level=str(level),
@@ -155,7 +152,7 @@ async def process_community(
             ),
         )
 
-        self.kg_provider.upsert_communities([community])
+        self.kg_provider.upsert_communities([community])  # type: ignore
 
         try:
             summary = json.loads(community.summary)
@@ -164,7 +161,7 @@ async def process_community(
 
         return {"id": community.id, "title": summary["title"]}
 
-    async def _run_logic(
+    async def _run_logic(  # type: ignore
         self,
         input: AsyncPipe.Input,
         state: AsyncState,
@@ -181,11 +178,16 @@ async def _run_logic(
         generation_config = input.message["generation_config"]
         max_summary_input_length = input.message["max_summary_input_length"]
 
-        community_summary = await self.process_community(
-            level=level,
-            community_id=community_id,
-            max_summary_input_length=max_summary_input_length,
-            generation_config=generation_config,
-        )
+        try:
+            community_summary = await self.process_community(
+                level=level,
+                community_id=community_id,
+                max_summary_input_length=max_summary_input_length,
+                generation_config=generation_config,
+            )
 
-        yield community_summary
+            yield community_summary
+        except Exception as e:
+            error_message = f"Failed to process community {community_id} at level {level}: {e}"
+            logger.error(error_message)
+            raise ValueError(error_message)
diff --git a/py/core/pipes/kg/extraction.py b/py/core/pipes/kg/extraction.py
index a30f5b731..80b47bd46 100644
--- a/py/core/pipes/kg/extraction.py
+++ b/py/core/pipes/kg/extraction.py
@@ -36,7 +36,9 @@ class ClientError(Exception):
     pass
 
 
-class KGTriplesExtractionPipe(AsyncPipe):
+class KGTriplesExtractionPipe(
+    AsyncPipe[Union[KGExtraction, R2RDocumentProcessingError]]
+):
     """
     Extracts knowledge graph information from document extractions.
     """
@@ -51,12 +53,12 @@ def __init__(
         llm_provider: CompletionProvider,
         prompt_provider: PromptProvider,
         chunking_provider: ChunkingProvider,
+        config: AsyncPipe.PipeConfig,
         kg_batch_size: int = 1,
         graph_rag: bool = True,
         id_prefix: str = "demo",
         pipe_logger: Optional[RunLoggingSingleton] = None,
         type: PipeType = PipeType.INGESTOR,
-        config: Optional[AsyncPipe.PipeConfig] = None,
         *args,
         **kwargs,
     ):
@@ -76,11 +78,6 @@ def __init__(
         self.pipe_run_info = None
         self.graph_rag = graph_rag
 
-    def map_to_str(self, fragments: list[DocumentFragment]) -> str:
-        # convert fragment to dict object
-        fragment = json.loads(json.dumps(fragment))
-        return fragment
-
     async def extract_kg(
         self,
         fragments: list[DocumentFragment],
@@ -88,17 +85,18 @@ async def extract_kg(
         max_knowledge_triples: int,
         entity_types: list[str],
         relation_types: list[str],
-        retries: int = 3,
+        retries: int = 5,
         delay: int = 2,
     ) -> KGExtraction:
         """
         Extracts NER triples from a fragment with retries.
         """
+
         # combine all fragments into a single string
-        combined_fragment = " ".join([fragment.data for fragment in fragments])
+        combined_fragment: str = " ".join([fragment.data for fragment in fragments])  # type: ignore
 
         messages = self.prompt_provider._get_message_payload(
-            task_prompt_name=self.kg_provider.config.kg_extraction_prompt,
+            task_prompt_name=self.kg_provider.config.kg_creation_settings.kg_extraction_prompt,
             task_inputs={
                 "input": combined_fragment,
                 "max_knowledge_triples": max_knowledge_triples,
@@ -116,6 +114,12 @@ async def extract_kg(
 
                 kg_extraction = response.choices[0].message.content
 
+                if not kg_extraction:
+                    raise R2RException(
+                        "No knowledge graph extraction found in the response string, the selected LLM likely failed to format it's response correctly.",
+                        400,
+                    )
+
                 entity_pattern = (
                     r'\("entity"\${4}([^$]+)\${4}([^$]+)\${4}([^$]+)\)'
                 )
@@ -130,9 +134,13 @@ def parse_fn(response_str: str) -> Any:
                         and len(entities) == 0
                     ):
                         raise R2RException(
-                            "No entities found in the response string, the selected LLM likely failed to format it's response correctly.",
+                            f"No entities found in the response string, the selected LLM likely failed to format it's response correctly. {response_str}",
                             400,
                         )
+                        # logger.warning(
+                        #     f"No entities found in the response string, the selected LLM likely failed to format it's response correctly. {response_str}",
+                        # )
+
                     relationships = re.findall(
                         relationship_pattern, response_str
                     )
@@ -164,7 +172,6 @@ def parse_fn(response_str: str) -> Any:
                         # check if subject and object are in entities_dict
                         relations_arr.append(
                             Triple(
-                                id=str(uuid.uuid4()),
                                 subject=subject,
                                 predicate=predicate,
                                 object=object,
@@ -203,8 +210,7 @@ def parse_fn(response_str: str) -> Any:
                     logger.error(
                         f"Failed after retries with for fragment {fragments[0].id} of document {fragments[0].document_id}: {e}"
                     )
-                    raise e
-
+                    # raise e # you should raise an error.
         # add metadata to entities and triples
 
         return KGExtraction(
@@ -214,7 +220,7 @@ def parse_fn(response_str: str) -> Any:
             triples=[],
         )
 
-    async def _run_logic(
+    async def _run_logic(  # type: ignore
         self,
         input: Input,
         state: AsyncState,
@@ -244,7 +250,9 @@ async def _run_logic(
             )
             for extraction in self.database_provider.vector.get_document_chunks(
                 document_id=document_id
-            )
+            )[
+                "results"
+            ]
         ]
 
         # sort the fragments accroding to chunk_order field in metadata in ascending order
diff --git a/py/core/pipes/kg/node_extraction.py b/py/core/pipes/kg/node_extraction.py
index c39958784..1e98963fa 100644
--- a/py/core/pipes/kg/node_extraction.py
+++ b/py/core/pipes/kg/node_extraction.py
@@ -15,7 +15,6 @@
     PromptProvider,
     RunLoggingSingleton,
 )
-from core.base.abstractions.graph import Entity, Triple
 from core.base.pipes.base_pipe import AsyncPipe
 
 logger = logging.getLogger(__name__)
@@ -34,23 +33,22 @@ def __init__(
         kg_provider: KGProvider,
         llm_provider: CompletionProvider,
         prompt_provider: PromptProvider,
+        config: AsyncPipe.PipeConfig,
         pipe_logger: Optional[RunLoggingSingleton] = None,
         type: PipeType = PipeType.OTHER,
-        config: Optional[AsyncPipe.PipeConfig] = None,
         *args,
         **kwargs,
     ):
         super().__init__(
             pipe_logger=pipe_logger,
             type=type,
-            config=config
-            or AsyncPipe.PipeConfig(name="kg_node_extraction_pipe"),
+            config=config,
         )
         self.kg_provider = kg_provider
         self.llm_provider = llm_provider
         self.prompt_provider = prompt_provider
 
-    async def _run_logic(
+    async def _run_logic(  # type: ignore
         self,
         input: Input,
         state: AsyncState,
@@ -59,7 +57,7 @@ async def _run_logic(
         **kwargs,
     ) -> AsyncGenerator[Any, None]:
 
-        nodes = self.kg_provider.get_entity_map()
+        nodes = self.kg_provider.get_entity_map()  # type: ignore
 
         for _, node_info in nodes.items():
             for entity in node_info["entities"]:
@@ -81,25 +79,24 @@ def __init__(
         kg_provider: KGProvider,
         llm_provider: CompletionProvider,
         embedding_provider: EmbeddingProvider,
+        config: AsyncPipe.PipeConfig,
         pipe_logger: Optional[RunLoggingSingleton] = None,
         type: PipeType = PipeType.OTHER,
-        config: Optional[AsyncPipe.PipeConfig] = None,
         *args,
         **kwargs,
     ):
         super().__init__(
             pipe_logger=pipe_logger,
             type=type,
-            config=config
-            or AsyncPipe.PipeConfig(name="kg_node_description_pipe"),
+            config=config,
         )
         self.kg_provider = kg_provider
         self.llm_provider = llm_provider
         self.embedding_provider = embedding_provider
 
-    async def _run_logic(
+    async def _run_logic(  # type: ignore
         self,
-        input: Input,
+        input: AsyncPipe.Input,
         state: AsyncState,
         run_id: UUID,
         *args: Any,
diff --git a/py/core/pipes/kg/storage.py b/py/core/pipes/kg/storage.py
index 160a66890..1f51a68dc 100644
--- a/py/core/pipes/kg/storage.py
+++ b/py/core/pipes/kg/storage.py
@@ -1,6 +1,6 @@
 import asyncio
 import logging
-from typing import Any, AsyncGenerator, List, Optional, Tuple
+from typing import Any, AsyncGenerator, List, Optional
 from uuid import UUID
 
 from core.base import (
@@ -24,11 +24,11 @@ class Input(AsyncPipe.Input):
     def __init__(
         self,
         kg_provider: KGProvider,
+        config: AsyncPipe.PipeConfig,
         embedding_provider: Optional[EmbeddingProvider] = None,
         storage_batch_size: int = 1,
         pipe_logger: Optional[RunLoggingSingleton] = None,
         type: PipeType = PipeType.INGESTOR,
-        config: Optional[AsyncPipe.PipeConfig] = None,
         *args,
         **kwargs,
     ):
@@ -40,9 +40,9 @@ def __init__(
         )
 
         super().__init__(
-            pipe_logger=pipe_logger,
-            type=type,
-            config=config,
+            config,
+            type,
+            pipe_logger,
             *args,
             **kwargs,
         )
@@ -53,7 +53,7 @@ def __init__(
     async def store(
         self,
         kg_extractions: list[KGExtraction],
-    ) -> Tuple[int, int]:
+    ) -> None:
         """
         Stores a batch of knowledge graph extractions in the graph database.
         """
@@ -66,7 +66,7 @@ async def store(
             logger.error(error_message)
             raise ValueError(error_message)
 
-    async def _run_logic(
+    async def _run_logic(  # type: ignore
         self,
         input: Input,
         state: AsyncState,
@@ -79,7 +79,7 @@ async def _run_logic(
         """
 
         batch_tasks = []
-        kg_batch = []
+        kg_batch: list[KGExtraction] = []
         errors = []
 
         async for kg_extraction in input.message:
@@ -87,7 +87,7 @@ async def _run_logic(
                 errors.append(kg_extraction)
                 continue
 
-            kg_batch.append(kg_extraction)
+            kg_batch.append(kg_extraction)  # type: ignore
             if len(kg_batch) >= self.storage_batch_size:
                 # Schedule the storage task
                 batch_tasks.append(
diff --git a/py/core/pipes/other/web_search_pipe.py b/py/core/pipes/other/web_search_pipe.py
deleted file mode 100644
index ee3e6ab2d..000000000
--- a/py/core/pipes/other/web_search_pipe.py
+++ /dev/null
@@ -1,114 +0,0 @@
-import json
-import logging
-import uuid
-from typing import Any, AsyncGenerator, Optional
-
-from core.base import (
-    AsyncPipe,
-    AsyncState,
-    PipeType,
-    VectorSearchResult,
-    generate_id_from_label,
-)
-from core.integrations import SerperClient
-
-from ..abstractions.search_pipe import SearchPipe
-
-logger = logging.getLogger(__name__)
-
-
-class WebSearchPipe(SearchPipe):
-    def __init__(
-        self,
-        serper_client: SerperClient,
-        type: PipeType = PipeType.SEARCH,
-        config: Optional[SearchPipe.SearchConfig] = None,
-        *args,
-        **kwargs,
-    ):
-        super().__init__(
-            type=type,
-            config=config or SearchPipe.SearchConfig(),
-            *args,
-            **kwargs,
-        )
-        self.serper_client = serper_client
-
-    async def search(
-        self,
-        message: str,
-        run_id: uuid.UUID,
-        *args: Any,
-        **kwargs: Any,
-    ) -> AsyncGenerator[VectorSearchResult, None]:
-        search_limit_override = kwargs.get("search_limit", None)
-        await self.enqueue_log(
-            run_id=run_id, key="search_query", value=message
-        )
-        # TODO - Make more general in the future by creating a SearchProvider interface
-        results = self.serper_client.get_raw(
-            query=message,
-            limit=search_limit_override or self.config.search_limit,
-        )
-
-        search_results = []
-        for result in results:
-            if result.get("snippet") is None:
-                continue
-            text = result.pop("snippet")
-            search_result = VectorSearchResult(
-                fragment_id=generate_id_from_label(str(result)),
-                extraction_id=uuid.uuid5(
-                    uuid.NAMESPACE_DNS, str(uuid.uuid4())
-                ),  # Generate a new UUID for extraction_id
-                document_id=uuid.uuid5(
-                    uuid.NAMESPACE_DNS, str(uuid.uuid4())
-                ),  # Generate a new UUID for document_id
-                user_id=None,  # Web search results don't have a user_id
-                collection_ids=[],  # Web search results don't belong to any collection
-                score=result.get(
-                    "score", 0
-                ),  # TODO - Consider dynamically generating scores based on similarity
-                text=text,
-                metadata=result,
-            )
-            search_results.append(search_result)
-            yield search_result
-
-        await self.enqueue_log(
-            run_id=run_id,
-            key="search_results",
-            value=json.dumps([ele.json() for ele in search_results]),
-        )
-
-    async def _run_logic(
-        self,
-        input: AsyncPipe.Input,
-        state: AsyncState,
-        run_id: uuid.UUID,
-        *args: Any,
-        **kwargs,
-    ) -> AsyncGenerator[VectorSearchResult, None]:
-        search_queries = []
-        search_results = []
-        async for search_request in input.message:
-            search_queries.append(search_request)
-            async for result in self.search(
-                message=search_request, run_id=run_id, *args, **kwargs
-            ):
-                search_results.append(result)
-                yield result
-
-        await state.update(
-            self.config.name, {"output": {"search_results": search_results}}
-        )
-
-        await state.update(
-            self.config.name,
-            {
-                "output": {
-                    "search_queries": search_queries,
-                    "search_results": search_results,
-                }
-            },
-        )
diff --git a/py/core/pipes/retrieval/kg_search_pipe.py b/py/core/pipes/retrieval/kg_search_pipe.py
index ca890751d..461edca76 100644
--- a/py/core/pipes/retrieval/kg_search_pipe.py
+++ b/py/core/pipes/retrieval/kg_search_pipe.py
@@ -1,7 +1,7 @@
 import asyncio
 import json
 import logging
-from typing import Any, Optional, AsyncGenerator
+from typing import Any, AsyncGenerator, Optional
 from uuid import UUID
 
 from core.base import (
@@ -9,20 +9,20 @@
     CompletionProvider,
     EmbeddingProvider,
     KGProvider,
-    KGSearchSettings,
     PipeType,
     PromptProvider,
-    R2RException,
     RunLoggingSingleton,
 )
-from core.base.abstractions.search import (
-    KGSearchResult,
+from core.base.abstractions import (
+    KGCommunityResult,
+    KGEntityResult,
     KGGlobalResult,
+    KGRelationshipResult,
     KGSearchMethod,
+    KGSearchResult,
     KGSearchResultType,
-    KGEntityResult,
-    KGRelationshipResult,
-    KGCommunityResult,
+    KGSearchSettings,
+    R2RException,
 )
 
 from ..abstractions.generator_pipe import GeneratorPipe
@@ -41,9 +41,9 @@ def __init__(
         llm_provider: CompletionProvider,
         prompt_provider: PromptProvider,
         embedding_provider: EmbeddingProvider,
+        config: GeneratorPipe.PipeConfig,
         pipe_logger: Optional[RunLoggingSingleton] = None,
         type: PipeType = PipeType.INGESTOR,
-        config: Optional[GeneratorPipe.PipeConfig] = None,
         *args,
         **kwargs,
     ):
@@ -51,14 +51,11 @@ def __init__(
         Initializes the embedding pipe with necessary components and configurations.
         """
         super().__init__(
-            llm_provider=llm_provider,
-            prompt_provider=prompt_provider,
-            type=type,
-            config=config
-            or GeneratorPipe.Config(
-                name="kg_rag_pipe", task_prompt="kg_search"
-            ),
-            pipe_logger=pipe_logger,
+            llm_provider,
+            prompt_provider,
+            config,
+            type,
+            pipe_logger,
             *args,
             **kwargs,
         )
@@ -123,7 +120,7 @@ async def local_search(
 
             # entity search
             search_type = "__Entity__"
-            async for search_result in self.kg_provider.vector_query(
+            async for search_result in self.kg_provider.vector_query(  # type: ignore
                 input,
                 search_type=search_type,
                 search_type_limits=kg_search_settings.local_search_limits[
@@ -137,7 +134,6 @@ async def local_search(
                     "document_ids",
                 ],
             ):
-                print(search_result)
                 yield KGSearchResult(
                     content=KGEntityResult(
                         name=search_result["name"],
@@ -152,7 +148,7 @@ async def local_search(
 
             # relationship search
             search_type = "__Relationship__"
-            async for search_result in self.kg_provider.vector_query(
+            async for search_result in self.kg_provider.vector_query(  # type: ignore
                 input,
                 search_type=search_type,
                 search_type_limits=kg_search_settings.local_search_limits[
@@ -180,7 +176,7 @@ async def local_search(
 
             # community search
             search_type = "__Community__"
-            async for search_result in self.kg_provider.vector_query(
+            async for search_result in self.kg_provider.vector_query(  # type: ignore
                 input,
                 search_type=search_type,
                 search_type_limits=kg_search_settings.local_search_limits[
@@ -195,16 +191,24 @@ async def local_search(
 
                 # try loading it as a json
                 try:
+
+                    if "```json" in summary:
+                        summary = (
+                            summary.strip()
+                            .removeprefix("```json")
+                            .removesuffix("```")
+                            .strip()
+                        )
+
                     summary_json = json.loads(summary)
                     description = summary_json.get("summary", "")
                     name = summary_json.get("title", "")
 
-                    description += "\n\n" + "\n".join(
-                        [
-                            finding["summary"]
-                            for finding in summary_json.get("findings", [])
-                        ]
-                    )
+                    def get_str(finding):
+                        if isinstance(finding, dict):
+                            return f"{finding['summary']} => {finding['explanation']}"
+                        else:
+                            return str(finding)
 
                 except json.JSONDecodeError:
                     logger.warning(f"Summary is not valid JSON")
@@ -216,7 +220,10 @@ async def local_search(
                     ),
                     method=KGSearchMethod.LOCAL,
                     result_type=KGSearchResultType.COMMUNITY,
-                    metadata={"associated_query": message},
+                    metadata={
+                        "associated_query": message,
+                        "findings": summary_json.get("findings", ""),
+                    },
                 )
 
     async def global_search(
@@ -231,7 +238,7 @@ async def global_search(
         # map reduce
         async for message in input.message:
             map_responses = []
-            communities = self.kg_provider.get_communities(
+            communities = self.kg_provider.get_communities(  # type: ignore
                 level=kg_search_settings.kg_search_level
             )
 
@@ -258,13 +265,13 @@ async def preprocess_communities(communities):
             async def process_community(merged_report):
                 output = await self.llm_provider.aget_completion(
                     messages=self.prompt_provider._get_message_payload(
-                        task_prompt_name="graphrag_map_system_prompt",
+                        task_prompt_name=self.kg_provider.config.kg_search_settings.graphrag_map_system_prompt,
                         task_inputs={
                             "context_data": merged_report,
                             "input": message,
                         },
                     ),
-                    generation_config=kg_search_settings.kg_search_generation_config,
+                    generation_config=kg_search_settings.generation_config,
                 )
 
                 return output.choices[0].message.content
@@ -293,27 +300,34 @@ async def process_community(merged_report):
             # reducing the outputs
             output = await self.llm_provider.aget_completion(
                 messages=self.prompt_provider._get_message_payload(
-                    task_prompt_name="graphrag_reduce_system_prompt",
+                    task_prompt_name=self.kg_provider.config.kg_search_settings.graphrag_reduce_system_prompt,
                     task_inputs={
                         "response_type": "multiple paragraphs",
                         "report_data": filtered_responses,
                         "input": message,
                     },
                 ),
-                generation_config=kg_search_settings.kg_search_generation_config,
+                generation_config=kg_search_settings.generation_config,
             )
 
-            output = output.choices[0].message.content
+            output_text = output.choices[0].message.content
+
+            if not output_text:
+                logger.warning(f"No output generated for query: {message}.")
+                raise R2RException(
+                    "No output generated for query.",
+                    400,
+                )
 
             yield KGSearchResult(
                 content=KGGlobalResult(
-                    name="Global Result", description=output
+                    name="Global Result", description=output_text
                 ),
                 method=KGSearchMethod.GLOBAL,
-                metadata={'associated_query': message},
+                metadata={"associated_query": message},
             )
 
-    async def _run_logic(
+    async def _run_logic(  # type: ignore
         self,
         input: GeneratorPipe.Input,
         state: AsyncState,
@@ -325,14 +339,15 @@ async def _run_logic(
 
         kg_search_type = kg_search_settings.kg_search_type
 
-        if kg_search_type == "local":
+        # runs local and/or global search
+        if kg_search_type == "local" or kg_search_type == "local_and_global":
             logger.info("Performing KG local search")
             async for result in self.local_search(
                 input, state, run_id, kg_search_settings
             ):
                 yield result
 
-        else:
+        if kg_search_type == "global" or kg_search_type == "local_and_global":
             logger.info("Performing KG global search")
             async for result in self.global_search(
                 input, state, run_id, kg_search_settings
diff --git a/py/core/pipes/retrieval/multi_search.py b/py/core/pipes/retrieval/multi_search.py
index 658588c61..ae93ea542 100644
--- a/py/core/pipes/retrieval/multi_search.py
+++ b/py/core/pipes/retrieval/multi_search.py
@@ -7,7 +7,7 @@
     VectorSearchResult,
     VectorSearchSettings,
 )
-from core.base.pipes.base_pipe import AsyncPipe
+from core.base.pipes.base_pipe import AsyncPipe, PipeType
 
 from ..abstractions.search_pipe import SearchPipe
 from .query_transform_pipe import QueryTransformPipe
@@ -25,23 +25,29 @@ def __init__(
         self,
         query_transform_pipe: QueryTransformPipe,
         inner_search_pipe: SearchPipe,
-        config: Optional[PipeConfig] = None,
+        config: PipeConfig,
         *args,
         **kwargs,
     ):
         self.query_transform_pipe = query_transform_pipe
         self.vector_search_pipe = inner_search_pipe
 
+        config = config or MultiSearchPipe.PipeConfig(
+            name=query_transform_pipe.config.name
+        )
         super().__init__(
-            config=config
-            or MultiSearchPipe.PipeConfig(
-                name=query_transform_pipe.config.name
-            ),
+            config,
+            PipeType.SEARCH,
             *args,
             **kwargs,
         )
+        self._config: MultiSearchPipe.PipeConfig = config  # for type hinting
+
+    @property
+    def config(self) -> PipeConfig:
+        return self._config
 
-    async def _run_logic(
+    async def _run_logic(  # type: ignore
         self,
         input: Any,
         state: Any,
@@ -83,7 +89,7 @@ async def _run_logic(
                 results.append(search_result)
 
             # Collection results by their associated queries
-            grouped_results = {}
+            grouped_results: dict[str, list[VectorSearchResult]] = {}
             for result in results:
                 query = result.metadata["associated_query"]
                 if query not in grouped_results:
@@ -106,18 +112,19 @@ async def _run_logic(
     def reciprocal_rank_fusion(
         self, all_results: Dict[str, List[VectorSearchResult]]
     ) -> List[VectorSearchResult]:
-        document_scores = {}
-        document_results = {}
-        document_queries = {}
+        document_scores: dict[UUID, float] = {}
+        document_results: dict[UUID, VectorSearchResult] = {}
+        document_queries: dict[UUID, set[str]] = {}
         for query, results in all_results.items():
             for rank, result in enumerate(results, 1):
                 doc_id = result.fragment_id
                 if doc_id not in document_scores:
                     document_scores[doc_id] = 0
                     document_results[doc_id] = result
-                    document_queries[doc_id] = set()
+                    set_: set[str] = set()
+                    document_queries[doc_id] = set_
                 document_scores[doc_id] += 1 / (rank + self.config.rrf_k)
-                document_queries[doc_id].add(query)
+                document_queries[doc_id].add(query)  # type: ignore
 
         # Sort documents by their RRF score
         sorted_docs = sorted(
@@ -132,7 +139,7 @@ def reciprocal_rank_fusion(
                 rrf_score  # Replace the original score with the RRF score
             )
             result.metadata["associated_queries"] = list(
-                document_queries[doc_id]
+                document_queries[doc_id]  # type: ignore
             )  # Add list of associated queries
             result.metadata["is_rrf_score"] = True
             if "associated_query" in result.metadata:
diff --git a/py/core/pipes/retrieval/query_transform_pipe.py b/py/core/pipes/retrieval/query_transform_pipe.py
index f689aa76b..138a3bf5a 100644
--- a/py/core/pipes/retrieval/query_transform_pipe.py
+++ b/py/core/pipes/retrieval/query_transform_pipe.py
@@ -1,5 +1,5 @@
 import logging
-from typing import Any, AsyncGenerator, Optional
+from typing import Any, AsyncGenerator
 from uuid import UUID
 
 from core.base import (
@@ -9,7 +9,7 @@
     PipeType,
     PromptProvider,
 )
-from core.base.abstractions.llm import GenerationConfig
+from core.base.abstractions import GenerationConfig
 
 from ..abstractions.generator_pipe import GeneratorPipe
 
@@ -29,22 +29,27 @@ def __init__(
         self,
         llm_provider: CompletionProvider,
         prompt_provider: PromptProvider,
+        config: QueryTransformConfig,
         type: PipeType = PipeType.TRANSFORM,
-        config: Optional[QueryTransformConfig] = None,
         *args,
         **kwargs,
     ):
         logger.info(f"Initalizing an `QueryTransformPipe` pipe.")
         super().__init__(
-            llm_provider=llm_provider,
-            prompt_provider=prompt_provider,
-            type=type,
-            config=config or QueryTransformPipe.QueryTransformConfig(),
+            llm_provider,
+            prompt_provider,
+            config,
+            type,
             *args,
             **kwargs,
         )
+        self._config: QueryTransformPipe.QueryTransformConfig = config
 
-    async def _run_logic(
+    @property
+    def config(self) -> QueryTransformConfig:  # type: ignore
+        return self._config
+
+    async def _run_logic(  # type: ignore
         self,
         input: AsyncPipe.Input,
         state: AsyncState,
@@ -75,6 +80,9 @@ async def _run_logic(
                 generation_config=query_transform_generation_config,
             )
             content = response.choices[0].message.content
+            if not content:
+                logger.error(f"Failed to transform query: {query}. Skipping.")
+                raise ValueError(f"Failed to transform query: {query}.")
             outputs = content.split("\n")
             outputs = [
                 output.strip() for output in outputs if output.strip() != ""
diff --git a/py/core/pipes/retrieval/routing_search_pipe.py b/py/core/pipes/retrieval/routing_search_pipe.py
index 926270659..72d7b7e2d 100644
--- a/py/core/pipes/retrieval/routing_search_pipe.py
+++ b/py/core/pipes/retrieval/routing_search_pipe.py
@@ -1,4 +1,4 @@
-from typing import Any, AsyncGenerator, Dict, Optional, Type
+from typing import Any, AsyncGenerator, Dict
 from uuid import UUID
 
 from core.base import (
@@ -8,25 +8,21 @@
     VectorSearchSettings,
 )
 
-from ..abstractions.search_pipe import SearchPipe
 
-
-class RoutingSearchPipe(SearchPipe):
+class RoutingSearchPipe(AsyncPipe):
     def __init__(
         self,
-        search_pipes: Dict[str, SearchPipe],
+        search_pipes: Dict[str, AsyncPipe],
         default_strategy: str,
-        config: Optional[SearchPipe.SearchConfig] = None,
+        config: AsyncPipe.PipeConfig,
         *args,
         **kwargs,
     ):
-        super().__init__(
-            config=config or SearchPipe.SearchConfig(), *args, **kwargs
-        )
+        super().__init__(config, *args, **kwargs)
         self.search_pipes = search_pipes
         self.default_strategy = default_strategy
 
-    async def _run_logic(
+    async def _run_logic(  # type: ignore
         self,
         input: AsyncPipe.Input,
         state: AsyncState,
@@ -38,8 +34,12 @@ async def _run_logic(
         search_pipe = self.search_pipes.get(
             vector_search_settings.search_strategy
         )
+        if not search_pipe:
+            raise ValueError(
+                f"Search strategy {vector_search_settings.search_strategy} not found"
+            )
 
-        async for result in search_pipe._run_logic(
+        async for result in search_pipe._run_logic(  # type: ignore
             input,
             state,
             run_id,
diff --git a/py/core/pipes/retrieval/search_rag_pipe.py b/py/core/pipes/retrieval/search_rag_pipe.py
index 869114411..11bf10add 100644
--- a/py/core/pipes/retrieval/search_rag_pipe.py
+++ b/py/core/pipes/retrieval/search_rag_pipe.py
@@ -1,4 +1,5 @@
 from typing import Any, AsyncGenerator, Optional, Tuple
+from uuid import UUID
 
 from core.base import (
     AggregateSearchResult,
@@ -9,7 +10,7 @@
     PipeType,
     PromptProvider,
 )
-from core.base.abstractions.llm import GenerationConfig, RAGCompletion
+from core.base.abstractions import GenerationConfig, RAGCompletion
 
 from ..abstractions.generator_pipe import GeneratorPipe
 
@@ -22,33 +23,35 @@ def __init__(
         self,
         llm_provider: CompletionProvider,
         prompt_provider: PromptProvider,
+        config: GeneratorPipe.PipeConfig,
         type: PipeType = PipeType.GENERATOR,
-        config: Optional[GeneratorPipe] = None,
         *args,
         **kwargs,
     ):
         super().__init__(
-            llm_provider=llm_provider,
-            prompt_provider=prompt_provider,
-            type=type,
-            config=config
-            or GeneratorPipe.Config(
-                name="default_rag_pipe", task_prompt="default_rag"
-            ),
+            llm_provider,
+            prompt_provider,
+            config,
+            type,
             *args,
             **kwargs,
         )
+        self._config: GeneratorPipe.PipeConfig = config
 
-    async def _run_logic(
+    @property
+    def config(self) -> GeneratorPipe.PipeConfig:  # for type hiting
+        return self._config
+
+    async def _run_logic(  # type: ignore
         self,
         input: Input,
         state: AsyncState,
+        run_id: UUID,
         rag_generation_config: GenerationConfig,
         completion_record: Optional[CompletionRecord] = None,
         *args: Any,
         **kwargs: Any,
     ) -> AsyncGenerator[RAGCompletion, None]:
-        run_id = kwargs.get("run_id")
         context = ""
         search_iteration = 1
         total_results = 0
@@ -74,10 +77,13 @@ async def _run_logic(
         yield RAGCompletion(completion=response, search_results=search_results)
 
         if run_id:
+            content = response.choices[0].message.content
+            if not content:
+                raise ValueError("Response content is empty")
             await self.enqueue_log(
                 run_id=run_id,
                 key="llm_response",
-                value=response.choices[0].message.content,
+                value=content,
             )
 
     async def _collect_context(
@@ -101,9 +107,10 @@ async def _collect_context(
             context += f"Knowledge Graph ({iteration}):\n"
             it = total_results + 1
             for search_results in results.kg_search_results:  # [1]:
-                context += (
-                    f"Query: {search_results.metadata['associated_query']}\n\n"
-                )
+                if associated_query := search_results.metadata.get(
+                    "associated_query"
+                ):
+                    context += f"Query: {associated_query}\n\n"
                 context += f"Results:\n"
                 for search_result in search_results:
                     context += f"[{it}]: {search_result}\n\n"
diff --git a/py/core/pipes/retrieval/streaming_rag_pipe.py b/py/core/pipes/retrieval/streaming_rag_pipe.py
index 64160dbae..9f9d3cd47 100644
--- a/py/core/pipes/retrieval/streaming_rag_pipe.py
+++ b/py/core/pipes/retrieval/streaming_rag_pipe.py
@@ -1,4 +1,3 @@
-import json
 import logging
 from datetime import datetime
 from typing import Any, AsyncGenerator, Generator, Optional
@@ -11,17 +10,17 @@
     LLMChatCompletionChunk,
     PipeType,
     PromptProvider,
+    format_search_results_for_llm,
     format_search_results_for_stream,
 )
-from core.base.abstractions.llm import GenerationConfig
+from core.base.abstractions import GenerationConfig
 
 from ..abstractions.generator_pipe import GeneratorPipe
-from .search_rag_pipe import SearchRAGPipe
 
 logger = logging.getLogger(__name__)
 
 
-class StreamingSearchRAGPipe(SearchRAGPipe):
+class StreamingSearchRAGPipe(GeneratorPipe):
     VECTOR_SEARCH_STREAM_MARKER = (
         "search"  # TODO - change this to vector_search in next major release
     )
@@ -33,38 +32,42 @@ def __init__(
         self,
         llm_provider: CompletionProvider,
         prompt_provider: PromptProvider,
+        config: GeneratorPipe.PipeConfig,
         type: PipeType = PipeType.GENERATOR,
-        config: Optional[GeneratorPipe] = None,
         *args,
         **kwargs,
     ):
         super().__init__(
-            llm_provider=llm_provider,
-            prompt_provider=prompt_provider,
-            type=type,
-            config=config
-            or GeneratorPipe.Config(
-                name="default_streaming_rag_pipe", task_prompt="default_rag"
-            ),
+            llm_provider,
+            prompt_provider,
+            config,
+            type,
             *args,
             **kwargs,
         )
+        self._config: GeneratorPipe.PipeConfig
 
-    async def _run_logic(
+    @property
+    def config(self) -> GeneratorPipe.PipeConfig:
+        return self._config
+
+    async def _run_logic(  # type: ignore
         self,
-        input: SearchRAGPipe.Input,
+        input: GeneratorPipe.Input,
         state: AsyncState,
+        run_id: UUID,
         rag_generation_config: GenerationConfig,
         completion_record: Optional[CompletionRecord] = None,
         *args: Any,
         **kwargs: Any,
     ) -> AsyncGenerator[str, None]:
-        run_id = kwargs.get("run_id")
         context = ""
         async for query, search_results in input.message:
             result = format_search_results_for_stream(search_results)
             yield result
-            context += result
+            gen_context = format_search_results_for_llm(search_results)
+            print("gen_context = ", gen_context)
+            context += gen_context
 
         messages = self.prompt_provider._get_message_payload(
             system_prompt_name=self.config.system_prompt,
@@ -77,12 +80,15 @@ async def _run_logic(
         for chunk in self.llm_provider.get_completion_stream(
             messages=messages, generation_config=rag_generation_config
         ):
-            chunk = StreamingSearchRAGPipe._process_chunk(chunk)
-            response += chunk
-            yield chunk
+            chunk_txt = StreamingSearchRAGPipe._process_chunk(chunk)
+            response += chunk_txt
+            yield chunk_txt
 
         yield f"</{self.COMPLETION_STREAM_MARKER}>"
-
+        if not completion_record:
+            raise ValueError(
+                "Completion record is expected in the streaming RAG pipe and is used for logging."
+            )
         completion_record.search_results = search_results
         completion_record.llm_response = response
         completion_record.completion_end_time = datetime.now()
@@ -93,7 +99,7 @@ async def _yield_chunks(
         start_marker: str,
         chunks: Generator[str, None, None],
         end_marker: str,
-    ) -> str:
+    ) -> AsyncGenerator[str, None]:
         yield start_marker
         for chunk in chunks:
             yield chunk
diff --git a/py/core/pipes/retrieval/vector_search_pipe.py b/py/core/pipes/retrieval/vector_search_pipe.py
index 9c11e2e07..4a374ed68 100644
--- a/py/core/pipes/retrieval/vector_search_pipe.py
+++ b/py/core/pipes/retrieval/vector_search_pipe.py
@@ -1,6 +1,6 @@
 import json
 import logging
-from typing import Any, AsyncGenerator, Optional
+from typing import Any, AsyncGenerator
 from uuid import UUID
 
 from core.base import (
@@ -24,36 +24,38 @@ def __init__(
         self,
         database_provider: DatabaseProvider,
         embedding_provider: EmbeddingProvider,
+        config: SearchPipe.SearchConfig,
         type: PipeType = PipeType.SEARCH,
-        config: Optional[SearchPipe.SearchConfig] = None,
         *args,
         **kwargs,
     ):
         super().__init__(
-            type=type,
-            config=config or SearchPipe.SearchConfig(),
+            config,
+            type,
             *args,
             **kwargs,
         )
         self.embedding_provider = embedding_provider
         self.database_provider = database_provider
 
-    async def search(
+        self._config: SearchPipe.SearchConfig = config
+
+    @property
+    def config(self) -> SearchPipe.SearchConfig:
+        return self._config
+
+    async def search(  # type: ignore
         self,
         message: str,
-        run_id: UUID,
-        vector_search_settings: VectorSearchSettings,
+        search_settings: VectorSearchSettings,
         *args: Any,
         **kwargs: Any,
     ) -> AsyncGenerator[VectorSearchResult, None]:
-        await self.enqueue_log(
-            run_id=run_id, key="search_query", value=message
-        )
-        vector_search_settings.filters = (
-            vector_search_settings.filters or self.config.filters
+        search_settings.filters = (
+            search_settings.filters or self.config.filters
         )
-        vector_search_settings.search_limit = (
-            vector_search_settings.search_limit or self.config.search_limit
+        search_settings.search_limit = (
+            search_settings.search_limit or self.config.search_limit
         )
         results = []
         query_vector = self.embedding_provider.get_embedding(
@@ -64,26 +66,22 @@ async def search(
             self.database_provider.vector.hybrid_search(
                 query_vector=query_vector,
                 query_text=message,
-                search_settings=vector_search_settings,
+                search_settings=search_settings,
             )
-            if vector_search_settings.use_hybrid_search
+            if search_settings.use_hybrid_search
             else self.database_provider.vector.semantic_search(
                 query_vector=query_vector,
-                search_settings=vector_search_settings,
+                search_settings=search_settings,
             )
         )
         reranked_results = self.embedding_provider.rerank(
             query=message,
             results=search_results,
-            limit=vector_search_settings.search_limit,
+            limit=search_settings.search_limit,
         )
-        include_title_if_available = kwargs.get(
-            "include_title_if_available", False
-        )
-        if include_title_if_available:
+        if kwargs.get("include_title_if_available", False):
             for result in reranked_results:
-                title = result.metadata.get("title", None)
-                if title:
+                if title := result.metadata.get("title", None):
                     text = result.text
                     result.text = f"Document Title:{title}\n\nText:{text}"
 
@@ -92,13 +90,7 @@ async def search(
             results.append(result)
             yield result
 
-        await self.enqueue_log(
-            run_id=run_id,
-            key="search_results",
-            value=json.dumps([ele.json() for ele in results]),
-        )
-
-    async def _run_logic(
+    async def _run_logic(  # type: ignore
         self,
         input: AsyncPipe.Input,
         state: AsyncState,
@@ -111,16 +103,25 @@ async def _run_logic(
         search_results = []
         async for search_request in input.message:
             search_queries.append(search_request)
+            await self.enqueue_log(
+                run_id=run_id, key="search_query", value=search_request
+            )
+
             async for result in self.search(
-                message=search_request,
-                run_id=run_id,
-                vector_search_settings=vector_search_settings,
+                search_request,
+                vector_search_settings,
                 *args,
                 **kwargs,
             ):
                 search_results.append(result)
                 yield result
 
+        await self.enqueue_log(
+            run_id=run_id,
+            key="search_results",
+            value=json.dumps([ele.json() for ele in search_results]),
+        )
+
         await state.update(
             self.config.name, {"output": {"search_results": search_results}}
         )
diff --git a/py/core/providers/__init__.py b/py/core/providers/__init__.py
index f4b137b6c..3fd2831fe 100644
--- a/py/core/providers/__init__.py
+++ b/py/core/providers/__init__.py
@@ -1,5 +1,8 @@
 from .auth import R2RAuthProvider
-from .chunking import R2RChunkingProvider, UnstructuredChunkingProvider
+from .chunking import (  # type: ignore
+    R2RChunkingProvider,
+    UnstructuredChunkingProvider,
+)
 from .crypto import BCryptConfig, BCryptProvider
 from .database import PostgresDBProvider
 from .embeddings import (
@@ -18,8 +21,8 @@
     # Auth
     "R2RAuthProvider",
     # Chunking
-    "R2RChunkingProvider",
-    "UnstructuredChunkingProvider",
+    "R2RChunkingProvider",  # type: ignore
+    "UnstructuredChunkingProvider",  # type: ignore
     # Crypto
     "BCryptProvider",
     "BCryptConfig",
diff --git a/py/core/providers/auth/r2r_auth.py b/py/core/providers/auth/r2r_auth.py
index 220add96c..b665fabd5 100644
--- a/py/core/providers/auth/r2r_auth.py
+++ b/py/core/providers/auth/r2r_auth.py
@@ -16,7 +16,10 @@
     Token,
     TokenData,
 )
-from core.base.api.models.auth.responses import UserResponse
+from core.base.api.models import UserResponse
+
+DEFAULT_ACCESS_LIFETIME_IN_MINUTES = 3600
+DEFAULT_REFRESH_LIFETIME_IN_DAYS = 7
 
 logger = logging.getLogger(__name__)
 oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")
@@ -31,7 +34,7 @@ def __init__(
         crypto_provider: CryptoProvider,
         db_provider: DatabaseProvider,
     ):
-        super().__init__(config)
+        super().__init__(config, crypto_provider)
         logger.debug(f"Initializing R2RAuthProvider with config: {config}")
         self.crypto_provider = crypto_provider
         self.db_provider = db_provider
@@ -46,6 +49,7 @@ def __init__(
             config.refresh_token_lifetime_in_days
             or os.getenv("R2R_REFRESH_LIFE_IN_MINUTES")
         )
+        self.config: AuthConfig = config
 
     async def initialize(self):
         try:
@@ -59,7 +63,10 @@ async def initialize(self):
     def create_access_token(self, data: dict) -> str:
         to_encode = data.copy()
         expire = datetime.now(timezone.utc) + timedelta(
-            minutes=self.access_token_lifetime_in_minutes
+            minutes=float(
+                self.access_token_lifetime_in_minutes
+                or DEFAULT_ACCESS_LIFETIME_IN_MINUTES
+            )
         )
         to_encode |= {"exp": expire.timestamp(), "token_type": "access"}
         return jwt.encode(to_encode, self.secret_key, algorithm="HS256")
@@ -67,7 +74,10 @@ def create_access_token(self, data: dict) -> str:
     def create_refresh_token(self, data: dict) -> str:
         to_encode = data.copy()
         expire = datetime.now(timezone.utc) + timedelta(
-            days=self.refresh_token_lifetime_in_days
+            days=float(
+                self.refresh_token_lifetime_in_days
+                or DEFAULT_REFRESH_LIFETIME_IN_DAYS
+            )
         )
         to_encode |= {"exp": expire, "token_type": "refresh"}
         return jwt.encode(to_encode, self.secret_key, algorithm="HS256")
@@ -149,7 +159,9 @@ async def register(self, email: str, password: str) -> Dict[str, str]:
 
         return new_user
 
-    async def verify_email(self, verification_code: str) -> Dict[str, str]:
+    async def verify_email(
+        self, email: str, verification_code: str
+    ) -> dict[str, str]:
         user_id = (
             await self.db_provider.relational.get_user_id_by_verification_code(
                 verification_code
@@ -241,6 +253,14 @@ async def refresh_access_token(
     async def change_password(
         self, user: UserResponse, current_password: str, new_password: str
     ) -> Dict[str, str]:
+        if not isinstance(user.hashed_password, str):
+            logger.error(
+                f"Invalid hashed_password type: {type(user.hashed_password)}"
+            )
+            raise R2RException(
+                status_code=500, message="Invalid password hash in database"
+            )
+
         if not self.crypto_provider.verify_password(
             current_password, user.hashed_password
         ):
diff --git a/py/core/providers/chunking/__init__.py b/py/core/providers/chunking/__init__.py
index 3d74e0c1c..f954e5c21 100644
--- a/py/core/providers/chunking/__init__.py
+++ b/py/core/providers/chunking/__init__.py
@@ -1,3 +1,4 @@
+# type: ignore
 from .r2r_chunking import R2RChunkingProvider
 from .unstructured_chunking import UnstructuredChunkingProvider
 
diff --git a/py/core/providers/chunking/r2r_chunking.py b/py/core/providers/chunking/r2r_chunking.py
index 18a80bc27..0c8f35a0d 100644
--- a/py/core/providers/chunking/r2r_chunking.py
+++ b/py/core/providers/chunking/r2r_chunking.py
@@ -1,3 +1,4 @@
+# type: ignore
 import logging
 from typing import Any, AsyncGenerator, Union
 
@@ -8,7 +9,7 @@
     Strategy,
     TextSplitter,
 )
-from core.base.abstractions.document import DocumentExtraction
+from core.base.abstractions import DocumentExtraction
 
 logger = logging.getLogger(__name__)
 
@@ -54,7 +55,7 @@ def _initialize_text_splitter(self) -> TextSplitter:
         else:
             raise ValueError(f"Unsupported method type: {self.config.method}")
 
-    def validate(self) -> bool:
+    def validate_config(self) -> bool:
         return self.config.chunk_size > 0 and self.config.chunk_overlap >= 0
 
     def update_config(self, config_override: R2RChunkingConfig):
diff --git a/py/core/providers/chunking/unstructured_chunking.py b/py/core/providers/chunking/unstructured_chunking.py
index 2d95ad059..3147b32b0 100644
--- a/py/core/providers/chunking/unstructured_chunking.py
+++ b/py/core/providers/chunking/unstructured_chunking.py
@@ -1,8 +1,9 @@
+# type: ignore
 import logging
 from typing import AsyncGenerator, Union
 
 from core.base import ChunkingProvider, Strategy, UnstructuredChunkingConfig
-from core.base.abstractions.document import DocumentExtraction
+from core.base.abstractions import DocumentExtraction
 
 logger = logging.getLogger(__name__)
 
diff --git a/py/core/providers/crypto/bcrypt.py b/py/core/providers/crypto/bcrypt.py
index d69559de3..1ecb123f6 100644
--- a/py/core/providers/crypto/bcrypt.py
+++ b/py/core/providers/crypto/bcrypt.py
@@ -5,10 +5,11 @@
 
 
 class BCryptConfig(CryptoConfig):
+    provider: str = "bcrypt"
     salt_rounds: int = 12
 
-    def validate(self) -> None:
-        super().validate()
+    def validate_config(self) -> None:  # type: ignore
+        super().validate_config()
         if self.salt_rounds < 4 or self.salt_rounds > 31:
             raise ValueError("salt_rounds must be between 4 and 31")
 
@@ -27,6 +28,7 @@ def __init__(self, config: BCryptConfig):
                 "BCryptProvider must be initialized with a BCryptConfig"
             )
         super().__init__(config)
+        self.config: BCryptConfig = config
 
     def get_password_hash(self, password: str) -> str:
         return self.bcrypt.hashpw(
diff --git a/py/core/providers/database/base.py b/py/core/providers/database/base.py
index f00007a45..d52231f91 100644
--- a/py/core/providers/database/base.py
+++ b/py/core/providers/database/base.py
@@ -1,6 +1,6 @@
-from typing import Any, Optional, Union
+from typing import Any, Optional, Sequence, Union
 
-from sqlalchemy import text
+from sqlalchemy import TextClause, text
 
 from .vecs import Client
 
@@ -8,7 +8,7 @@
 # TODO: This should be defined at the mixin, not here
 def execute_query(
     vx: Client,
-    query: Union[str, text],
+    query: Union[str, TextClause],
     params: Optional[dict[str, Any]] = None,
 ):
     with vx.Session() as sess:
@@ -22,12 +22,12 @@ def execute_query(
 class QueryBuilder:
     def __init__(self, table_name: str):
         self.table_name = table_name
-        self.conditions = []
-        self.params = {}
+        self.conditions: list[str] = []
+        self.params: dict = {}
         self.select_fields = "*"
         self.operation = "SELECT"
-        self.insert_data = None
-        self.limit_value = None
+        self.limit_value: Optional[int] = None
+        self.insert_data: Optional[dict] = None
 
     def select(self, fields: list[str]):
         self.select_fields = ", ".join(fields)
@@ -80,17 +80,23 @@ def _get_table_name(self, base_name: str) -> str:
         raise NotImplementedError("Subclasses must implement this method")
 
     def execute_query(
-        self, query: Union[str, text], params: Optional[dict[str, Any]] = None
+        self,
+        query: Union[str, TextClause],
+        params: Optional[Union[dict[str, Any], Sequence[Any]]] = None,
     ):
         raise NotImplementedError("Subclasses must implement this method")
 
     def fetch_query(
-        self, query: Union[str, text], params: Optional[dict[str, Any]] = None
+        self,
+        query: Union[str, TextClause],
+        params: Optional[Union[dict[str, Any], Sequence[Any]]] = None,
     ):
         raise NotImplementedError("Subclasses must implement this method")
 
     def fetchrow_query(
-        self, query: Union[str, text], params: Optional[dict[str, Any]] = None
+        self,
+        query: Union[str, TextClause],
+        params: Optional[Union[dict[str, Any], Sequence[Any]]] = None,
     ):
         raise NotImplementedError("Subclasses must implement this method")
 
diff --git a/py/core/providers/database/collection.py b/py/core/providers/database/collection.py
index 78d3f77c0..5366812a3 100644
--- a/py/core/providers/database/collection.py
+++ b/py/core/providers/database/collection.py
@@ -1,18 +1,17 @@
 import json
+import logging
 from datetime import datetime
-from typing import Optional
+from typing import Optional, Union
 from uuid import UUID
 
 from core.base import R2RException
 from core.base.abstractions import DocumentInfo, DocumentType, IngestionStatus
-from core.base.api.models.auth.responses import UserResponse
-from core.base.api.models.management.responses import (
-    GroupOverviewResponse,
-    GroupResponse,
-)
+from core.base.api.models import CollectionOverviewResponse, CollectionResponse
 
 from .base import DatabaseMixin
 
+logger = logging.getLogger(__name__)
+
 
 class CollectionMixin(DatabaseMixin):
     async def create_table(self) -> None:
@@ -38,7 +37,7 @@ async def collection_exists(self, collection_id: UUID) -> bool:
 
     async def create_collection(
         self, name: str, description: str = ""
-    ) -> GroupResponse:
+    ) -> CollectionResponse:
         current_time = datetime.utcnow()
         query = f"""
             INSERT INTO {self._get_table_name('collections')} (name, description, created_at, updated_at)
@@ -48,7 +47,7 @@ async def create_collection(
         params = [name, description, current_time, current_time]
 
         try:
-            async with self.pool.acquire() as conn:
+            async with self.pool.acquire() as conn:  # type: ignore
                 row = await conn.fetchrow(query, *params)
 
             if not row:
@@ -56,7 +55,7 @@ async def create_collection(
                     status_code=500, message="Failed to create collection"
                 )
 
-            return GroupResponse(
+            return CollectionResponse(
                 collection_id=row["collection_id"],
                 name=row["name"],
                 description=row["description"],
@@ -69,7 +68,7 @@ async def create_collection(
                 message=f"An error occurred while creating the collection: {str(e)}",
             )
 
-    async def get_collection(self, collection_id: UUID) -> GroupResponse:
+    async def get_collection(self, collection_id: UUID) -> CollectionResponse:
         """Get a collection by its ID."""
         if not await self.collection_exists(collection_id):
             raise R2RException(status_code=404, message="Collection not found")
@@ -83,7 +82,7 @@ async def get_collection(self, collection_id: UUID) -> GroupResponse:
         if not result:
             raise R2RException(status_code=404, message="Collection not found")
 
-        return GroupResponse(
+        return CollectionResponse(
             collection_id=result["collection_id"],
             name=result["name"],
             description=result["description"],
@@ -92,25 +91,44 @@ async def get_collection(self, collection_id: UUID) -> GroupResponse:
         )
 
     async def update_collection(
-        self, collection_id: UUID, name: str, description: str
-    ) -> GroupResponse:
+        self,
+        collection_id: UUID,
+        name: Optional[str] = None,
+        description: Optional[str] = None,
+    ) -> CollectionResponse:
         """Update an existing collection."""
         if not await self.collection_exists(collection_id):
             raise R2RException(status_code=404, message="Collection not found")
 
+        update_fields = []
+        params: list = []
+
+        if name is not None:
+            update_fields.append("name = $1")
+            params.append(name)
+
+        if description is not None:
+            update_fields.append("description = ${}".format(len(params) + 1))
+            params.append(description)
+
+        if not update_fields:
+            raise R2RException(status_code=400, message="No fields to update")
+
+        update_fields.append("updated_at = NOW()")
+        params.append(collection_id)
+
         query = f"""
             UPDATE {self._get_table_name('collections')}
-            SET name = $1, description = $2, updated_at = NOW()
-            WHERE collection_id = $3
+            SET {', '.join(update_fields)}
+            WHERE collection_id = ${len(params)}
             RETURNING collection_id, name, description, created_at, updated_at
         """
-        result = await self.fetchrow_query(
-            query, [name, description, collection_id]
-        )
+
+        result = await self.fetchrow_query(query, params)
         if not result:
             raise R2RException(status_code=404, message="Collection not found")
 
-        return GroupResponse(
+        return CollectionResponse(
             collection_id=result["collection_id"],
             name=result["name"],
             description=result["description"],
@@ -138,21 +156,28 @@ async def delete_collection(self, collection_id: UUID) -> None:
             raise R2RException(status_code=404, message="Collection not found")
 
     async def list_collections(
-        self, offset: int = 0, limit: int = 100
-    ) -> list[GroupResponse]:
+        self, offset: int = 0, limit: int = -1
+    ) -> dict[str, Union[list[CollectionResponse], int]]:
         """List collections with pagination."""
         query = f"""
-            SELECT collection_id, name, description, created_at, updated_at
+            SELECT collection_id, name, description, created_at, updated_at, COUNT(*) OVER() AS total_entries
             FROM {self._get_table_name('collections')}
             ORDER BY name
             OFFSET $1
-            LIMIT $2
         """
-        results = await self.fetch_query(query, [offset, limit])
+
+        conditions = [offset]
+        if limit != -1:
+            query += " LIMIT $2"
+            conditions.append(limit)
+
+        results = await self.fetch_query(query, conditions)
         if not results:
-            return []
-        return [
-            GroupResponse(
+            logger.info("No collections found.")
+            return {"results": [], "total_entries": 0}
+
+        collections = [
+            CollectionResponse(
                 collection_id=row["collection_id"],
                 name=row["name"],
                 description=row["description"],
@@ -161,10 +186,13 @@ async def list_collections(
             )
             for row in results
         ]
+        total_entries = results[0]["total_entries"] if results else 0
+
+        return {"results": collections, "total_entries": total_entries}
 
     async def get_collections_by_ids(
         self, collection_ids: list[UUID]
-    ) -> list[GroupResponse]:
+    ) -> list[CollectionResponse]:
         query = f"""
             SELECT collection_id, name, description, created_at, updated_at
             FROM {self._get_table_name("collections")}
@@ -177,7 +205,7 @@ async def get_collections_by_ids(
                 message=f"These collections were not found: {set(collection_ids) - {row['collection_id'] for row in results}}",
             )
         return [
-            GroupResponse(
+            CollectionResponse(
                 collection_id=row["collection_id"],
                 name=row["name"],
                 description=row["description"],
@@ -187,95 +215,9 @@ async def get_collections_by_ids(
             for row in results
         ]
 
-    async def add_user_to_collection(
-        self, user_id: UUID, collection_id: UUID
-    ) -> bool:
-        """Add a user to a collection."""
-        if not await self.collection_exists(collection_id):
-            raise R2RException(status_code=404, message="Collection not found")
-
-        query = f"""
-            UPDATE {self._get_table_name('users')}
-            SET collection_ids = array_append(collection_ids, $1)
-            WHERE user_id = $2 AND NOT ($1 = ANY(collection_ids))
-            RETURNING user_id
-        """
-        result = await self.fetchrow_query(query, [collection_id, user_id])
-        return bool(result)
-
-    async def remove_user_from_collection(
-        self, user_id: UUID, collection_id: UUID
-    ) -> None:
-        """Remove a user from a collection."""
-        if not await self.collection_exists(collection_id):
-            raise R2RException(status_code=404, message="Collection not found")
-
-        query = f"""
-            UPDATE {self._get_table_name('users')}
-            SET collection_ids = array_remove(collection_ids, $1)
-            WHERE user_id = $2 AND $1 = ANY(collection_ids)
-            RETURNING user_id
-        """
-        result = await self.fetchrow_query(query, [collection_id, user_id])
-        if not result:
-            raise R2RException(
-                status_code=404,
-                message="User is not a member of the specified collection",
-            )
-
-    async def get_users_in_collection(
-        self, collection_id: UUID, offset: int = 0, limit: int = 100
-    ) -> list[UserResponse]:
-        """
-        Get all users in a specific collection with pagination.
-
-        Args:
-            collection_id (UUID): The ID of the collection to get users from.
-            offset (int): The number of users to skip.
-            limit (int): The maximum number of users to return.
-
-        Returns:
-            List[UserResponse]: A list of UserResponse objects representing the users in the collection.
-
-        Raises:
-            R2RException: If the collection doesn't exist.
-        """
-        if not await self.collection_exists(collection_id):
-            raise R2RException(status_code=404, message="Collection not found")
-
-        query = f"""
-            SELECT u.user_id, u.email, u.is_active, u.is_superuser, u.created_at, u.updated_at,
-                u.is_verified, u.collection_ids, u.name, u.bio, u.profile_picture
-            FROM {self._get_table_name('users')} u
-            WHERE $1 = ANY(u.collection_ids)
-            ORDER BY u.name
-            OFFSET $2
-            LIMIT $3
-        """
-        results = await self.fetch_query(query, [collection_id, offset, limit])
-
-        return [
-            UserResponse(
-                id=row["user_id"],
-                email=row["email"],
-                is_active=row["is_active"],
-                is_superuser=row["is_superuser"],
-                created_at=row["created_at"],
-                updated_at=row["updated_at"],
-                is_verified=row["is_verified"],
-                collection_ids=row["collection_ids"],
-                name=row["name"],
-                bio=row["bio"],
-                profile_picture=row["profile_picture"],
-                hashed_password=None,
-                verification_code_expiry=None,
-            )
-            for row in results
-        ]
-
     async def documents_in_collection(
-        self, collection_id: UUID, offset: int = 0, limit: int = 100
-    ) -> list[DocumentInfo]:
+        self, collection_id: UUID, offset: int = 0, limit: int = -1
+    ) -> dict[str, Union[list[DocumentInfo], int]]:
         """
         Get all documents in a specific collection with pagination.
         Args:
@@ -290,15 +232,20 @@ async def documents_in_collection(
         if not await self.collection_exists(collection_id):
             raise R2RException(status_code=404, message="Collection not found")
         query = f"""
-            SELECT d.document_id, d.user_id, d.type, d.metadata, d.title, d.version, d.size_in_bytes, d.ingestion_status, d.created_at, d.updated_at
+            SELECT d.document_id, d.user_id, d.type, d.metadata, d.title, d.version, d.size_in_bytes, d.ingestion_status, d.created_at, d.updated_at, COUNT(*) OVER() AS total_entries
             FROM {self._get_table_name('document_info')} d
             WHERE $1 = ANY(d.collection_ids)
             ORDER BY d.created_at DESC
             OFFSET $2
-            LIMIT $3
         """
-        results = await self.fetch_query(query, [collection_id, offset, limit])
-        return [
+
+        conditions = [collection_id, offset]
+        if limit != -1:
+            query += " LIMIT $3"
+            conditions.append(limit)
+
+        results = await self.fetch_query(query, conditions)
+        documents = [
             DocumentInfo(
                 id=row["document_id"],
                 user_id=row["user_id"],
@@ -314,13 +261,16 @@ async def documents_in_collection(
             )
             for row in results
         ]
+        total_entries = results[0]["total_entries"] if results else 0
+
+        return {"results": documents, "total_entries": total_entries}
 
     async def get_collections_overview(
         self,
         collection_ids: Optional[list[UUID]] = None,
         offset: int = 0,
-        limit: int = 100,
-    ) -> list[GroupOverviewResponse]:
+        limit: int = -1,
+    ) -> dict[str, Union[list[CollectionOverviewResponse], int]]:
         """Get an overview of collections, optionally filtered by collection IDs, with pagination."""
         query = f"""
             WITH collection_overview AS (
@@ -330,27 +280,34 @@ async def get_collections_overview(
                 FROM {self._get_table_name('collections')} g
                 LEFT JOIN {self._get_table_name('users')} u ON g.collection_id = ANY(u.collection_ids)
                 LEFT JOIN {self._get_table_name('document_info')} d ON g.collection_id = ANY(d.collection_ids)
-        """
-        params = []
-        if collection_ids:
-            query += " WHERE g.collection_id = ANY($1)"
-            params.append(collection_ids)
-
-        query += """
+                {' WHERE g.collection_id = ANY($1)' if collection_ids else ''}
                 GROUP BY g.collection_id, g.name, g.description, g.created_at, g.updated_at
+            ),
+            counted_overview AS (
+                SELECT *, COUNT(*) OVER() AS total_entries
+                FROM collection_overview
             )
-            SELECT * FROM collection_overview
+            SELECT * FROM counted_overview
             ORDER BY name
-            OFFSET ${} LIMIT ${}
-        """.format(
-            len(params) + 1, len(params) + 2
-        )
+            OFFSET ${2 if collection_ids else 1}
+            {f'LIMIT ${3 if collection_ids else 2}' if limit != -1 else ''}
+        """
 
-        params.extend([offset, limit])
+        params: list = []
+        if collection_ids:
+            params.append(collection_ids)
+        params.append(offset)
+        if limit != -1:
+            params.append(limit)
 
         results = await self.fetch_query(query, params)
-        return [
-            GroupOverviewResponse(
+
+        if not results:
+            logger.info("No collections found.")
+            return {"results": [], "total_entries": 0}
+
+        collections = [
+            CollectionOverviewResponse(
                 collection_id=row["collection_id"],
                 name=row["name"],
                 description=row["description"],
@@ -362,22 +319,31 @@ async def get_collections_overview(
             for row in results
         ]
 
+        total_entries = results[0]["total_entries"] if results else 0
+
+        return {"results": collections, "total_entries": total_entries}
+
     async def get_collections_for_user(
-        self, user_id: UUID, offset: int = 0, limit: int = 100
-    ) -> list[GroupResponse]:
+        self, user_id: UUID, offset: int = 0, limit: int = -1
+    ) -> dict[str, Union[list[CollectionResponse], int]]:
         query = f"""
-            SELECT g.collection_id, g.name, g.description, g.created_at, g.updated_at
+            SELECT g.collection_id, g.name, g.description, g.created_at, g.updated_at, COUNT(*) OVER() AS total_entries
             FROM {self._get_table_name('collections')} g
             JOIN {self._get_table_name('users')} u ON g.collection_id = ANY(u.collection_ids)
             WHERE u.user_id = $1
             ORDER BY g.name
             OFFSET $2
-            LIMIT $3
         """
-        results = await self.fetch_query(query, [user_id, offset, limit])
 
-        return [
-            GroupResponse(
+        params = [user_id, offset]
+        if limit != -1:
+            query += " LIMIT $3"
+            params.append(limit)
+
+        results = await self.fetch_query(query, params)
+
+        collections = [
+            CollectionResponse(
                 collection_id=row["collection_id"],
                 name=row["name"],
                 description=row["description"],
@@ -386,6 +352,9 @@ async def get_collections_for_user(
             )
             for row in results
         ]
+        total_entries = results[0]["total_entries"] if results else 0
+
+        return {"results": collections, "total_entries": total_entries}
 
     async def assign_document_to_collection(
         self, document_id: UUID, collection_id: UUID
@@ -449,21 +418,26 @@ async def assign_document_to_collection(
             )
 
     async def document_collections(
-        self, document_id: UUID, offset: int = 0, limit: int = 100
-    ) -> list[GroupResponse]:
+        self, document_id: UUID, offset: int = 0, limit: int = -1
+    ) -> dict[str, Union[list[CollectionResponse], int]]:
         query = f"""
-            SELECT g.collection_id, g.name, g.description, g.created_at, g.updated_at
+            SELECT g.collection_id, g.name, g.description, g.created_at, g.updated_at, COUNT(*) OVER() AS total_entries
             FROM {self._get_table_name('collections')} g
             JOIN {self._get_table_name('document_info')} d ON g.collection_id = ANY(d.collection_ids)
             WHERE d.document_id = $1
             ORDER BY g.name
             OFFSET $2
-            LIMIT $3
         """
-        results = await self.fetch_query(query, [document_id, offset, limit])
 
-        return [
-            GroupResponse(
+        conditions: list = [document_id, offset]
+        if limit != -1:
+            query += " LIMIT $3"
+            conditions.append(limit)
+
+        results = await self.fetch_query(query, conditions)
+
+        collections = [
+            CollectionResponse(
                 collection_id=row["collection_id"],
                 name=row["name"],
                 description=row["description"],
@@ -473,6 +447,10 @@ async def document_collections(
             for row in results
         ]
 
+        total_entries = results[0]["total_entries"] if results else 0
+
+        return {"results": collections, "total_entries": total_entries}
+
     async def remove_document_from_collection(
         self, document_id: UUID, collection_id: UUID
     ) -> None:
diff --git a/py/core/providers/database/document.py b/py/core/providers/database/document.py
index 93c937f5d..e3409b097 100644
--- a/py/core/providers/database/document.py
+++ b/py/core/providers/database/document.py
@@ -1,7 +1,7 @@
 import asyncio
 import json
 import logging
-from typing import Optional, Union
+from typing import Any, Optional, Union
 from uuid import UUID
 
 import asyncpg
@@ -15,7 +15,7 @@
     String,
     Table,
 )
-from sqlalchemy.dialects.postgresql import UUID
+from sqlalchemy.dialects.postgresql import UUID as SqlUUID
 
 from core.base import (
     DocumentInfo,
@@ -37,9 +37,9 @@ def __init__(self, *args, **kwargs):
         self.document_info_table = Table(
             self._get_table_name("document_info"),
             self.metadata,
-            Column("document_id", UUID, primary_key=True),
-            Column("collection_ids", ARRAY(UUID)),
-            Column("user_id", UUID),
+            Column("document_id", SqlUUID, primary_key=True),
+            Column("collection_ids", ARRAY(SqlUUID)),
+            Column("user_id", SqlUUID),
             Column("type", String),
             Column("metadata", JSON),
             Column("title", String),
@@ -69,7 +69,7 @@ async def create_table(self):
             updated_at TIMESTAMPTZ DEFAULT NOW(),
             ingestion_attempt_number INT DEFAULT 0
         );
-        CREATE INDEX IF NOT EXISTS idx_collection_ids_{self.collection_name}
+        CREATE INDEX IF NOT EXISTS idx_collection_ids_{self.project_name}
         ON {self._get_table_name('document_info')} USING GIN (collection_ids);
         """
         await self.execute_query(query)
@@ -104,7 +104,7 @@ async def upsert_documents_overview(
             retries = 0
             while retries < max_retries:
                 try:
-                    async with self.pool.acquire() as conn:
+                    async with self.pool.acquire() as conn:  # type: ignore
                         async with conn.transaction():
                             # Lock the row for update
                             check_query = f"""
@@ -224,10 +224,10 @@ async def get_documents_overview(
         filter_document_ids: Optional[list[UUID]] = None,
         filter_collection_ids: Optional[list[UUID]] = None,
         offset: int = 0,
-        limit: int = 100,
-    ) -> list[DocumentInfo]:
+        limit: int = -1,
+    ) -> dict[str, Any]:
         conditions = []
-        params = []
+        params: list[Any] = []
         param_index = 1
 
         if filter_document_ids:
@@ -254,7 +254,8 @@ async def get_documents_overview(
 
         query = f"""
             SELECT document_id, collection_ids, user_id, type, metadata, title, version,
-                size_in_bytes, ingestion_status, created_at, updated_at, restructuring_status
+                size_in_bytes, ingestion_status, created_at, updated_at, restructuring_status,
+                COUNT(*) OVER() AS total_entries
             {base_query}
             ORDER BY created_at DESC
             OFFSET ${param_index}
@@ -265,11 +266,13 @@ async def get_documents_overview(
         if limit != -1:
             query += f" LIMIT ${param_index}"
             params.append(limit)
+            param_index += 1
 
         try:
             results = await self.fetch_query(query, params)
+            total_entries = results[0]["total_entries"] if results else 0
 
-            return [
+            documents = [
                 DocumentInfo(
                     id=row["document_id"],
                     collection_ids=row["collection_ids"],
@@ -288,6 +291,8 @@ async def get_documents_overview(
                 )
                 for row in results
             ]
+
+            return {"results": documents, "total_entries": total_entries}
         except Exception as e:
             logger.error(f"Error in get_documents_overview: {str(e)}")
             raise R2RException(
diff --git a/py/core/providers/database/postgres.py b/py/core/providers/database/postgres.py
index 040a0f456..b23aee747 100644
--- a/py/core/providers/database/postgres.py
+++ b/py/core/providers/database/postgres.py
@@ -23,16 +23,18 @@ def __init__(
         self,
         config: DatabaseConfig,
         dimension: int,
-        crypto_provider: Optional[CryptoProvider] = None,
+        crypto_provider: CryptoProvider,
         user: Optional[str] = None,
         password: Optional[str] = None,
         host: Optional[str] = None,
         port: Optional[int] = None,
         db_name: Optional[str] = None,
-        collection_name: Optional[str] = None,
+        project_name: Optional[str] = None,
         *args,
         **kwargs,
     ):
+        super().__init__(config)
+
         user = config.user or os.getenv("POSTGRES_USER")
         if not user:
             raise ValueError(
@@ -54,7 +56,7 @@ def __init__(
             )
         self.host = host
 
-        port = config.port or os.getenv("POSTGRES_PORT")
+        port = config.port or os.getenv("POSTGRES_PORT")  # type: ignore
         if not port:
             raise ValueError(
                 "Error, please set a valid POSTGRES_PORT environment variable or set a 'port' in the 'database' settings of your `r2r.toml`."
@@ -68,18 +70,21 @@ def __init__(
             )
         self.db_name = db_name
 
-        collection_name = (
-            config.vecs_collection
+        project_name = (
+            config.project_name
+            or config.vecs_collection  # remove after deprecation
             or os.getenv("POSTGRES_PROJECT_NAME")
-            or os.getenv("POSTGRES_VECS_COLLECTION")
+            or os.getenv(
+                "POSTGRES_VECS_COLLECTION"
+            )  # remove after deprecation
         )
-        if not collection_name:
+        if not project_name:
             raise ValueError(
-                "Error, please set a valid POSTGRES_PROJECT_NAME environment variable or set a 'vecs_collection' in the 'database' settings of your `r2r.toml`."
+                "Error, please set a valid POSTGRES_PROJECT_NAME environment variable or set a 'project_name' in the 'database' settings of your `r2r.toml`."
             )
-        self.collection_name = collection_name
+        self.project_name = project_name
 
-        if not all([user, password, host, port, db_name, collection_name]):
+        if not all([user, password, host, port, db_name, project_name]):
             raise ValueError(
                 "Error, please set the POSTGRES_USER, POSTGRES_PASSWORD, POSTGRES_HOST, POSTGRES_PORT, POSTGRES_DBNAME, and POSTGRES_PROJECT_NAME environment variables to use pgvector database."
             )
@@ -97,12 +102,10 @@ def __init__(
             logger.info("Connecting to Postgres via TCP/IP")
 
         self.vector_db_dimension = dimension
-        self.collection_name = collection_name
+        self.project_name = project_name
         self.conn = None
         self.config: DatabaseConfig = config
         self.crypto_provider = crypto_provider
-        self.vector = (None,)
-        self.relational = (None,)
 
     async def initialize(self):
         self.vector = self._initialize_vector_db()
@@ -112,7 +115,7 @@ def _initialize_vector_db(self) -> VectorDBProvider:
         return PostgresVectorDBProvider(
             self.config,
             connection_string=self.connection_string,
-            collection_name=self.collection_name,
+            project_name=self.project_name,
             dimension=self.vector_db_dimension,
         )
 
@@ -121,7 +124,7 @@ async def _initialize_relational_db(self) -> RelationalDBProvider:
             self.config,
             connection_string=self.connection_string,
             crypto_provider=self.crypto_provider,
-            collection_name=self.collection_name,
+            project_name=self.project_name,
         )
         await relational_db.initialize()
         return relational_db
diff --git a/py/core/providers/database/relational.py b/py/core/providers/database/relational.py
index 5bfeaced8..9a8291544 100644
--- a/py/core/providers/database/relational.py
+++ b/py/core/providers/database/relational.py
@@ -3,6 +3,7 @@
 
 import asyncpg
 
+from core.base import RelationalDBProvider
 from core.providers.database.base import DatabaseMixin
 from core.providers.database.collection import CollectionMixin
 from core.providers.database.document import DocumentMixin
@@ -13,20 +14,21 @@
 
 
 class PostgresRelationalDBProvider(
+    RelationalDBProvider,
     DocumentMixin,
     CollectionMixin,
     BlacklistedTokensMixin,
     UserMixin,
 ):
     def __init__(
-        self, config, connection_string, crypto_provider, collection_name
+        self, config, connection_string, crypto_provider, project_name
     ):
+        super().__init__(config)
         self.config = config
         self.connection_string = connection_string
         self.crypto_provider = crypto_provider
-        self.collection_name = collection_name
+        self.project_name = project_name
         self.pool = None
-        super().__init__()
 
     async def initialize(self):
         try:
@@ -42,7 +44,7 @@ async def initialize(self):
         await self._initialize_relational_db()
 
     def _get_table_name(self, base_name: str) -> str:
-        return f"{base_name}_{self.collection_name}"
+        return f"{base_name}_{self.project_name}"
 
     @asynccontextmanager
     async def get_connection(self):
diff --git a/py/core/providers/database/tokens.py b/py/core/providers/database/tokens.py
index 920316b56..009c6aaf9 100644
--- a/py/core/providers/database/tokens.py
+++ b/py/core/providers/database/tokens.py
@@ -12,14 +12,16 @@ async def create_table(self):
             token TEXT NOT NULL,
             blacklisted_at TIMESTAMPTZ DEFAULT NOW()
         );
-        CREATE INDEX IF NOT EXISTS idx_blacklisted_tokens_{self.collection_name}_token
+        CREATE INDEX IF NOT EXISTS idx_blacklisted_tokens_{self.project_name}_token
         ON {self._get_table_name('blacklisted_tokens')} (token);
-        CREATE INDEX IF NOT EXISTS idx_blacklisted_tokens_{self.collection_name}_blacklisted_at
+        CREATE INDEX IF NOT EXISTS idx_blacklisted_tokens_{self.project_name}_blacklisted_at
         ON {self._get_table_name('blacklisted_tokens')} (blacklisted_at);
         """
         await self.execute_query(query)
 
-    async def blacklist_token(self, token: str, current_time: datetime = None):
+    async def blacklist_token(
+        self, token: str, current_time: Optional[datetime] = None
+    ):
         if current_time is None:
             current_time = datetime.utcnow()
 
diff --git a/py/core/providers/database/user.py b/py/core/providers/database/user.py
index 58dd3d890..d4bde81ed 100644
--- a/py/core/providers/database/user.py
+++ b/py/core/providers/database/user.py
@@ -1,9 +1,9 @@
 from datetime import datetime
-from typing import Optional
+from typing import Optional, Union
 from uuid import UUID
 
 from core.base.abstractions import R2RException, UserStats
-from core.base.api.models.auth.responses import UserResponse
+from core.base.api.models import UserResponse
 from core.base.utils import generate_id_from_label
 
 from .base import DatabaseMixin, QueryBuilder
@@ -101,23 +101,19 @@ async def get_user_by_email(self, email: str) -> UserResponse:
         if not result:
             raise R2RException(status_code=404, message="User not found")
 
-        return (
-            UserResponse(
-                id=result["user_id"],
-                email=result["email"],
-                hashed_password=result["hashed_password"],
-                is_superuser=result["is_superuser"],
-                is_active=result["is_active"],
-                is_verified=result["is_verified"],
-                created_at=result["created_at"],
-                updated_at=result["updated_at"],
-                name=result["name"],
-                profile_picture=result["profile_picture"],
-                bio=result["bio"],
-                collection_ids=result["collection_ids"],
-            )
-            if result
-            else None
+        return UserResponse(
+            id=result["user_id"],
+            email=result["email"],
+            hashed_password=result["hashed_password"],
+            is_superuser=result["is_superuser"],
+            is_active=result["is_active"],
+            is_verified=result["is_verified"],
+            created_at=result["created_at"],
+            updated_at=result["updated_at"],
+            name=result["name"],
+            profile_picture=result["profile_picture"],
+            bio=result["bio"],
+            collection_ids=result["collection_ids"],
         )
 
     async def create_user(self, email: str, password: str) -> UserResponse:
@@ -131,7 +127,7 @@ async def create_user(self, email: str, password: str) -> UserResponse:
             if e.status_code != 404:
                 raise e
 
-        hashed_password = self.crypto_provider.get_password_hash(password)
+        hashed_password = self.crypto_provider.get_password_hash(password)  # type: ignore
         query = f"""
             INSERT INTO {self._get_table_name('users')}
             (email, user_id, hashed_password, collection_ids)
@@ -382,43 +378,74 @@ async def remove_user_from_collection(
             )
         return None
 
-    async def mark_user_as_superuser(self, user_id: UUID):
-        query = f"""
-            UPDATE {self._get_table_name('users')}
-            SET is_superuser = TRUE, is_verified = TRUE, verification_code = NULL, verification_code_expiry = NULL
-            WHERE user_id = $1
+    async def get_users_in_collection(
+        self, collection_id: UUID, offset: int = 0, limit: int = -1
+    ) -> dict[str, Union[list[UserResponse], int]]:
         """
-        await self.execute_query(query, [user_id])
+        Get all users in a specific collection with pagination.
+
+        Args:
+            collection_id (UUID): The ID of the collection to get users from.
+            offset (int): The number of users to skip.
+            limit (int): The maximum number of users to return.
+
+        Returns:
+            List[UserResponse]: A list of UserResponse objects representing the users in the collection.
+
+        Raises:
+            R2RException: If the collection doesn't exist.
+        """
+        if not await self.collection_exists(collection_id):  # type: ignore
+            raise R2RException(status_code=404, message="Collection not found")
 
-    async def get_users_in_collection(
-        self, collection_id: UUID, offset: int = 0, limit: int = 100
-    ) -> list[UserResponse]:
         query = f"""
-            SELECT user_id, email, is_superuser, is_active, is_verified, created_at, updated_at, name, profile_picture, bio, collection_ids
-            FROM {self._get_table_name('users')}
-            WHERE $1 = ANY(collection_ids)
-            ORDER BY email
-            OFFSET $2 LIMIT $3
+            SELECT u.user_id, u.email, u.is_active, u.is_superuser, u.created_at, u.updated_at,
+                u.is_verified, u.collection_ids, u.name, u.bio, u.profile_picture,
+                COUNT(*) OVER() AS total_entries
+            FROM {self._get_table_name('users')} u
+            WHERE $1 = ANY(u.collection_ids)
+            ORDER BY u.name
+            OFFSET $2
         """
-        results = await self.fetch_query(query, [collection_id, offset, limit])
 
-        return [
+        conditions = [collection_id, offset]
+        if limit != -1:
+            query += " LIMIT $3"
+            conditions.append(limit)
+
+        results = await self.fetch_query(query, conditions)
+
+        users = [
             UserResponse(
                 id=row["user_id"],
                 email=row["email"],
-                is_superuser=row["is_superuser"],
                 is_active=row["is_active"],
-                is_verified=row["is_verified"],
+                is_superuser=row["is_superuser"],
                 created_at=row["created_at"],
                 updated_at=row["updated_at"],
+                is_verified=row["is_verified"],
+                collection_ids=row["collection_ids"],
                 name=row["name"],
-                profile_picture=row["profile_picture"],
                 bio=row["bio"],
-                collection_ids=row["collection_ids"],
+                profile_picture=row["profile_picture"],
+                hashed_password=None,
+                verification_code_expiry=None,
             )
             for row in results
         ]
 
+        total_entries = results[0]["total_entries"] if results else 0
+
+        return {"results": users, "total_entries": total_entries}
+
+    async def mark_user_as_superuser(self, user_id: UUID):
+        query = f"""
+            UPDATE {self._get_table_name('users')}
+            SET is_superuser = TRUE, is_verified = TRUE, verification_code = NULL, verification_code_expiry = NULL
+            WHERE user_id = $1
+        """
+        await self.execute_query(query, [user_id])
+
     async def get_user_id_by_verification_code(
         self, verification_code: str
     ) -> Optional[UUID]:
@@ -447,8 +474,8 @@ async def get_users_overview(
         self,
         user_ids: Optional[list[UUID]] = None,
         offset: int = 0,
-        limit: int = 100,
-    ) -> list[UserStats]:
+        limit: int = -1,
+    ) -> dict[str, Union[list[UserStats], int]]:
         query = f"""
             WITH user_docs AS (
                 SELECT
@@ -462,7 +489,8 @@ async def get_users_overview(
                     u.collection_ids,
                     COUNT(d.document_id) AS num_files,
                     COALESCE(SUM(d.size_in_bytes), 0) AS total_size_in_bytes,
-                    ARRAY_AGG(d.document_id) FILTER (WHERE d.document_id IS NOT NULL) AS document_ids
+                    ARRAY_AGG(d.document_id) FILTER (WHERE d.document_id IS NOT NULL) AS document_ids,
+                    COUNT(*) OVER() AS total_entries
                 FROM {self._get_table_name('users')} u
                 LEFT JOIN {self._get_table_name('document_info')} d ON u.user_id = d.user_id
                 {' WHERE u.user_id = ANY($3::uuid[])' if user_ids else ''}
@@ -472,16 +500,20 @@ async def get_users_overview(
             FROM user_docs
             ORDER BY email
             OFFSET $1
-            LIMIT $2
         """
 
-        params = [offset, limit]
+        params: list = [offset]
+
+        if limit != -1:
+            query += " LIMIT $2"
+            params.append(limit)
+
         if user_ids:
             params.append(user_ids)
 
         results = await self.fetch_query(query, params)
 
-        return [
+        users = [
             UserStats(
                 user_id=row[0],
                 email=row[1],
@@ -497,3 +529,7 @@ async def get_users_overview(
             )
             for row in results
         ]
+
+        total_entries = results[0]["total_entries"]
+
+        return {"results": users, "total_entries": total_entries}
diff --git a/py/core/providers/database/vecs/adapter/markdown.py b/py/core/providers/database/vecs/adapter/markdown.py
index 149573f43..9a70e39bc 100644
--- a/py/core/providers/database/vecs/adapter/markdown.py
+++ b/py/core/providers/database/vecs/adapter/markdown.py
@@ -38,10 +38,15 @@ def split_by_heading(
         for section in sections:
             chunks = flu(section.split(" ")).chunk(max_tokens)
 
-            is_not_useless_chunk = lambda i: not i in ["", "\n", []]
+            is_not_useless_chunk = lambda i: not i in [
+                "",
+                "\n",
+                [],
+            ]  # noqa: E731, E713
 
             joined_chunks = filter(
-                is_not_useless_chunk, [" ".join(chunk) for chunk in chunks]
+                is_not_useless_chunk,
+                [" ".join(chunk) for chunk in chunks],  # noqa: E731, E713
             )
 
             for joined_chunk in joined_chunks:
diff --git a/py/core/providers/database/vecs/client.py b/py/core/providers/database/vecs/client.py
index 50938f576..c0d04af87 100644
--- a/py/core/providers/database/vecs/client.py
+++ b/py/core/providers/database/vecs/client.py
@@ -144,7 +144,7 @@ def _supports_hnsw(self):
             and not self.vector_version.startswith("0.0")
         )
 
-    def get_or_create_collection(
+    def get_or_create_vector_table(
         self,
         name: str,
         *,
@@ -181,7 +181,7 @@ def get_or_create_collection(
 
         return collection._create_if_not_exists()
 
-    @deprecated("use Client.get_or_create_collection")
+    @deprecated("use Client.get_or_create_vector_table")
     def create_collection(self, name: str, dimension: int) -> Collection:
         """
         Create a new vector collection.
@@ -200,7 +200,7 @@ def create_collection(self, name: str, dimension: int) -> Collection:
 
         return Collection(name, dimension, self)._create()
 
-    @deprecated("use Client.get_or_create_collection")
+    @deprecated("use Client.get_or_create_vector_table")
     def get_collection(self, name: str) -> Collection:
         """
         Retrieve an existing vector collection.
diff --git a/py/core/providers/database/vecs/collection.py b/py/core/providers/database/vecs/collection.py
index d659daf90..6211d101a 100644
--- a/py/core/providers/database/vecs/collection.py
+++ b/py/core/providers/database/vecs/collection.py
@@ -633,8 +633,8 @@ def semantic_search(
 
         # if filters:
         stmt = stmt.filter(self.build_filters(search_settings.filters))  # type: ignore
-
         stmt = stmt.order_by(distance_clause)
+        stmt = stmt.offset(search_settings.offset)
         stmt = stmt.limit(search_settings.search_limit)
 
         with self.client.Session() as sess:
@@ -649,7 +649,12 @@ def semantic_search(
                     sess.execute(
                         text(
                             "set local hnsw.ef_search = :ef_search"
-                        ).bindparams(ef_search=search_settings.ef_search)
+                        ).bindparams(
+                            ef_search=max(
+                                search_settings.ef_search,
+                                search_settings.search_limit,
+                            )
+                        )
                     )
                 if len(cols) == 1:
                     return [str(x) for x in sess.scalars(stmt).fetchall()]
@@ -681,6 +686,7 @@ def full_text_search(
             .where(self.table.c.fts.op("@@")(ts_query))
             .where(self.build_filters(search_settings.filters))
             .order_by(rank_function.desc())
+            .offset(search_settings.offset)
             .limit(search_settings.hybrid_search_settings.full_text_limit)
         )
 
@@ -948,6 +954,16 @@ def is_indexed_for_measure(self, measure: IndexMeasure):
 
         return False
 
+    def close(self):
+        """
+        Closes the database connection associated with this collection.
+
+        This method should be called when you are done using the collection to release
+        the database resources.
+        """
+        if self.client:
+            self.client.close()
+
     def create_index(
         self,
         measure: IndexMeasure = IndexMeasure.cosine_distance,
diff --git a/py/core/providers/database/vector.py b/py/core/providers/database/vector.py
index bd8338e39..ae63aa6a0 100644
--- a/py/core/providers/database/vector.py
+++ b/py/core/providers/database/vector.py
@@ -1,6 +1,6 @@
 import concurrent.futures
+import copy
 import logging
-import os
 from concurrent.futures import ThreadPoolExecutor
 from typing import Any, Optional
 
@@ -40,10 +40,10 @@ def __init__(self, config: DatabaseConfig, *args, **kwargs):
             raise ValueError(
                 "Error occurred while attempting to connect to the pgvector provider."
             )
-        self.collection_name = kwargs.get("collection_name", None)
-        if not self.collection_name:
+        self.project_name = kwargs.get("project_name", None)
+        if not self.project_name:
             raise ValueError(
-                "Please provide a valid `collection_name` to the `PostgresVectorDBProvider`."
+                "Please provide a valid `project_name` to the `PostgresVectorDBProvider`."
             )
         dimension = kwargs.get("dimension", None)
         if not dimension:
@@ -51,10 +51,9 @@ def __init__(self, config: DatabaseConfig, *args, **kwargs):
                 "Please provide a valid `dimension` to the `PostgresVectorDBProvider`."
             )
 
-        self.collection: Optional[Collection] = None
         self._initialize_vector_db(dimension)
         logger.info(
-            f"Successfully initialized PGVectorDB with collection: {self.collection_name}"
+            f"Successfully initialized PGVectorDB for project: {self.project_name}"
         )
 
     def _initialize_vector_db(self, dimension: int) -> None:
@@ -64,8 +63,8 @@ def _initialize_vector_db(self, dimension: int) -> None:
             sess.execute(text("CREATE EXTENSION IF NOT EXISTS btree_gin;"))
             sess.commit()
 
-        self.collection = self.vx.get_or_create_collection(
-            name=self.collection_name, dimension=dimension
+        self.collection = self.vx.get_or_create_vector_table(
+            name=self.project_name, dimension=dimension
         )
         self.create_index()
 
@@ -124,14 +123,14 @@ def semantic_search(
         )
         return [
             VectorSearchResult(
-                fragment_id=result[0],
-                extraction_id=result[1],
-                document_id=result[2],
-                user_id=result[3],
-                collection_ids=result[4],
-                text=result[5],
-                score=1 - float(result[6]),
-                metadata=result[7],
+                fragment_id=result[0],  # type: ignore
+                extraction_id=result[1],  # type: ignore
+                document_id=result[2],  # type: ignore
+                user_id=result[3],  # type: ignore
+                collection_ids=result[4],  # type: ignore
+                text=result[5],  # type: ignore
+                score=1 - float(result[6]),  # type: ignore
+                metadata=result[7],  # type: ignore
             )
             for result in results
         ]
@@ -143,10 +142,9 @@ def full_text_search(
             raise ValueError(
                 "Please call `initialize_collection` before attempting to run `full_text_search`."
             )
-        results = self.collection.full_text_search(
+        return self.collection.full_text_search(
             query_text=query_text, search_settings=search_settings
         )
-        return results
 
     def hybrid_search(
         self,
@@ -168,20 +166,28 @@ def hybrid_search(
                 "The `full_text_limit` must be greater than or equal to the `search_limit`."
             )
 
+        semantic_settings = copy.deepcopy(search_settings)
+        semantic_settings.search_limit += search_settings.offset
+
+        full_text_settings = copy.deepcopy(search_settings)
+        full_text_settings.hybrid_search_settings.full_text_limit += (  # type: ignore
+            search_settings.offset
+        )
+
         # Use ThreadPoolExecutor to run searches in parallel
         with ThreadPoolExecutor(max_workers=2) as executor:
             semantic_future = executor.submit(
-                self.semantic_search, query_vector, search_settings
+                self.semantic_search, query_vector, semantic_settings
             )
             full_text_future = executor.submit(
-                self.full_text_search, query_text, search_settings
+                self.full_text_search, query_text, full_text_settings
             )
 
             # Wait for both searches to complete
             concurrent.futures.wait([semantic_future, full_text_future])
 
-        semantic_results = semantic_future.result()
-        full_text_results = full_text_future.result()
+        semantic_results: list[VectorSearchResult] = semantic_future.result()
+        full_text_results: list[VectorSearchResult] = full_text_future.result()
 
         semantic_limit = search_settings.search_limit
         full_text_limit = (
@@ -240,43 +246,46 @@ def hybrid_search(
         combined_results = {
             k: v
             for k, v in combined_results.items()
-            if v["semantic_rank"] <= semantic_limit * 2
-            and v["full_text_rank"] <= full_text_limit * 2
+            if v["semantic_rank"] <= semantic_limit * 2  # type: ignore
+            and v["full_text_rank"] <= full_text_limit * 2  # type: ignore
         }
 
         # Calculate RRF scores
-        for result in combined_results.values():
-            semantic_score = 1 / (rrf_k + result["semantic_rank"])
-            full_text_score = 1 / (rrf_k + result["full_text_rank"])
-            result["rrf_score"] = (
+        for result in combined_results.values():  # type: ignore
+            semantic_score = 1 / (rrf_k + result["semantic_rank"])  # type: ignore
+            full_text_score = 1 / (rrf_k + result["full_text_rank"])  # type: ignore
+            result["rrf_score"] = (  # type: ignore
                 semantic_score * semantic_weight
                 + full_text_score * full_text_weight
             ) / (semantic_weight + full_text_weight)
 
-        # Sort by RRF score and convert to VectorSearchResult
-        limit = min(semantic_limit, full_text_limit)
+        # Sort by RRF score and apply offset and limit
         sorted_results = sorted(
             combined_results.values(),
-            key=lambda x: x["rrf_score"],
+            key=lambda x: x["rrf_score"],  # type: ignore
             reverse=True,
-        )[:limit]
+        )
+        offset_results = sorted_results[
+            search_settings.offset : search_settings.offset
+            + search_settings.search_limit
+        ]
 
         return [
             VectorSearchResult(
-                fragment_id=result["data"].fragment_id,
-                extraction_id=result["data"].extraction_id,
-                document_id=result["data"].document_id,
-                user_id=result["data"].user_id,
-                collection_ids=result["data"].collection_ids,
-                text=result["data"].text,
-                score=result["rrf_score"],
+                fragment_id=result["data"].fragment_id,  # type: ignore
+                extraction_id=result["data"].extraction_id,  # type: ignore
+                document_id=result["data"].document_id,  # type: ignore
+                user_id=result["data"].user_id,  # type: ignore
+                collection_ids=result["data"].collection_ids,  # type: ignore
+                text=result["data"].text,  # type: ignore
+                score=result["rrf_score"],  # type: ignore
                 metadata={
-                    **result["data"].metadata,
+                    **result["data"].metadata,  # type: ignore
                     "semantic_rank": result["semantic_rank"],
                     "full_text_rank": result["full_text_rank"],
                 },
             )
-            for result in sorted_results
+            for result in offset_results
         ]
 
     def create_index(
@@ -303,7 +312,7 @@ def create_index(
     def delete(
         self,
         filters: dict[str, Any],
-    ) -> list[str]:
+    ) -> dict[str, dict[str, str]]:
         if self.collection is None:
             raise ValueError(
                 "Please call `initialize_collection` before attempting to run `delete`."
@@ -343,10 +352,10 @@ def assign_document_to_collection(
             result = sess.execute(
                 query,
                 {"document_id": document_id, "collection_id": collection_id},
-            )
+            ).fetchone()
             sess.commit()
 
-        if result.rowcount == 0:
+        if not result:
             logger.warning(
                 f"Document {document_id} not found or already assigned to collection {collection_id}"
             )
@@ -383,10 +392,10 @@ def remove_document_from_collection(
             result = sess.execute(
                 query,
                 {"document_id": document_id, "collection_id": collection_id},
-            )
+            ).fetchone()
             sess.commit()
 
-        if result.rowcount == 0:
+        if not result:
             logger.warning(
                 f"Document {document_id} not found in collection {collection_id} or already removed"
             )
@@ -448,9 +457,16 @@ def delete_collection(self, collection_id: str) -> None:
         )
 
         with self.vx.Session() as sess:
-            result = sess.execute(query, {"collection_id": collection_id})
+            result = sess.execute(
+                query, {"collection_id": collection_id}
+            ).fetchone()
             sess.commit()
 
+        if not result:
+            raise ValueError(
+                f"Collection {collection_id} not found in any documents."
+            )
+
         affected_rows = result.rowcount
         logger.info(
             f"Removed collection {collection_id} from {affected_rows} documents."
@@ -458,7 +474,7 @@ def delete_collection(self, collection_id: str) -> None:
 
     def get_document_chunks(
         self, document_id: str, offset: int = 0, limit: int = -1
-    ) -> dict:
+    ) -> dict[str, Any]:
         if not self.collection:
             raise ValueError("Collection is not initialized.")
 
@@ -466,7 +482,7 @@ def get_document_chunks(
         table_name = self.collection.table.name
         query = text(
             f"""
-            SELECT fragment_id, extraction_id, document_id, user_id, collection_ids, text, metadata
+            SELECT fragment_id, extraction_id, document_id, user_id, collection_ids, text, metadata, COUNT(*) OVER() AS total
             FROM vecs."{table_name}"
             WHERE document_id = :document_id
             ORDER BY CAST(metadata->>'chunk_order' AS INTEGER)
@@ -481,15 +497,31 @@ def get_document_chunks(
         with self.vx.Session() as sess:
             results = sess.execute(query, params).fetchall()
 
-        return [
-            {
-                "fragment_id": result[0],
-                "extraction_id": result[1],
-                "document_id": result[2],
-                "user_id": result[3],
-                "collection_ids": result[4],
-                "text": result[5],
-                "metadata": result[6],
-            }
-            for result in results
-        ]
+        chunks = []
+        total = 0
+
+        if results:
+            total = results[0][7]
+            chunks = [
+                {
+                    "fragment_id": result[0],
+                    "extraction_id": result[1],
+                    "document_id": result[2],
+                    "user_id": result[3],
+                    "collection_ids": result[4],
+                    "text": result[5],
+                    "metadata": result[6],
+                }
+                for result in results
+            ]
+
+        return {"results": chunks, "total_entries": total}
+
+    def close(self) -> None:
+        if self.vx:
+            with self.vx.Session() as sess:
+                sess.close()
+                if sess.bind:
+                    sess.bind.dispose()  # type: ignore
+
+        logger.info("Closed PGVectorDB connection.")
diff --git a/py/core/providers/embeddings/litellm.py b/py/core/providers/embeddings/litellm.py
index a0b6398d8..4d131c43d 100644
--- a/py/core/providers/embeddings/litellm.py
+++ b/py/core/providers/embeddings/litellm.py
@@ -173,10 +173,3 @@ def rerank(
         limit: int = 10,
     ):
         return results[:limit]
-
-    def tokenize_string(
-        self, text: str, model: str, stage: EmbeddingProvider.PipeStage
-    ) -> list[int]:
-        raise NotImplementedError(
-            "Tokenization is not supported by LiteLLMEmbeddingProvider."
-        )
diff --git a/py/core/providers/embeddings/ollama.py b/py/core/providers/embeddings/ollama.py
index c18880b96..7a61d8c57 100644
--- a/py/core/providers/embeddings/ollama.py
+++ b/py/core/providers/embeddings/ollama.py
@@ -183,10 +183,3 @@ def rerank(
         limit: int = 10,
     ) -> list[VectorSearchResult]:
         return results[:limit]
-
-    def tokenize_string(
-        self, text: str, model: str, stage: EmbeddingProvider.PipeStage
-    ) -> list[int]:
-        raise NotImplementedError(
-            "Tokenization is not supported by OllamaEmbeddingProvider."
-        )
diff --git a/py/core/providers/file/postgres.py b/py/core/providers/file/postgres.py
index dd2051f8d..dcc110428 100644
--- a/py/core/providers/file/postgres.py
+++ b/py/core/providers/file/postgres.py
@@ -14,8 +14,8 @@
 
 class PostgresFileProvider(FileProvider):
     def __init__(self, config: FileConfig, db_provider: PostgresDBProvider):
-        super().__init__()
-        self.config = config
+        super().__init__(config)
+        self.config: FileConfig = config
         self.db_provider = db_provider
         self.pool = None
 
@@ -71,6 +71,12 @@ async def upsert_file(
         file_size: int,
         file_type: Optional[str] = None,
     ) -> None:
+        if not self.pool:
+            raise R2RException(
+                status_code=500,
+                message="Connection to the database is not initialized",
+            )
+
         query = f"""
         INSERT INTO {self._get_table_name('file_storage')}
         (document_id, file_name, file_oid, file_size, file_type)
@@ -96,6 +102,12 @@ async def upsert_file(
     async def store_file(
         self, document_id, file_name, file_content: io.BytesIO, file_type=None
     ):
+        if not self.pool:
+            raise R2RException(
+                status_code=500,
+                message="Connection to the database is not initialized",
+            )
+
         file_size = file_content.getbuffer().nbytes
         async with self.pool.acquire() as conn:
             async with conn.transaction():
@@ -136,6 +148,12 @@ async def _write_lobject(self, conn, oid, file_content):
     async def retrieve_file(
         self, document_id: UUID
     ) -> Optional[tuple[str, BinaryIO, int]]:
+        if not self.pool:
+            raise R2RException(
+                status_code=500,
+                message="Connection to the database is not initialized",
+            )
+
         query = f"""
         SELECT file_name, file_oid, file_size
         FROM {self._get_table_name('file_storage')}
@@ -203,6 +221,12 @@ async def _read_lobject(self, conn, oid: int) -> bytes:
         return file_data.getvalue()
 
     async def delete_file(self, document_id: UUID) -> bool:
+        if not self.pool:
+            raise R2RException(
+                status_code=500,
+                message="Connection to the database is not initialized",
+            )
+
         query = f"""
         SELECT file_oid FROM {self._get_table_name('file_storage')}
         WHERE document_id = $1
@@ -236,26 +260,31 @@ async def get_files_overview(
         offset: int = 0,
         limit: int = 100,
     ) -> list[dict]:
+        if not self.pool:
+            raise R2RException(
+                status_code=500,
+                message="Connection to the database is not initialized",
+            )
+
         conditions = []
         params = []
+        query = f"""
+        SELECT document_id, file_name, file_oid, file_size, file_type, created_at, updated_at
+        FROM {self._get_table_name('file_storage')}
+        """
 
         if filter_document_ids:
-            conditions.append("document_id = ANY($1)")
-            params.append(filter_document_ids)
+            conditions.append(f"document_id = ANY(${len(params) + 1})")
+            params.append([str(doc_id) for doc_id in filter_document_ids])
 
         if filter_file_names:
-            conditions.append("file_name = ANY($2)")
+            conditions.append(f"file_name = ANY(${len(params) + 1})")
             params.append(filter_file_names)
 
-        query = f"""
-        SELECT document_id, file_name, file_oid, file_size, file_type, created_at, updated_at
-        FROM {self._get_table_name('file_storage')}
-        """
-
         if conditions:
             query += " WHERE " + " AND ".join(conditions)
 
-        query += " ORDER BY created_at DESC OFFSET $3 LIMIT $4"
+        query += f" ORDER BY created_at DESC OFFSET ${len(params) + 1} LIMIT ${len(params) + 2}"
         params.extend([offset, limit])
 
         async with self.pool.acquire() as conn:
diff --git a/py/core/providers/kg/neo4j/__init__.py b/py/core/providers/kg/neo4j/__init__.py
index 63be447ee..bb1d985f3 100644
--- a/py/core/providers/kg/neo4j/__init__.py
+++ b/py/core/providers/kg/neo4j/__init__.py
@@ -1,3 +1,3 @@
-from .provider import Neo4jKGProvider
+from .provider import Neo4jKGProvider  # type: ignore
 
 __all__ = ["Neo4jKGProvider"]
diff --git a/py/core/providers/kg/neo4j/graph_queries.py b/py/core/providers/kg/neo4j/graph_queries.py
index f6f7f2b08..84daa5aaf 100644
--- a/py/core/providers/kg/neo4j/graph_queries.py
+++ b/py/core/providers/kg/neo4j/graph_queries.py
@@ -1,3 +1,4 @@
+# type: ignore
 UNIQUE_CONSTRAINTS = []
 
 GET_CHUNKS_QUERY = """
diff --git a/py/core/providers/kg/neo4j/provider.py b/py/core/providers/kg/neo4j/provider.py
index 6ba24dbf9..90bf8518f 100644
--- a/py/core/providers/kg/neo4j/provider.py
+++ b/py/core/providers/kg/neo4j/provider.py
@@ -1,28 +1,22 @@
+# type: ignore
 import json
 import logging
 import os
 from datetime import date, datetime
 from decimal import Decimal
-from typing import Any, Dict, List, Optional, Tuple, AsyncGenerator
+from typing import Any, AsyncGenerator, Dict, List, Optional, Tuple
 from uuid import UUID
 
-from core.base import (
-    KGConfig,
-    KGProvider,
-    R2RException,
-)
-
-from core.base.abstractions.document import DocumentFragment
-from core.base.abstractions.graph import (
+from core.base import KGConfig, KGProvider, R2RException
+from core.base.abstractions import (
     Community,
+    DocumentFragment,
     Entity,
     KGExtraction,
     RelationshipType,
     Triple,
 )
 
-logger = logging.getLogger(__name__)
-
 from .graph_queries import (
     GET_CHUNKS_QUERY,
     GET_COMMUNITIES_QUERY,
@@ -37,6 +31,8 @@
     UNIQUE_CONSTRAINTS,
 )
 
+logger = logging.getLogger(__name__)
+
 
 class Neo4jKGProvider(KGProvider):
 
@@ -274,9 +270,9 @@ def get_community_entities_and_triples(
         query = """MATCH (a:__Entity__) - [r] -> (b:__Entity__)
                 WHERE a.communityIds[$level] = $community_id
                 OR b.communityIds[$level] = $community_id
-                RETURN a.name AS source, b.name AS target, a.description AS source_description,
+                RETURN ID(a) AS source_id, a.name AS source, id(b) AS target_id, b.name AS target, a.description AS source_description,
                 b.description AS target_description, labels(a) AS source_labels, labels(b) AS target_labels,
-                r.description AS relationship_description, r.name AS relationship_name, r.weight AS relationship_weight
+                r.description AS relationship_description, r.name AS relationship_name, r.weight AS relationship_weight, ID(r) AS relationship_id
         """
 
         neo4j_records = self.structured_query(
@@ -289,6 +285,7 @@ def get_community_entities_and_triples(
 
         entities = [
             Entity(
+                id=record["source_id"],
                 name=record["source"],
                 description=record["source_description"],
                 category=", ".join(record["source_labels"]),
@@ -298,6 +295,7 @@ def get_community_entities_and_triples(
 
         triples = [
             Triple(
+                id=record["relationship_id"],
                 subject=record["source"],
                 predicate=record["relationship_name"],
                 object=record["target"],
@@ -450,7 +448,9 @@ async def vector_query(
                 for property_name in property_names
             }
 
-    def perform_graph_clustering(self, leiden_params: dict) -> Tuple[int, int]:
+    def perform_graph_clustering(
+        self, leiden_params: dict
+    ) -> Tuple[int, int, set[tuple[int, Any]]]:
         """
         Perform graph clustering on the graph.
 
@@ -518,7 +518,7 @@ def perform_graph_clustering(self, leiden_params: dict) -> Tuple[int, int]:
         result = self.structured_query(GRAPH_PROJECTION_QUERY)
 
         # step 2: run the hierarchical leiden algorithm on the graph.
-        seed_property = leiden_params.get("seed_property", "communityIds")
+        # seed_property = leiden_params.get("seed_property", "communityIds")
         write_property = leiden_params.get("write_property", "communityIds")
         random_seed = leiden_params.get("random_seed", 42)
         include_intermediate_communities = leiden_params.get(
@@ -551,7 +551,7 @@ def perform_graph_clustering(self, leiden_params: dict) -> Tuple[int, int]:
 
         result = self.structured_query(GRAPH_CLUSTERING_QUERY).records[0]
 
-        community_count = result["communityCount"]
+        community_count: int = result["communityCount"]
         modularities = result["modularities"]
 
         logger.info(
diff --git a/py/core/providers/llm/litellm.py b/py/core/providers/llm/litellm.py
index 24cfd2a32..8131d65f7 100644
--- a/py/core/providers/llm/litellm.py
+++ b/py/core/providers/llm/litellm.py
@@ -1,7 +1,7 @@
 import logging
 from typing import Any
 
-from core.base.abstractions.llm import GenerationConfig
+from core.base.abstractions import GenerationConfig
 from core.base.providers.llm import CompletionConfig, CompletionProvider
 
 logger = logging.getLogger(__name__)
diff --git a/py/core/providers/llm/openai.py b/py/core/providers/llm/openai.py
index d4dddd46b..5f1370f52 100644
--- a/py/core/providers/llm/openai.py
+++ b/py/core/providers/llm/openai.py
@@ -4,7 +4,7 @@
 
 from openai import AsyncOpenAI, OpenAI
 
-from core.base.abstractions.llm import GenerationConfig
+from core.base.abstractions import GenerationConfig
 from core.base.providers.llm import CompletionConfig, CompletionProvider
 
 logger = logging.getLogger(__name__)
diff --git a/py/core/providers/orchestration/hatchet.py b/py/core/providers/orchestration/hatchet.py
index 9a1b97eba..13c89b349 100644
--- a/py/core/providers/orchestration/hatchet.py
+++ b/py/core/providers/orchestration/hatchet.py
@@ -3,13 +3,14 @@
 
 from hatchet_sdk import Hatchet
 
-from core.base import OrchestrationProvider
+from core.base import OrchestrationConfig, OrchestrationProvider
 
 
 class HatchetOrchestrationProvider(OrchestrationProvider):
-    def __init__(self, config: Any):
+    def __init__(self, config: OrchestrationConfig):
         super().__init__(config)
         self.orchestrator = Hatchet()
+        self.config: OrchestrationConfig = config  # for type hinting
         self.worker
 
     def register_workflow(self, workflow: Any) -> None:
diff --git a/py/core/providers/parsing/__init__.py b/py/core/providers/parsing/__init__.py
index 58ee4aa04..1cc3cb0f4 100644
--- a/py/core/providers/parsing/__init__.py
+++ b/py/core/providers/parsing/__init__.py
@@ -1,4 +1,4 @@
-from .r2r_parsing import R2RParsingProvider
+from .r2r_parsing import R2RParsingProvider  # type: ignore
 from .unstructured_parsing import UnstructuredParsingProvider
 
 __all__ = ["R2RParsingProvider", "UnstructuredParsingProvider"]
diff --git a/py/core/providers/parsing/r2r_parsing.py b/py/core/providers/parsing/r2r_parsing.py
index 720f061ce..9994a6274 100644
--- a/py/core/providers/parsing/r2r_parsing.py
+++ b/py/core/providers/parsing/r2r_parsing.py
@@ -1,9 +1,11 @@
+# type: ignore
 import logging
 import time
-from typing import Any, AsyncGenerator
+from typing import Any, AsyncGenerator, Union
 
 from core import parsers
 from core.base import (
+    AsyncParser,
     Document,
     DocumentExtraction,
     DocumentType,
@@ -47,7 +49,7 @@ class R2RParsingProvider(ParsingProvider):
 
     def __init__(self, config: ParsingConfig):
         super().__init__(config)
-        self.parsers = {}
+        self.parsers: dict[DocumentType, AsyncParser] = {}
         self._initialize_parsers()
 
     def _initialize_parsers(self):
@@ -65,37 +67,38 @@ def _initialize_parsers(self):
             if parser_name := getattr(parsers, parser_override.parser):
                 self.parsers[parser_override.document_type] = parser_name()
 
-    async def parse(
+    async def parse(  # type: ignore
         self, file_content: bytes, document: Document
-    ) -> AsyncGenerator[DocumentExtraction, None]:
+    ) -> AsyncGenerator[
+        Union[DocumentExtraction, R2RDocumentProcessingError], None
+    ]:
         if document.type not in self.parsers:
             yield R2RDocumentProcessingError(
                 document_id=document.id,
                 error_message=f"Parser for {document.type} not found in `R2RParsingProvider`.",
             )
-            return
+        else:
+            parser = self.parsers[document.type]
+            texts = await parser.ingest(file_content)
+            t0 = time.time()
 
-        parser = self.parsers[document.type]
-        texts = parser.ingest(file_content)
-        t0 = time.time()
+            iteration = 0
+            async for text in texts:
+                yield DocumentExtraction(
+                    id=generate_id_from_label(f"{document.id}-{iteration}"),
+                    document_id=document.id,
+                    user_id=document.user_id,
+                    collection_ids=document.collection_ids,
+                    data=text,
+                    metadata=document.metadata,
+                )
+                iteration += 1
 
-        iteration = 0
-        async for text in texts:
-            yield DocumentExtraction(
-                id=generate_id_from_label(f"{document.id}-{iteration}"),
-                document_id=document.id,
-                user_id=document.user_id,
-                collection_ids=document.collection_ids,
-                data=text,
-                metadata=document.metadata,
+            logger.debug(
+                f"Parsed document with id={document.id}, title={document.metadata.get('title', None)}, "
+                f"user_id={document.metadata.get('user_id', None)}, metadata={document.metadata} "
+                f"into {iteration} extractions in t={time.time() - t0:.2f} seconds."
             )
-            iteration += 1
-
-        logger.debug(
-            f"Parsed document with id={document.id}, title={document.metadata.get('title', None)}, "
-            f"user_id={document.metadata.get('user_id', None)}, metadata={document.metadata} "
-            f"into {iteration} extractions in t={time.time() - t0:.2f} seconds."
-        )
 
     def get_parser_for_document_type(self, doc_type: DocumentType) -> Any:
         return self.parsers.get(doc_type)
diff --git a/py/core/providers/parsing/unstructured_parsing.py b/py/core/providers/parsing/unstructured_parsing.py
index 91715b716..3b5393e30 100644
--- a/py/core/providers/parsing/unstructured_parsing.py
+++ b/py/core/providers/parsing/unstructured_parsing.py
@@ -1,6 +1,5 @@
-import asyncio
+# TODO - cleanup type issues in this file that relate to `bytes`
 import base64
-import json
 import logging
 import os
 import time
@@ -9,12 +8,12 @@
 from typing import Any, AsyncGenerator
 
 import httpx
-from pydantic import BaseModel
 from unstructured_client import UnstructuredClient
 from unstructured_client.models import operations, shared
 
 from core import parsers
 from core.base import (
+    AsyncParser,
     Document,
     DocumentExtraction,
     DocumentType,
@@ -22,7 +21,7 @@
     ParsingProvider,
     generate_id_from_label,
 )
-from core.base.abstractions.base import R2RSerializable
+from core.base.abstractions import R2RSerializable
 
 logger = logging.getLogger(__name__)
 
@@ -52,7 +51,7 @@ class UnstructuredParsingProvider(ParsingProvider):
         DocumentType.PNG: [parsers.ImageParser],
         DocumentType.SVG: [parsers.ImageParser],
         DocumentType.MP3: [parsers.AudioParser],
-        DocumentType.MP4: [parsers.MovieParser],
+        # DocumentType.MP4: [parsers.MovieParser],
     }
 
     IMAGE_TYPES = {
@@ -64,6 +63,8 @@ class UnstructuredParsingProvider(ParsingProvider):
     }
 
     def __init__(self, use_api: bool, config: ParsingConfig):
+        super().__init__(config)
+        self.config: ParsingConfig = config
         if config.excluded_parsers:
             logger.warning(
                 "Excluded parsers are not supported by the unstructured parsing provider."
@@ -104,7 +105,7 @@ def __init__(self, use_api: bool, config: ParsingConfig):
             self.client = httpx.AsyncClient()
 
         super().__init__(config)
-        self.parsers = {}
+        self.parsers: dict[DocumentType, AsyncParser] = {}
         self._initialize_parsers()
 
     def _initialize_parsers(self):
@@ -126,19 +127,19 @@ async def parse_fallback(
         self, file_content: bytes, document: Document, chunk_size: int
     ) -> AsyncGenerator[FallbackElement, None]:
 
-        texts = self.parsers[document.type].ingest(
+        texts = self.parsers[document.type].ingest(  # type: ignore
             file_content, chunk_size=chunk_size
         )
 
         chunk_id = 0
-        async for text in texts:
+        async for text in texts:  # type: ignore
             if text and text != "":
                 yield FallbackElement(
                     text=text, metadata={"chunk_id": chunk_id}
                 )
                 chunk_id += 1
 
-    async def parse(
+    async def parse(  # type: ignore
         self, file_content: bytes, document: Document
     ) -> AsyncGenerator[DocumentExtraction, None]:
 
@@ -160,15 +161,14 @@ async def parse(
             logger.info(
                 f"Parsing {document.type}: {document.id} with unstructured"
             )
-
             if isinstance(file_content, bytes):
-                file_content = BytesIO(file_content)
+                file_content = BytesIO(file_content)  # type: ignore
 
             # TODO - Include check on excluded parsers here.
             if self.use_api:
                 logger.info(f"Using API to parse document {document.id}")
                 files = self.shared.Files(
-                    content=file_content.read(),
+                    content=file_content.read(),  # type: ignore
                     file_name=document.metadata.get("title", "unknown_file"),
                 )
 
@@ -178,15 +178,15 @@ async def parse(
                         **self.config.chunking_config.extra_fields,
                     )
                 )
-                elements = self.client.general.partition(req)
-                elements = list(elements.elements)
+                elements = self.client.general.partition(req)  # type: ignore
+                elements = list(elements.elements)  # type: ignore
 
             else:
                 logger.info(
                     f"Using local unstructured fastapi server to parse document {document.id}"
                 )
                 # Base64 encode the file content
-                encoded_content = base64.b64encode(file_content.read()).decode(
+                encoded_content = base64.b64encode(file_content.read()).decode(  # type: ignore
                     "utf-8"
                 )
 
@@ -194,7 +194,7 @@ async def parse(
                     f"Sending a request to {self.local_unstructured_url}/partition"
                 )
 
-                elements = await self.client.post(
+                response = await self.client.post(
                     f"{self.local_unstructured_url}/partition",
                     json={
                         "file_content": encoded_content,  # Use encoded string
@@ -203,26 +203,31 @@ async def parse(
                     timeout=300,  # Adjust timeout as needed
                 )
 
-                elements = elements.json()
-                elements = elements["elements"]
+                elements = response.json().get("elements", [])
 
         iteration = 0  # if there are no chunks
         for iteration, element in enumerate(elements):
-            if not isinstance(element, dict):
-                element = element.to_dict()
-
-            if element.get("text", "") == "":
-                continue
-
-            metadata = copy(document.metadata)
-            for key, value in element.items():
-                if key == "text":
-                    text = value
-                elif key == "metadata":
-                    for k, v in value.items():
-                        if k not in metadata:
-                            if k != "orig_elements":
-                                metadata[f"unstructured_{k}"] = v
+            if isinstance(element, FallbackElement):
+                text = element.text
+                metadata = copy(document.metadata)
+                metadata.update(element.metadata)
+            else:
+                element_dict = (
+                    element.to_dict()
+                    if not isinstance(element, dict)
+                    else element
+                )
+                text = element_dict.get("text", "")
+                if text == "":
+                    continue
+
+                metadata = copy(document.metadata)
+                for key, value in element_dict.items():
+                    if key == "metadata":
+                        for k, v in value.items():
+                            if k not in metadata:
+                                if k != "orig_elements":
+                                    metadata[f"unstructured_{k}"] = v
 
             # indicate that the document was chunked using unstructured
             # nullifies the need for chunking in the pipeline
diff --git a/py/core/providers/prompts/defaults/graphrag_community_reports.yaml b/py/core/providers/prompts/defaults/graphrag_community_reports.yaml
deleted file mode 100644
index 9d57b92be..000000000
--- a/py/core/providers/prompts/defaults/graphrag_community_reports.yaml
+++ /dev/null
@@ -1,150 +0,0 @@
-graphrag_community_reports:
-  template: |
-      You are an AI assistant that helps a human analyst to perform general information discovery. Information discovery is the process of identifying and assessing relevant information associated with certain entities (e.g., organizations and individuals) within a network.
-
-      # Goal
-      Write a comprehensive report of a community, given a list of entities that belong to the community as well as their relationships and optional associated claims. The report will be used to inform decision-makers about information associated with the community and their potential impact. The content of this report includes an overview of the community's key entities, their legal compliance, technical capabilities, reputation, and noteworthy claims.
-
-      # Report Structure
-
-      The report should include the following sections:
-
-      - TITLE: community's name that represents its key entities - title should be short but specific. When possible, include representative named entities in the title.
-      - SUMMARY: An executive summary of the community's overall structure, how its entities are related to each other, and significant information associated with its entities.
-      - IMPACT SEVERITY RATING: a float score between 0-10 that represents the severity of IMPACT posed by entities within the community.  IMPACT is the scored importance of a community.
-      - RATING EXPLANATION: Give a single sentence explanation of the IMPACT severity rating.
-      - DETAILED FINDINGS: A list of 5-10 key insights about the community. Each insight should have a short summary followed by multiple paragraphs of explanatory text grounded according to the grounding rules below. Be comprehensive.
-
-      Return output as a well-formed JSON-formatted string with the following format:
-          {{
-              "title": <report_title>,
-              "summary": <executive_summary>,
-              "rating": <impact_severity_rating>,
-              "rating_explanation": <rating_explanation>,
-              "findings": [
-                  {{
-                      "summary":<insight_1_summary>,
-                      "explanation": <insight_1_explanation>
-                  }},
-                  {{
-                      "summary":<insight_2_summary>,
-                      "explanation": <insight_2_explanation>
-                  }}
-              ]
-          }}
-
-      # Grounding Rules
-
-      Points supported by data should list their data references as follows:
-
-      "This is an example sentence supported by multiple data references [Data: <dataset name> (record ids); <dataset name> (record ids)]."
-
-      Do not list more than 5 record ids in a single reference. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more.
-
-      For example:
-      "Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (1), Entities (5, 7); Relationships (23); Claims (7, 2, 34, 64, 46, +more)]."
-
-      where 1, 5, 7, 23, 2, 34, 46, and 64 represent the id (not the index) of the relevant data record.
-
-      Do not include information where the supporting evidence for it is not provided.
-
-
-      # Example Input
-      -----------
-      Text:
-
-      Entities
-
-      id,entity,description
-      5,VERDANT OASIS PLAZA,Verdant Oasis Plaza is the location of the Unity March
-      6,HARMONY ASSEMBLY,Harmony Assembly is an organization that is holding a march at Verdant Oasis Plaza
-
-      Relationships
-
-      id,source,target,description
-      37,VERDANT OASIS PLAZA,UNITY MARCH,Verdant Oasis Plaza is the location of the Unity March
-      38,VERDANT OASIS PLAZA,HARMONY ASSEMBLY,Harmony Assembly is holding a march at Verdant Oasis Plaza
-      39,VERDANT OASIS PLAZA,UNITY MARCH,The Unity March is taking place at Verdant Oasis Plaza
-      40,VERDANT OASIS PLAZA,TRIBUNE SPOTLIGHT,Tribune Spotlight is reporting on the Unity march taking place at Verdant Oasis Plaza
-      41,VERDANT OASIS PLAZA,BAILEY ASADI,Bailey Asadi is speaking at Verdant Oasis Plaza about the march
-      43,HARMONY ASSEMBLY,UNITY MARCH,Harmony Assembly is organizing the Unity March
-
-      Output:
-      {{
-          "title": "Verdant Oasis Plaza and Unity March",
-          "summary": "The community revolves around the Verdant Oasis Plaza, which is the location of the Unity March. The plaza has relationships with the Harmony Assembly, Unity March, and Tribune Spotlight, all of which are associated with the march event.",
-          "rating": 5.0,
-          "rating_explanation": "The impact severity rating is moderate due to the potential for unrest or conflict during the Unity March.",
-          "findings": [
-              {{
-                  "summary": "Verdant Oasis Plaza as the central location",
-                  "explanation": "Verdant Oasis Plaza is the central entity in this community, serving as the location for the Unity March. This plaza is the common link between all other entities, suggesting its significance in the community. The plaza's association with the march could potentially lead to issues such as public disorder or conflict, depending on the nature of the march and the reactions it provokes. [Data: Entities (5), Relationships (37, 38, 39, 40, 41,+more)]"
-              }},
-              {{
-                  "summary": "Harmony Assembly's role in the community",
-                  "explanation": "Harmony Assembly is another key entity in this community, being the organizer of the march at Verdant Oasis Plaza. The nature of Harmony Assembly and its march could be a potential source of threat, depending on their objectives and the reactions they provoke. The relationship between Harmony Assembly and the plaza is crucial in understanding the dynamics of this community. [Data: Entities(6), Relationships (38, 43)]"
-              }},
-              {{
-                  "summary": "Unity March as a significant event",
-                  "explanation": "The Unity March is a significant event taking place at Verdant Oasis Plaza. This event is a key factor in the community's dynamics and could be a potential source of threat, depending on the nature of the march and the reactions it provokes. The relationship between the march and the plaza is crucial in understanding the dynamics of this community. [Data: Relationships (39)]"
-              }},
-              {{
-                  "summary": "Role of Tribune Spotlight",
-                  "explanation": "Tribune Spotlight is reporting on the Unity March taking place in Verdant Oasis Plaza. This suggests that the event has attracted media attention, which could amplify its impact on the community. The role of Tribune Spotlight could be significant in shaping public perception of the event and the entities involved. [Data: Relationships (40)]"
-              }}
-          ]
-      }}
-
-
-      # Real Data
-
-      Use the following text for your answer. Do not make anything up in your answer.
-
-      Text:
-      {input_text}
-
-      The report should include the following sections:
-
-      - TITLE: community's name that represents its key entities - title should be short but specific. When possible, include representative named entities in the title.
-      - SUMMARY: An executive summary of the community's overall structure, how its entities are related to each other, and significant information associated with its entities.
-      - IMPACT SEVERITY RATING: a float score between 0-10 that represents the severity of IMPACT posed by entities within the community.  IMPACT is the scored importance of a community.
-      - RATING EXPLANATION: Give a single sentence explanation of the IMPACT severity rating.
-      - DETAILED FINDINGS: A list of 5-10 key insights about the community. Each insight should have a short summary followed by multiple paragraphs of explanatory text grounded according to the grounding rules below. Be comprehensive.
-
-      Return output as a well-formed JSON-formatted string with the following format:
-          {{
-              "title": <report_title>,
-              "summary": <executive_summary>,
-              "rating": <impact_severity_rating>,
-              "rating_explanation": <rating_explanation>,
-              "findings": [
-                  {{
-                      "summary":<insight_1_summary>,
-                      "explanation": <insight_1_explanation>
-                  }},
-                  {{
-                      "summary":<insight_2_summary>,
-                      "explanation": <insight_2_explanation>
-                  }}
-              ]
-          }}
-
-      # Grounding Rules
-
-      Points supported by data should list their data references as follows:
-
-      "This is an example sentence supported by multiple data references [Data: <dataset name> (record ids); <dataset name> (record ids)]."
-
-      Do not list more than 5 record ids in a single reference. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more.
-
-      For example:
-      "Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (1), Entities (5, 7); Relationships (23); Claims (7, 2, 34, 64, 46, +more)]."
-
-      where 1, 5, 7, 23, 2, 34, 46, and 64 represent the id (not the index) of the relevant data record.
-
-      Do not include information where the supporting evidence for it is not provided.
-
-      Output:"""
-
-  input_types:
-    input_text: str
diff --git a/py/core/providers/prompts/defaults/graphrag_community_reports_prompt.yaml b/py/core/providers/prompts/defaults/graphrag_community_reports_prompt.yaml
new file mode 100644
index 000000000..87e8dbc69
--- /dev/null
+++ b/py/core/providers/prompts/defaults/graphrag_community_reports_prompt.yaml
@@ -0,0 +1,95 @@
+graphrag_community_reports_prompt:
+  template: |
+      You are an AI assistant that helps a human analyst perform information discovery within the ecosystem of Y Combinator startups. Information discovery is the process of identifying and assessing relevant information associated with certain startups and their interconnections within the Y Combinator network.
+
+      # Goal
+      Write a comprehensive report of a Y Combinator community, given a list of startups that belong to the community, their relationships, and optional associated claims. The report will be used to inform decision-makers about information related to the startups and their potential impact. The content of this report includes an overview of the community's key startups, their funding status, technical capabilities, reputation, and noteworthy claims.
+
+      # Report Structure
+
+      The report should include the following sections:
+
+      - TITLE: The community's name that represents its key startups - the title should be short but specific. When possible, include representative startup names in the title.
+      - SUMMARY: An executive summary of the community's overall structure, how its startups are related to each other, and significant information associated with its startups.
+      - IMPACT SEVERITY RATING: A float score between 0-10 that represents the severity of IMPACT posed by startups within the community. IMPACT is the scored importance of the community.
+      - RATING EXPLANATION: Provide a single sentence explanation of the IMPACT severity rating.
+      - DETAILED FINDINGS: A list of 5-10 key insights about the community. Each finding should be a comprehensive statement grounded according to the grounding rules below.
+
+      Return output as a well-formed JSON-formatted string with the following format:
+      ```json
+      {{
+          "title": <report_title>,
+          "summary": <executive_summary>,
+          "rating": <impact_severity_rating>,
+          "rating_explanation": <rating_explanation>,
+          "findings": [
+              "<finding1>",
+              "<finding2>",
+              "<finding3>",
+              "<finding4>",
+              "<finding5>"
+              // Additional findings...
+          ]
+      }}
+      ```
+
+      # Grounding Rules
+
+      Points supported by data should list their data references as follows:
+
+      "This is an example sentence supported by multiple data references [Data: <dataset name> (record ids); <dataset name> (record ids)]."
+
+      Do not list more than 5 record ids in a single reference. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more.
+
+      For example:
+      "Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (1), Entities (5, 7); Relationships (23)."
+
+      where 1, 5, 7, 23, 2, 34, 46, and 64 represent the id (not the index) of the relevant data record.
+
+      Do not include information where the supporting evidence for it is not provided.
+
+      # Example Input
+      -----------
+      Text:
+
+      Entities
+
+      id,startup,description
+      101,OpenAI,OpenAI is an AI research and deployment company.
+      102,Stripe,Stripe is a technology company that builds economic infrastructure for the internet.
+      103,Airbnb,Airbnb is an online marketplace for lodging and tourism experiences.
+
+      Relationships
+
+      id,source,target,description
+      201,OpenAI,Stripe,OpenAI partnered with Stripe to integrate payment solutions.
+      202,Stripe,Airbnb,Stripe provides payment processing services to Airbnb.
+      203,Airbnb,OpenAI,Airbnb utilizes OpenAI's AI tools for customer service.
+      204,Stripe,OpenAI,Stripe invested in OpenAI's latest funding round.
+      205,Airbnb,Stripe,Airbnb and Stripe collaborate on expanding global payment options.
+
+      Output:
+      {{
+          "title": "OpenAI, Stripe, and Airbnb Community",
+          "summary": "The community comprises key startups like OpenAI, Stripe, and Airbnb, which are interconnected through strategic partnerships and investments. These relationships highlight a robust network focused on advancing AI technologies, payment infrastructure, and online marketplaces.",
+          "rating": 7.5,
+          "rating_explanation": "The impact severity rating is high due to the significant influence these startups have on technology, finance, and the global economy.",
+          "findings": [
+              "OpenAI stands out as a leader in artificial intelligence research and deployment within the Y Combinator community. Its partnerships with companies like Stripe and Airbnb demonstrate its integral role in integrating AI solutions across various industries. OpenAI's influence is further amplified by its involvement in key projects that drive innovation and efficiency. [Data: Entities (101), Relationships (201, 203, 204, +more)]",
+              "Stripe serves as a critical financial infrastructure provider, facilitating payment processing for startups like Airbnb and partnering with OpenAI to enhance payment solutions. Its strategic investments and collaborations underscore its importance in the Y Combinator ecosystem, enabling seamless financial transactions and supporting startup growth. [Data: Entities (102), Relationships (201, 202, 204, 205, +more)]",
+              "Airbnb leverages OpenAI's artificial intelligence tools to enhance its customer service capabilities, showcasing the practical application of AI in improving user experience. This integration highlights Airbnb's commitment to innovation and efficiency, positioning it as a forward-thinking leader within the community. [Data: Entities (103), Relationships (203, 205, +more)]",
+              "Stripe's investment in OpenAI's latest funding round illustrates the strategic financial moves that drive growth and innovation within the Y Combinator community. Such investments not only strengthen partnerships but also foster an environment of collaboration and shared success among startups. [Data: Relationships (204)]",
+              "The collaboration between Airbnb and Stripe to expand global payment options demonstrates a commitment to scalability and accessibility in the Y Combinator ecosystem. This initiative is pivotal in enabling startups to reach a broader international market, thereby increasing their impact and revenue potential. [Data: Relationships (205)]"
+          ]
+      }}
+
+      # Real Data
+
+      Use the following text for your answer. Do not make anything up in your answer.
+
+      Text:
+      {input_text}
+
+      Output:
+  input_types:
+    input_text: str
diff --git a/py/core/providers/prompts/defaults/graphrag_triplet_extraction_zero_shot.yaml b/py/core/providers/prompts/defaults/graphrag_triplet_extraction_zero_shot.yaml
index 1b1f2bd8b..e4675268a 100644
--- a/py/core/providers/prompts/defaults/graphrag_triplet_extraction_zero_shot.yaml
+++ b/py/core/providers/prompts/defaults/graphrag_triplet_extraction_zero_shot.yaml
@@ -22,17 +22,99 @@ graphrag_triplet_extraction_zero_shot:
     Format each relationship as ("relationship"$$$$<source_entity>$$$$<target_entity>$$$$<relation>$$$$<relationship_description>$$$$<relationship_weight>)
     3. Make sure that each entity has at least one relationship. If you are not able to find a relationship from the pair of entities above, first create a new entity based on the source entity description and then create a relationship connecting them.
        Again, make sure that each entity has at least one relationship. If you don't do this, you will be fired.
-    3. When finished, output.
-    -Real Data-
+    3. When finished, output in the format in as given in the examples below. Do not repeat the same entity or relationship multiple times.
+
+    Example 1:
+    If the list is empty, extract all entities and relations.
+    Entity_types:
+    Relation_types:
+    Text:
+    The Verdantis's Central Institution is scheduled to meet on Monday and Thursday, with the institution planning to release its latest policy decision on Thursday at 1:30 p.m. PDT, followed by a press conference where Central Institution Chair Martin Smith will take questions. Investors expect the Market Strategy Committee to hold its benchmark interest rate steady in a range of 3.5%-3.75%.
     ######################
-    text: {input}
+    Output:
+    ("entity"$$$$Central Institution$$$$Organization$$$$The central bank of Verdantis, responsible for monetary policy and setting interest rates)
+    ("entity"$$$$Martin Smith$$$$Person$$$$Chair of the Central Institution of Verdantis)
+    ("entity"$$$$Market Strategy Committee$$$$Organization$$$$Committee within the Central Institution that makes key decisions on monetary policy)
+    ("entity"$$$$Monday$$$$Time$$$$First meeting day of the Central Institution)
+    ("entity"$$$$Thursday$$$$Time$$$$Second meeting day of the Central Institution, when policy decisions are announced)
+    ("entity"$$$$1:30 PM PDT$$$$Time$$$$Scheduled time for the Central Institution's policy decision release on Thursday)
+    ("entity"$$$$Press Conference$$$$Event$$$$Media briefing held by the Central Institution following the policy decision release)
+    ("entity"$$$$Interest Rate$$$$Economic Concept$$$$Key monetary policy tool used by the Central Institution to influence the economy)
+    ("entity"$$$$3.5%-3.75%$$$$Economic Value$$$$Expected range for the benchmark interest rate)
+    ("relationship"$$$$Martin Smith$$$$Central Institution$$$$Chairs$$$$Martin Smith is the Chair of the Central Institution and will lead the press conference$$$$9)
+    ("relationship"$$$$Central Institution$$$$Press Conference$$$$Conducts$$$$The Central Institution conducts a press conference following its policy decision release$$$$9)
+    ("relationship"$$$$Market Strategy Committee$$$$Central Institution$$$$Part Of$$$$The Market Strategy Committee is a key decision-making body within the Central Institution$$$$9)
+    ("relationship"$$$$Market Strategy Committee$$$$Interest Rate$$$$Sets$$$$The Market Strategy Committee determines the benchmark interest rate$$$$9)
+    ("relationship"$$$$Central Institution$$$$Interest Rate$$$$Controls$$$$The Central Institution controls interest rates as part of its monetary policy$$$$9)
+    ("relationship"$$$$3.5%-3.75%$$$$Interest Rate$$$$Expected Range$$$$Investors anticipate the benchmark interest rate to remain within this range$$$$8)
+    ("relationship"$$$$Monday$$$$Central Institution$$$$Meeting Day$$$$The Central Institution holds its first meeting of the week on Monday$$$$7)
+    ("relationship"$$$$Thursday$$$$Central Institution$$$$Decision Day$$$$The Central Institution announces its policy decision on Thursday$$$$9)
+    ("relationship"$$$$1:30 PM PDT$$$$Central Institution$$$$Press Conference$$$$The policy decision release at 1:30 PM PDT is followed by the press conference$$$$8)
+
     ######################
+    Example 2:
+    If the list is empty, extract all entities and relations.
+    Entity_types: Organization
+    Relation_types: Formerly Owned By
 
-    Only extract entities of the given types. If this list is empty, extract all entities.
-    {entity_types}
+    Text:
+    TechGlobal's (TG) stock skyrocketed in its opening day on the Global Exchange Thursday. But IPO experts warn that the semiconductor corporation's debut on the public markets isn't indicative of how other newly listed companies may perform.
 
-    Only extract relations of the given types. If this list is empty, extract all relations.
-    {relation_types}
+    TechGlobal, a formerly public company, was taken private by Vision Holdings in 2014. The well-established chip designer says it powers 85% of premium smartphones.
+    ######################
+    Output:
+    ("entity"$$$$TECHGLOBAL$$$$Organization$$$$TechGlobal is a stock now listed on the Global Exchange which powers 85% of premium smartphones)
+    ("entity"$$$$VISION HOLDINGS$$$$Organization$$$$Vision Holdings is a firm that previously owned TechGlobal)
+    ("relationship"$$$$TECHGLOBAL$$$$VISION HOLDINGS$$$$Formerly Owned By$$$$Vision Holdings formerly owned TechGlobal from 2014 until present$$$$5)
+
+    ######################
+    Example 3:
+    If the list is empty, extract all entities and relations.
+    Entity_types: Organization,Geo,Person
+    Relation_types: ""
+    Text:
+    Five Aurelians jailed for 8 years in Firuzabad and widely regarded as hostages are on their way home to Aurelia.
+
+    The swap orchestrated by Quintara was finalized when $8bn of Firuzi funds were transferred to financial institutions in Krohaara, the capital of Quintara.
+
+    The exchange initiated in Firuzabad's capital, Tiruzia, led to the four men and one woman, who are also Firuzi nationals, boarding a chartered flight to Krohaara.
+
+    They were welcomed by senior Aurelian officials and are now on their way to Aurelia's capital, Cashion.
+
+    The Aurelians include 39-year-old businessman Samuel Namara, who has been held in Tiruzia's Alhamia Prison, as well as journalist Durke Bataglani, 59, and environmentalist Meggie Tazbah, 53, who also holds Bratinas nationality.
+    ######################
+    Output:
+    ("entity"$$$$FIRUZABAD$$$$Geo$$$$Firuzabad held Aurelians as hostages)
+    ("entity"$$$$AURELIA$$$$Geo$$$$Country seeking to release hostages)
+    ("entity"$$$$QUINTARA$$$$Geo$$$$Country that negotiated a swap of money in exchange for hostages)
+    ("entity"$$$$TIRUZIA$$$$Geo$$$$Capital of Firuzabad where the Aurelians were being held)
+    ("entity"$$$$KROHAARA$$$$Geo$$$$Capital city in Quintara)
+    ("entity"$$$$CASHION$$$$Geo$$$$Capital city in Aurelia)
+    ("entity"$$$$SAMUEL NAMARA$$$$Person$$$$Aurelian who spent time in Tiruzia's Alhamia Prison)
+    ("entity"$$$$ALHAMIA PRISON$$$$Geo$$$$Prison in Tiruzia)
+    ("entity"$$$$DURKE BATAGLANI$$$$Person$$$$Aurelian journalist who was held hostage)
+    ("entity"$$$$MEGGIE TAZBAH$$$$Person$$$$Bratinas national and environmentalist who was held hostage)
+    ("relationship"$$$$FIRUZABAD$$$$AURELIA$$$$Negotiated Hostage Exchange$$$$Firuzabad negotiated a hostage exchange with Aurelia$$$$2)
+    ("relationship"$$$$QUINTARA$$$$AURELIA$$$$Negotiated Hostage Exchange$$$$Quintara brokered the hostage exchange between Firuzabad and Aurelia$$$$2)
+    ("relationship"$$$$QUINTARA$$$$FIRUZABAD$$$$Negotiated Hostage Exchange$$$$Quintara brokered the hostage exchange between Firuzabad and Aurelia$$$$2)
+    ("relationship"$$$$SAMUEL NAMARA$$$$ALHAMIA PRISON$$$$Held At Alhamia Prison$$$$Samuel Namara was a prisoner at Alhamia prison$$$$8)
+    ("relationship"$$$$SAMUEL NAMARA$$$$MEGGIE TAZBAH$$$$Exchanged Hostages$$$$Samuel Namara and Meggie Tazbah were exchanged in the same hostage release$$$$2)
+    ("relationship"$$$$SAMUEL NAMARA$$$$DURKE BATAGLANI$$$$Exchanged Hostages$$$$Samuel Namara and Durke Bataglani were exchanged in the same hostage release$$$$2)
+    ("relationship"$$$$MEGGIE TAZBAH$$$$DURKE BATAGLANI$$$$Exchanged Hostages$$$$Meggie Tazbah and Durke Bataglani were exchanged in the same hostage release$$$$2)
+    ("relationship"$$$$SAMUEL NAMARA$$$$FIRUZABAD$$$$Held As Hostage$$$$Samuel Namara was a hostage in Firuzabad$$$$2)
+    ("relationship"$$$$MEGGIE TAZBAH$$$$FIRUZABAD$$$$Held As Hostage$$$$Meggie Tazbah was a hostage in Firuzabad$$$$2)
+    ("relationship"$$$$DURKE BATAGLANI$$$$FIRUZABAD$$$$Held As Hostage$$$$Durke Bataglani was a hostage in Firuzabad$$$$2)
+
+    -Real Data-
+    ######################
+    If the list is empty, extract all entities and relations.
+    Entity_types: {entity_types}
+    Relation_types: {relation_types}
+
+    Text:
+    {input}
+    ######################
+    Output:
 
   input_types:
     max_knowledge_triples: int
diff --git a/py/core/providers/prompts/r2r_prompts.py b/py/core/providers/prompts/r2r_prompts.py
index 51e4e6d1c..0df76cfb8 100644
--- a/py/core/providers/prompts/r2r_prompts.py
+++ b/py/core/providers/prompts/r2r_prompts.py
@@ -7,18 +7,17 @@
 import asyncpg
 import yaml
 
-from core.base import Prompt, PromptConfig, PromptProvider
+from core.base import DatabaseProvider, Prompt, PromptConfig, PromptProvider
 from core.base.utils import generate_id_from_label
-from core.providers.database.postgres import PostgresDBProvider
 
 logger = logging.getLogger(__name__)
 
 
 class R2RPromptProvider(PromptProvider):
-    def __init__(self, config: PromptConfig, db_provider: PostgresDBProvider):
+    def __init__(self, config: PromptConfig, db_provider: DatabaseProvider):
         super().__init__(config)
         self.prompts: dict[str, Prompt] = {}
-        self.config = config
+        self.config: PromptConfig = config
         self.db_provider = db_provider
         self.pool: Optional[asyncpg.pool.Pool] = None  # Initialize pool
 
@@ -109,7 +108,7 @@ async def _load_prompts_from_database(self):
             results = await self.fetch_query(query)
             for row in results:
                 (
-                    prompt_id,
+                    _,
                     name,
                     template,
                     input_types,
diff --git a/py/core/telemetry/events.py b/py/core/telemetry/events.py
index 70f192e29..0151a5fcc 100644
--- a/py/core/telemetry/events.py
+++ b/py/core/telemetry/events.py
@@ -1,5 +1,5 @@
 import uuid
-from typing import Any, Dict
+from typing import Any, Dict, Optional
 
 
 class BaseTelemetryEvent:
@@ -16,7 +16,10 @@ def __init__(self, user_id: str):
 
 class FeatureUsageEvent(BaseTelemetryEvent):
     def __init__(
-        self, user_id: str, feature: str, properties: Dict[str, Any] = None
+        self,
+        user_id: str,
+        feature: str,
+        properties: Optional[Dict[str, Any]] = None,
     ):
         super().__init__(
             "FeatureUsage",
@@ -34,7 +37,7 @@ def __init__(
         user_id: str,
         endpoint: str,
         error_message: str,
-        properties: Dict[str, Any] = None,
+        properties: Optional[Dict[str, Any]] = None,
     ):
         super().__init__(
             "Error",
@@ -49,7 +52,10 @@ def __init__(
 
 class RequestLatencyEvent(BaseTelemetryEvent):
     def __init__(
-        self, endpoint: str, latency: float, properties: Dict[str, Any] = None
+        self,
+        endpoint: str,
+        latency: float,
+        properties: Optional[Dict[str, Any]] = None,
     ):
         super().__init__(
             "RequestLatency",
@@ -63,7 +69,10 @@ def __init__(
 
 class GeographicDistributionEvent(BaseTelemetryEvent):
     def __init__(
-        self, user_id: str, country: str, properties: Dict[str, Any] = None
+        self,
+        user_id: str,
+        country: str,
+        properties: Optional[Dict[str, Any]] = None,
     ):
         super().__init__(
             "GeographicDistribution",
@@ -77,7 +86,10 @@ def __init__(
 
 class SessionDurationEvent(BaseTelemetryEvent):
     def __init__(
-        self, user_id: str, duration: float, properties: Dict[str, Any] = None
+        self,
+        user_id: str,
+        duration: float,
+        properties: Optional[Dict[str, Any]] = None,
     ):
         super().__init__(
             "SessionDuration",
@@ -91,7 +103,10 @@ def __init__(
 
 class UserPathEvent(BaseTelemetryEvent):
     def __init__(
-        self, user_id: str, path: str, properties: Dict[str, Any] = None
+        self,
+        user_id: str,
+        path: str,
+        properties: Optional[Dict[str, Any]] = None,
     ):
         super().__init__(
             "UserPath",
diff --git a/py/core/telemetry/posthog.py b/py/core/telemetry/posthog.py
index 05bc5c3fb..200244ee8 100644
--- a/py/core/telemetry/posthog.py
+++ b/py/core/telemetry/posthog.py
@@ -3,7 +3,7 @@
 
 import posthog
 
-from core.telemetry.events import BaseTelemetryEvent
+from core.telemetry.events import BaseTelemetryEvent  # type: ignore
 
 logger = logging.getLogger(__name__)
 
diff --git a/py/core/utils/__init__.py b/py/core/utils/__init__.py
new file mode 100644
index 000000000..e43dc06c9
--- /dev/null
+++ b/py/core/utils/__init__.py
@@ -0,0 +1,34 @@
+from shared.utils.base_utils import (
+    decrement_version,
+    format_entity_types,
+    format_relations,
+    format_search_results_for_llm,
+    format_search_results_for_stream,
+    generate_id_from_label,
+    generate_run_id,
+    generate_user_document_id,
+    increment_version,
+    run_pipeline,
+    to_async_generator,
+)
+from shared.utils.splitter.text import (
+    RecursiveCharacterTextSplitter,
+    TextSplitter,
+)
+
+__all__ = [
+    "format_entity_types",
+    "format_relations",
+    "generate_id_from_label",
+    "format_search_results_for_stream",
+    "format_search_results_for_llm",
+    "generate_run_id",
+    "generate_user_document_id",
+    "increment_version",
+    "decrement_version",
+    "run_pipeline",
+    "to_async_generator",
+    # Text splitter
+    "RecursiveCharacterTextSplitter",
+    "TextSplitter",
+]
diff --git a/py/poetry.lock b/py/poetry.lock
index f7c653424..bdf282345 100644
--- a/py/poetry.lock
+++ b/py/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -206,13 +206,13 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.4.0"
+version = "4.5.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
-    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
+    {file = "anyio-4.5.0-py3-none-any.whl", hash = "sha256:fdeb095b7cc5a5563175eedd926ec4ae55413bb4be5770c424af0ba46ccb4a78"},
+    {file = "anyio-4.5.0.tar.gz", hash = "sha256:c5a275fe5ca0afd788001f58fca1e69e29ce706d746e317d660e21f70c530ef9"},
 ]
 
 [package.dependencies]
@@ -222,9 +222,9 @@ sniffio = ">=1.1"
 typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.23)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
+trio = ["trio (>=0.26.1)"]
 
 [[package]]
 name = "apscheduler"
@@ -476,17 +476,17 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "boto3"
-version = "1.35.19"
+version = "1.35.24"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.35.19-py3-none-any.whl", hash = "sha256:84b3fe1727945bc3cada832d969ddb3dc0d08fce1677064ca8bdc13a89c1a143"},
-    {file = "boto3-1.35.19.tar.gz", hash = "sha256:9979fe674780a0b7100eae9156d74ee374cd1638a9f61c77277e3ce712f3e496"},
+    {file = "boto3-1.35.24-py3-none-any.whl", hash = "sha256:97fcc1a14cbc759e4ba9535ced703a99fcf652c9c4b8dfcd06f292c80551684b"},
+    {file = "boto3-1.35.24.tar.gz", hash = "sha256:be7807f30f26d6c0057e45cfd09dad5968e664488bf4f9138d0bb7a0f6d8ed40"},
 ]
 
 [package.dependencies]
-botocore = ">=1.35.19,<1.36.0"
+botocore = ">=1.35.24,<1.36.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -495,13 +495,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.35.19"
+version = "1.35.24"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.35.19-py3-none-any.whl", hash = "sha256:c83f7f0cacfe7c19b109b363ebfa8736e570d24922f16ed371681f58ebab44a9"},
-    {file = "botocore-1.35.19.tar.gz", hash = "sha256:42d6d8db7250cbd7899f786f9861e02cab17dc238f64d6acb976098ed9809625"},
+    {file = "botocore-1.35.24-py3-none-any.whl", hash = "sha256:eb9ccc068255cc3d24c36693fda6aec7786db05ae6c2b13bcba66dce6a13e2e3"},
+    {file = "botocore-1.35.24.tar.gz", hash = "sha256:1e59b0f14f4890c4f70bd6a58a634b9464bed1c4c6171f87c8795d974ade614b"},
 ]
 
 [package.dependencies]
@@ -538,7 +538,7 @@ files = [
 name = "cffi"
 version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
@@ -966,7 +966,7 @@ toml = ["tomli"]
 name = "cryptography"
 version = "43.0.1"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "cryptography-43.0.1-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:8385d98f6a3bf8bb2d65a73e17ed87a3ba84f6991c155691c51112075f9ffc5d"},
@@ -1102,7 +1102,7 @@ files = [
 name = "distro"
 version = "1.9.0"
 description = "Distro - an OS platform information API"
-optional = true
+optional = false
 python-versions = ">=3.6"
 files = [
     {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
@@ -1164,13 +1164,13 @@ idna = ">=2.0.0"
 
 [[package]]
 name = "emoji"
-version = "2.12.1"
+version = "2.13.0"
 description = "Emoji for Python"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "emoji-2.12.1-py3-none-any.whl", hash = "sha256:a00d62173bdadc2510967a381810101624a2f0986145b8da0cffa42e29430235"},
-    {file = "emoji-2.12.1.tar.gz", hash = "sha256:4aa0488817691aa58d83764b6c209f8a27c0b3ab3f89d1b8dceca1a62e4973eb"},
+    {file = "emoji-2.13.0-py3-none-any.whl", hash = "sha256:6c8027f02c448731fd5f13e38521e14594e48e9c5d2c3862f95d086d8aa84a7c"},
+    {file = "emoji-2.13.0.tar.gz", hash = "sha256:e32e46a1b4445dffbc37cc82ea2d0dacb9323b857f14297eba7decaadfb4890e"},
 ]
 
 [package.dependencies]
@@ -1206,37 +1206,38 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "fastapi"
-version = "0.109.2"
+version = "0.114.2"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "fastapi-0.109.2.tar.gz", hash = "sha256:f3817eac96fe4f65a2ebb4baa000f394e55f5fccdaf7f75250804bc58f354f73"},
+    {file = "fastapi-0.114.2-py3-none-any.whl", hash = "sha256:44474a22913057b1acb973ab90f4b671ba5200482e7622816d79105dcece1ac5"},
+    {file = "fastapi-0.114.2.tar.gz", hash = "sha256:0adb148b62edb09e8c6eeefa3ea934e8f276dabc038c5a82989ea6346050c3da"},
 ]
 
 [package.dependencies]
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
-starlette = ">=0.36.3,<0.37.0"
+starlette = ">=0.37.2,<0.39.0"
 typing-extensions = ">=4.8.0"
 
 [package.extras]
-all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "python-multipart (>=0.0.7)", "uvicorn[standard] (>=0.12.0)"]
 
 [[package]]
 name = "filelock"
-version = "3.16.0"
+version = "3.16.1"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "filelock-3.16.0-py3-none-any.whl", hash = "sha256:f6ed4c963184f4c84dd5557ce8fece759a3724b37b80c6c4f20a2f63a4dc6609"},
-    {file = "filelock-3.16.0.tar.gz", hash = "sha256:81de9eb8453c769b63369f87f11131a7ab04e367f8d97ad39dc230daa07e3bec"},
+    {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"},
+    {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"},
 ]
 
 [package.extras]
-docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4)"]
-testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.1.1)", "pytest (>=8.3.2)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.3)"]
+docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
 typing = ["typing-extensions (>=4.12.2)"]
 
 [[package]]
@@ -1510,13 +1511,13 @@ files = [
 
 [[package]]
 name = "google-api-core"
-version = "2.19.2"
+version = "2.20.0"
 description = "Google API client core library"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "google_api_core-2.19.2-py3-none-any.whl", hash = "sha256:53ec0258f2837dd53bbd3d3df50f5359281b3cc13f800c941dd15a9b5a415af4"},
-    {file = "google_api_core-2.19.2.tar.gz", hash = "sha256:ca07de7e8aa1c98a8bfca9321890ad2340ef7f2eb136e558cee68f24b94b0a8f"},
+    {file = "google_api_core-2.20.0-py3-none-any.whl", hash = "sha256:ef0591ef03c30bb83f79b3d0575c3f31219001fc9c5cf37024d08310aeffed8a"},
+    {file = "google_api_core-2.20.0.tar.gz", hash = "sha256:f74dff1889ba291a4b76c5079df0711810e2d9da81abfdc99957bc961c1eb28f"},
 ]
 
 [package.dependencies]
@@ -1541,13 +1542,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-auth"
-version = "2.34.0"
+version = "2.35.0"
 description = "Google Authentication Library"
 optional = true
 python-versions = ">=3.7"
 files = [
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+    {file = "google_auth-2.35.0-py2.py3-none-any.whl", hash = "sha256:25df55f327ef021de8be50bad0dfd4a916ad0de96da86cd05661c9297723ad3f"},
+    {file = "google_auth-2.35.0.tar.gz", hash = "sha256:f4c64ed4e01e8e8b646ef34c018f8bf3338df0c8e37d8b3bba40e7f574a3278a"},
 ]
 
 [package.dependencies]
@@ -1598,77 +1599,84 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
 [[package]]
 name = "greenlet"
-version = "3.1.0"
+version = "3.1.1"
 description = "Lightweight in-process concurrent programming"
 optional = true
 python-versions = ">=3.7"
 files = [
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 [package.extras]
@@ -1727,6 +1735,7 @@ files = [
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 ]
 
 [package.extras]
@@ -1843,13 +1852,13 @@ files = [
 
 [[package]]
 name = "hatchet-sdk"
-version = "0.36.22"
+version = "0.36.24"
 description = ""
 optional = false
 python-versions = "<4.0,>=3.10"
 files = [
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 ]
 
 [package.dependencies]
@@ -1916,13 +1925,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.24.7"
+version = "0.25.0"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = true
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -1964,13 +1973,13 @@ pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_ve
 
 [[package]]
 name = "identify"
-version = "2.6.0"
+version = "2.6.1"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -1978,15 +1987,18 @@ license = ["ukkonen"]
 
 [[package]]
 name = "idna"
-version = "3.8"
+version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
 files = [
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+[package.extras]
+all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
+
 [[package]]
 name = "imageio"
 version = "2.35.1"
@@ -2128,7 +2140,7 @@ i18n = ["Babel (>=2.7)"]
 name = "jiter"
 version = "0.5.0"
 description = "Fast iterable JSON parser."
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
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@@ -2431,13 +2443,13 @@ tesseract = ["pytesseract"]
 
 [[package]]
 name = "litellm"
-version = "1.45.0"
+version = "1.46.8"
 description = "Library to easily interface with LLM API providers"
 optional = true
 python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
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 [package.dependencies]
@@ -3422,13 +3434,13 @@ sympy = "*"
 
 [[package]]
 name = "openai"
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+version = "1.47.0"
 description = "The official Python library for the openai API"
-optional = true
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 python-versions = ">=3.7.1"
 files = [
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 [package.dependencies]
@@ -3509,40 +3521,53 @@ files = [
 
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 python-versions = ">=3.9"
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@@ -3904,13 +3929,13 @@ xmp = ["defusedxml"]
 
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 [[package]]
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 [[package]]
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 version = "2.22"
 description = "C parser in Python"
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 [package.dependencies]
@@ -5535,13 +5575,13 @@ sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
 name = "starlette"
-version = "0.36.3"
+version = "0.38.5"
 description = "The little ASGI library that shines."
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -5552,13 +5592,13 @@ full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7
 
 [[package]]
 name = "sympy"
-version = "1.13.2"
+version = "1.13.3"
 description = "Computer algebra system (CAS) in Python"
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 python-versions = ">=3.8"
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 [package.dependencies]
@@ -5915,7 +5955,7 @@ scipy = ["scipy"]
 name = "tqdm"
 version = "4.66.5"
 description = "Fast, Extensible Progress Meter"
-optional = true
+optional = false
 python-versions = ">=3.7"
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 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
 urllib3 = ">=2"
 
+[[package]]
+name = "types-toml"
+version = "0.10.8.20240310"
+description = "Typing stubs for toml"
+optional = false
+python-versions = ">=3.8"
+files = [
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+
 [[package]]
 name = "typing-extensions"
 version = "4.12.2"
@@ -6096,13 +6147,13 @@ devenv = ["check-manifest", "pytest (>=4.3)", "pytest-cov", "pytest-mock (>=3.3)
 
 [[package]]
 name = "unstructured"
-version = "0.15.12"
+version = "0.15.13"
 description = "A library that prepares raw documents for downstream ML tasks."
 optional = true
 python-versions = "<3.13,>=3.9.0"
 files = [
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-    {file = "unstructured-0.15.12.tar.gz", hash = "sha256:22af44a9c949f9239d2eab2826e002fbbbbdb534a1698d3319a107f982feac2b"},
+    {file = "unstructured-0.15.13-py3-none-any.whl", hash = "sha256:6885add1bb1e4e428cf76f160f4a6f5aed6e707b3b22e69c716efb19a4957dbf"},
+    {file = "unstructured-0.15.13.tar.gz", hash = "sha256:3d62573d8f0caca9211ce5e7f2705d8c7ab67e4427bd18259e218a19bbb21c25"},
 ]
 
 [package.dependencies]
@@ -6155,7 +6206,7 @@ azure-cognitive-search = ["azure-search-documents"]
 bedrock = ["boto3", "langchain-community"]
 biomed = ["bs4"]
 box = ["boxfs", "fsspec"]
-chroma = ["chromadb", "importlib-metadata (>=8.2.0)", "tenacity (==8.5.0)", "typer (<=0.9.0)"]
+chroma = ["chromadb (>0.4.14)", "importlib-metadata (>=8.2.0)", "tenacity (==8.5.0)", "typer (<=0.9.0)"]
 clarifai = ["clarifai"]
 confluence = ["atlassian-python-api"]
 csv = ["pandas"]
@@ -6214,18 +6265,19 @@ xlsx = ["networkx", "openpyxl", "pandas", "xlrd"]
 
 [[package]]
 name = "unstructured-client"
-version = "0.25.8"
+version = "0.25.9"
 description = "Python Client SDK for Unstructured API"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "unstructured-client-0.25.8.tar.gz", hash = "sha256:f2023c6110c1fcf84d0086fb0ba2b5a60e93a4d8d6518dd5213bcfe60449493c"},
-    {file = "unstructured_client-0.25.8-py3-none-any.whl", hash = "sha256:79b23bce01842ea22d4efd832b015877bac39597f90f1cc8d393d4dc0f811279"},
+    {file = "unstructured-client-0.25.9.tar.gz", hash = "sha256:fcc461623f58fefb0e22508e28bf653a8f6934b9779cb4a90dd68d77a39fb5b2"},
+    {file = "unstructured_client-0.25.9-py3-none-any.whl", hash = "sha256:c984c01878c8fc243be7c842467d1113a194d885ab6396ae74258ee42717c5b5"},
 ]
 
 [package.dependencies]
 certifi = ">=2023.7.22"
 charset-normalizer = ">=3.2.0"
+cryptography = ">=3.1"
 dataclasses-json = ">=0.6.4"
 deepdiff = ">=6.0"
 httpx = ">=0.27.0"
@@ -6346,13 +6398,13 @@ text-embedding = ["sentence-transformers (==2.*)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.26.4"
+version = "20.26.5"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "virtualenv-20.26.4-py3-none-any.whl", hash = "sha256:48f2695d9809277003f30776d155615ffc11328e6a0a8c1f0ec80188d7874a55"},
-    {file = "virtualenv-20.26.4.tar.gz", hash = "sha256:c17f4e0f3e6036e9f26700446f85c76ab11df65ff6d8a9cbfad9f71aabfcf23c"},
+    {file = "virtualenv-20.26.5-py3-none-any.whl", hash = "sha256:4f3ac17b81fba3ce3bd6f4ead2749a72da5929c01774948e243db9ba41df4ff6"},
+    {file = "virtualenv-20.26.5.tar.gz", hash = "sha256:ce489cac131aa58f4b25e321d6d186171f78e6cb13fafbf32a840cee67733ff4"},
 ]
 
 [package.dependencies]
@@ -6615,4 +6667,4 @@ core-ingest-movies = ["moviepy", "opencv-python"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.13"
-content-hash = "c883eaea03a71ab7036c7fac91483483a3cb12d78c626522b2a4f2dd2b370fd6"
+content-hash = "cca9a590635991763e49a7f960abf73ba9893c2f24dbe77fdb8e5ae03bd00499"
diff --git a/py/pyproject.toml b/py/pyproject.toml
index e0dae7448..aeda0ac5e 100644
--- a/py/pyproject.toml
+++ b/py/pyproject.toml
@@ -5,7 +5,7 @@ build-backend = "poetry.core.masonry.api"
 [tool.poetry]
 name = "r2r"
 readme = "README.md"
-version = "3.1.38"
+version = "3.1.40"
 description = "SciPhi R2R"
 authors = ["Owen Colegrove <owen@sciphi.ai>"]
 license = "MIT"
@@ -15,6 +15,7 @@ packages = [
     { include = "core", from = "." },
     { include = "cli", from = "." },
     { include = "sdk", from = "." },
+    { include = "shared", from = "." },
 ]
 
 [tool.poetry.dependencies]
@@ -23,10 +24,11 @@ python = ">=3.10,<3.13"
 
 boto3 = "^1.35.17" # for AWS bedrock support
 click = "^8.0.0"
-fastapi = "^0.109.2"
+fastapi = "^0.114.0"
 httpx = "^0.27.0"
 nest-asyncio = "^1.6.0"
 numpy = ">=1.22.4,<1.29.0"
+openai =  "^1.11.1"
 python-dotenv = "^1.0.1"
 hatchet-sdk = "^0.36.17"
 requests = "^2.31.0"
@@ -37,7 +39,6 @@ apscheduler = "^3.10.4"
 
 # Core dependencies (optional)
 future = { version = "^1.0.0", optional = true }
-openai = { version = "^1.11.1", optional = true }
 pydantic = { extras = ["email"], version = "^2.8.2", optional = true }
 python-multipart = { version = "^0.0.9", optional = true }
 fire = { version = "^0.5.0", optional = true }
@@ -85,6 +86,7 @@ core-ingest-movies = ["opencv-python", "moviepy"]
 [tool.poetry.group.dev.dependencies]
 black = "^24.3.0"
 codecov = "^2.1.13"
+colorama = "^0.4.6"
 flake8 = "6.1.0"
 isort = "5.12.0"
 mypy = "^1.5.1"
@@ -94,7 +96,7 @@ pytest-asyncio = "^0.23.6"
 pytest-dependency = "^0.6.0"
 pytest-mock = "^3.14.0"
 pytest-cov = "^5.0.0"
-colorama = "^0.4.6"
+types-toml = "^0.10.8"
 
 [tool.black]
 line-length = 79
diff --git a/py/r2r.toml b/py/r2r.toml
index 4a855f5dd..6b2d857fb 100644
--- a/py/r2r.toml
+++ b/py/r2r.toml
@@ -1,3 +1,7 @@
+[agent]
+system_instruction_name = "rag_agent"
+tool_names = ["search"]
+
 [auth]
 provider = "r2r"
 access_token_lifetime_in_minutes = 60
@@ -43,12 +47,15 @@ add_title_as_prefix = false
 rerank_model = "None"
 concurrent_request_limit = 256
 
+[file]
+provider = "postgres"
+
 [kg]
 provider = "neo4j"
 batch_size = 256
-kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
 
   [kg.kg_creation_settings]
+    kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
     entity_types = [] # if empty, all entities are extracted
     relation_types = [] # if empty, all relations are extracted
     fragment_merge_count = 4 # number of fragments to merge into a single extraction
@@ -56,31 +63,27 @@ kg_extraction_prompt = "graphrag_triplet_extraction_zero_shot"
     generation_config = { model = "gpt-4o-mini" } # and other params, model used for triplet extraction
 
   [kg.kg_enrichment_settings]
+    community_reports_prompt = "graphrag_community_reports_prompt"
     max_description_input_length = 65536
     generation_config = { model = "gpt-4o-mini" } # and other params, model used for node description and graph clustering
     leiden_params = { max_levels = 10 } # more params here: https://neo4j.com/docs/graph-data-science/current/algorithms/leiden/
 
-  [kg.kg_search_config]
-    model = "gpt-4o-mini"
+  [kg.kg_search_settings]
+    map_system_prompt = "graphrag_map_system_prompt"
+    reduce_system_prompt = "graphrag_reduce_system_prompt"
+    generation_config = { model = "gpt-4o-mini" }
 
 [logging]
 provider = "local"
 log_table = "logs"
 log_info_table = "log_info"
 
+[orchestration]
+provider = "hatchet"
+
 [parsing]
 provider = "unstructured_local"
 excluded_parsers = ["mp4"]
 
 [prompt]
 provider = "r2r"
-
-[agent]
-system_instruction_name = "rag_agent"
-tool_names = ["search"]
-
-[file]
-provider = "postgres"
-
-[orchestration]
-provider = "hatchet"
diff --git a/py/r2r/__init__.py b/py/r2r/__init__.py
index 5b07351d6..ab98a96ed 100644
--- a/py/r2r/__init__.py
+++ b/py/r2r/__init__.py
@@ -3,6 +3,7 @@
 import toml
 
 from sdk import *
+from shared import *
 
 pyproject_path = Path(__file__).parent.parent / "pyproject.toml"
 pyproject_data = toml.load(pyproject_path)
diff --git a/py/sdk/ingestion.py b/py/sdk/ingestion.py
index 818dacf1b..4e663a986 100644
--- a/py/sdk/ingestion.py
+++ b/py/sdk/ingestion.py
@@ -37,14 +37,13 @@ async def ingest_files(
             raise ValueError(
                 "Number of metadatas must match number of document IDs."
             )
-        if (
-            chunking_config is not None
-            and chunking_config is not ChunkingConfig
+        if chunking_config is not None and not isinstance(
+            chunking_config, ChunkingConfig
         ):
             # check if the provided dict maps to a ChunkingConfig
             ChunkingConfig(**chunking_config)
 
-        all_file_paths = []
+        all_file_paths: list[str] = []
         for path in file_paths:
             if os.path.isdir(path):
                 for root, _, files in os.walk(path):
@@ -55,7 +54,7 @@ async def ingest_files(
                 all_file_paths.append(path)
 
         with ExitStack() as stack:
-            files = [
+            files_tuples = [
                 (
                     "files",
                     (
@@ -84,8 +83,9 @@ async def ingest_files(
                     else None
                 ),
             }
+
             return await client._make_request(
-                "POST", "ingest_files", data=data, files=files
+                "POST", "ingest_files", data=data, files=files_tuples
             )
 
     @staticmethod
@@ -159,7 +159,7 @@ async def update_files(
                 data["metadatas"] = json.dumps(metadatas)
             if chunking_config:
                 data["chunking_config"] = (
-                    chunking_config.model_dump()
+                    chunking_config.model_dump()  # type: ignore
                     if isinstance(chunking_config, ChunkingConfig)
                     else chunking_config
                 )
diff --git a/py/sdk/management.py b/py/sdk/management.py
index 1feb9ccce..f1ea1d999 100644
--- a/py/sdk/management.py
+++ b/py/sdk/management.py
@@ -22,7 +22,7 @@ async def update_prompt(
         Returns:
             dict: The response from the server.
         """
-        data = {name: name}
+        data: dict = {name: name}
         if template is not None:
             data["template"] = template
         if input_types is not None:
@@ -82,31 +82,6 @@ async def get_prompt(
             "GET", f"get_prompt/{prompt_name}", params=params
         )
 
-    @staticmethod
-    async def update_prompt(
-        client,
-        name: str,
-        template: Optional[str] = None,
-        input_types: Optional[dict[str, str]] = None,
-    ) -> dict:
-        """
-        Update an existing prompt in the system.
-
-        Args:
-            name (str): The name of the prompt to update.
-            template (Optional[str]): The new template for the prompt.
-            input_types (Optional[dict[str, str]]): The new input types for the prompt.
-
-        Returns:
-            dict: The response from the server.
-        """
-        data = {"name": name}
-        if template is not None:
-            data["template"] = template
-        if input_types is not None:
-            data["input_types"] = input_types
-        return await client._make_request("POST", "update_prompt", json=data)
-
     @staticmethod
     async def get_all_prompts(client) -> dict:
         """
@@ -209,7 +184,7 @@ async def users_overview(
         Returns:
             dict: The overview of users in the system.
         """
-        params = {}
+        params: dict = {}
         if user_ids is not None:
             params["user_ids"] = [str(uid) for uid in user_ids]
         if offset is not None:
@@ -274,7 +249,7 @@ async def documents_overview(
         Returns:
             dict: The overview of documents in the system.
         """
-        params = {}
+        params: dict = {}
         document_ids = (
             [str(doc_id) for doc_id in document_ids] if document_ids else None
         )
@@ -304,7 +279,7 @@ async def document_chunks(
         Returns:
             dict: The chunks for the document.
         """
-        params = {}
+        params: dict = {}
         if offset is not None:
             params["offset"] = offset
         if limit is not None:
@@ -360,7 +335,7 @@ async def collections_overview(
         Returns:
             dict: The overview of collections in the system.
         """
-        params = {}
+        params: dict = {}
         if collection_ids:
             params["collection_ids"] = collection_ids
         if offset:
@@ -475,7 +450,7 @@ async def delete_user(
         Returns:
             dict: The response from the server.
         """
-        params = {}
+        params: dict = {}
         if password is not None:
             params["password"] = password
         if delete_vector_data:
diff --git a/py/sdk/models.py b/py/sdk/models.py
index 1dd6cfca7..ce39eaf67 100644
--- a/py/sdk/models.py
+++ b/py/sdk/models.py
@@ -1,615 +1,56 @@
-from abc import ABC, abstractmethod
-from datetime import datetime
 from enum import Enum
-from typing import Any, ClassVar, Dict, Optional, Type, Union
-from uuid import UUID
-
-from pydantic import BaseModel, Field
-
-
-class GenerationConfig(BaseModel):
-    _defaults: ClassVar[dict] = {
-        "model": "openai/gpt-4o",
-        "temperature": 0.1,
-        "top_p": 1.0,
-        "max_tokens_to_sample": 1024,
-        "stream": False,
-        "functions": None,
-        "tools": None,
-        "add_generation_kwargs": None,
-        "api_base": None,
-    }
-
-    model: str = Field(
-        default_factory=lambda: GenerationConfig._defaults["model"]
-    )
-    temperature: float = Field(
-        default_factory=lambda: GenerationConfig._defaults["temperature"]
-    )
-    top_p: float = Field(
-        default_factory=lambda: GenerationConfig._defaults["top_p"]
-    )
-    max_tokens_to_sample: int = Field(
-        default_factory=lambda: GenerationConfig._defaults[
-            "max_tokens_to_sample"
-        ]
-    )
-    stream: bool = Field(
-        default_factory=lambda: GenerationConfig._defaults["stream"]
-    )
-    functions: Optional[list[dict]] = Field(
-        default_factory=lambda: GenerationConfig._defaults["functions"]
-    )
-    tools: Optional[list[dict]] = Field(
-        default_factory=lambda: GenerationConfig._defaults["tools"]
-    )
-    add_generation_kwargs: Optional[dict] = Field(
-        default_factory=lambda: GenerationConfig._defaults[
-            "add_generation_kwargs"
-        ]
-    )
-    api_base: Optional[str] = Field(
-        default_factory=lambda: GenerationConfig._defaults["api_base"]
-    )
-
-    @classmethod
-    def set_default(cls, **kwargs):
-        for key, value in kwargs.items():
-            if key in cls._defaults:
-                cls._defaults[key] = value
-            else:
-                raise AttributeError(
-                    f"No default attribute '{key}' in GenerationConfig"
-                )
-
-    def __init__(self, **data):
-        model = data.pop("model", None)
-        if model is not None:
-            super().__init__(model=model, **data)
-        else:
-            super().__init__(**data)
-
-
-class KGSearchSettings(BaseModel):
-    use_kg_search: bool = False
-    kg_search_type: str = "global"  # 'global' or 'local'
-    kg_search_level: Optional[str] = None
-    kg_search_generation_config: Optional[GenerationConfig] = Field(
-        default_factory=GenerationConfig
-    )
-    entity_types: list = []
-    relationships: list = []
-    max_community_description_length: int = 65536
-    max_llm_queries_for_global_search: int = 250
-    local_search_limits: dict[str, int] = {
-        "__Entity__": 20,
-        "__Relationship__": 20,
-        "__Community__": 20,
-    }
-
-
-class ProviderConfig(BaseModel, ABC):
-    """A base provider configuration class"""
-
-    extra_fields: dict[str, Any] = {}
-    provider: Optional[str] = None
-
-    class Config:
-        arbitrary_types_allowed = True
-        ignore_extra = True
-
-    @abstractmethod
-    def validate(self) -> None:
-        pass
-
-    @classmethod
-    def create(cls: Type["ProviderConfig"], **kwargs: Any) -> "ProviderConfig":
-        base_args = cls.model_fields.keys()
-        filtered_kwargs = {
-            k: v if v != "None" else None
-            for k, v in kwargs.items()
-            if k in base_args
-        }
-        instance = cls(**filtered_kwargs)
-        for k, v in kwargs.items():
-            if k not in base_args:
-                instance.extra_fields[k] = v
-        return instance
-
-    @property
-    @abstractmethod
-    def supported_providers(self) -> list[str]:
-        """Define a list of supported providers."""
-        pass
-
-
-class MessageType(Enum):
-    SYSTEM = "system"
-    USER = "user"
-    ASSISTANT = "assistant"
-    FUNCTION = "function"
-    TOOL = "tool"
-
-    def __str__(self):
-        return self.value
-
-
-class Message(BaseModel):
-    role: Union[MessageType, str]
-    content: Optional[str] = None
-    name: Optional[str] = None
-    function_call: Optional[Dict[str, Any]] = None
-    tool_calls: Optional[list[Dict[str, Any]]] = None
-
-
-class Method(str, Enum):
+from typing import Optional
+
+from shared.abstractions import (  # ChunkingConfig,
+    GenerationConfig,
+    HybridSearchSettings,
+    KGCommunityResult,
+    KGCreationSettings,
+    KGEnrichmentSettings,
+    KGEntityResult,
+    KGGlobalResult,
+    KGRelationshipResult,
+    KGSearchMethod,
+    KGSearchResult,
+    KGSearchResultType,
+    KGSearchSettings,
+    Message,
+    MessageType,
+    R2RException,
+    R2RSerializable,
+    Token,
+    VectorSearchResult,
+    VectorSearchSettings,
+)
+from shared.api.models import (
+    KGCreationResponse,
+    KGEnrichmentResponse,
+    RAGResponse,
+    SearchResponse,
+    UserResponse,
+)
+
+
+class Strategy(str, Enum):
+    # Unstructured methods
     BY_TITLE = "by_title"
     BASIC = "basic"
+    # R2R methods
     RECURSIVE = "recursive"
     CHARACTER = "character"
 
 
-class ChunkingConfig(ProviderConfig):
-    provider: str = "r2r"
-    method: Method = Method.RECURSIVE
-    chunk_size: int = 512
-    chunk_overlap: int = 20
-    max_chunk_size: Optional[int] = None
-
-    def validate(self) -> None:
-        if self.provider not in self.supported_providers:
-            raise ValueError(f"Provider {self.provider} is not supported.")
-        if self.chunk_size <= 0:
-            raise ValueError("chunk_size must be greater than 0")
-        if self.chunk_overlap < 0:
-            raise ValueError("chunk_overlap must be non-negative")
-
-    @property
-    def supported_providers(self) -> list[str]:
-        return ["r2r", "unstructured_local", "unstructured_api", None]
-
-    class Config:
-        json_schema_extra = {
-            "type": "object",
-            "properties": {
-                "provider": {"type": "string"},
-                "method": {"type": "string"},
-                "chunk_size": {"type": "integer"},
-                "chunk_overlap": {"type": "integer"},
-                "max_chunk_size": {"type": "integer"},
-            },
-            "required": ["provider", "method", "chunk_size", "chunk_overlap"],
-            "example": {
-                "provider": "r2r",
-                "method": "recursive",
-                "chunk_size": 512,
-                "chunk_overlap": 20,
-                "max_chunk_size": 1024,
-            },
-        }
-
-
-class KGSearchResultType(str, Enum):
-    ENTITY = "entity"
-    RELATIONSHIP = "relationship"
-    COMMUNITY = "community"
-
-
-class KGSearchMethod(str, Enum):
-    LOCAL = "local"
-    GLOBAL = "global"
-
-
-class KGEntityResult(BaseModel):
-    name: str
-    description: str
-    metadata: Optional[dict[str, Any]] = None
-
-    class Config:
-        json_schema_extra = {
-            "name": "Entity Name",
-            "description": "Entity Description",
-            "metadata": {},
-        }
-
-
-class KGRelationshipResult(BaseModel):
-    name: str
-    description: str
-    metadata: Optional[dict[str, Any]] = None
-
-    class Config:
-        json_schema_extra = {
-            "name": "Relationship Name",
-            "description": "Relationship Description",
-            "metadata": {},
-        }
-
-
-class KGCommunityResult(BaseModel):
-    name: str
-    description: str
-    metadata: Optional[dict[str, Any]] = None
-
-    class Config:
-        json_schema_extra = {
-            "name": "Community Name",
-            "description": "Community Description",
-            "metadata": {},
-        }
-
-
-class KGGlobalResult(BaseModel):
-    name: str
-    description: str
-    metadata: Optional[dict[str, Any]] = None
-
-    class Config:
-        json_schema_extra = {
-            "name": "Global Result Name",
-            "description": "Global Result Description",
-            "metadata": {},
-        }
-
-
-class KGSearchResult(BaseModel):
-    method: KGSearchMethod
-    content: Union[
-        KGEntityResult, KGRelationshipResult, KGCommunityResult, KGGlobalResult
-    ]
-    result_type: Optional[KGSearchResultType] = None
-    fragment_ids: Optional[list[UUID]] = None
-    document_ids: Optional[list[UUID]] = None
-    metadata: Optional[dict[str, Any]] = None
-
-    class Config:
-        json_schema_extra = {
-            "method": "local",
-            "content": KGEntityResult.Config.json_schema_extra,
-            "result_type": "entity",
-            "fragment_ids": ["c68dc72e-fc23-5452-8f49-d7bd46088a96"],
-            "document_ids": ["3e157b3a-8469-51db-90d9-52e7d896b49b"],
-            "metadata": {"associated_query": "What is the capital of France?"},
-        }
-
-
-class R2RException(Exception):
-    def __init__(
-        self, message: str, status_code: int, detail: Optional[Any] = None
-    ):
-        self.message = message
-        self.status_code = status_code
-        super().__init__(self.message)
-
-
-class Token(BaseModel):
-    token: str
-    token_type: str
-
-
-class IndexMeasure(str, Enum):
-    """
-    An enum representing the types of distance measures available for indexing.
-
-    Attributes:
-        cosine_distance (str): The cosine distance measure for indexing.
-        l2_distance (str): The Euclidean (L2) distance measure for indexing.
-        max_inner_product (str): The maximum inner product measure for indexing.
-    """
-
-    cosine_distance = "cosine_distance"
-    l2_distance = "l2_distance"
-    max_inner_product = "max_inner_product"
-
-
-class HybridSearchSettings(BaseModel):
-    full_text_weight: float = Field(
-        default=1.0, description="Weight to apply to full text search"
-    )
-    semantic_weight: float = Field(
-        default=5.0, description="Weight to apply to semantic search"
-    )
-    full_text_limit: int = Field(
-        default=200,
-        description="Maximum number of results to return from full text search",
-    )
-    rrf_k: int = Field(
-        default=50, description="K-value for RRF (Rank Reciprocal Fusion)"
-    )
-
-
-class VectorSearchSettings(BaseModel):
-    use_vector_search: bool = Field(
-        default=True, description="Whether to use vector search"
-    )
-    use_hybrid_search: bool = Field(
-        default=False,
-        description="Whether to perform a hybrid search (combining vector and keyword search)",
-    )
-    filters: dict[str, Any] = Field(
-        default_factory=dict,
-        description="Complex logic filters to apply to the vector search, such as `{'document_id': {'$eq': '9fbe403b-c11c-5aae-8ade-ef22980c3ad1'}}`.",
-    )
-    search_limit: int = Field(
-        default=10,
-        description="Maximum number of results to return",
-        ge=1,
-        le=1_000,
-    )
-    selected_collection_ids: list[UUID] = Field(
-        default_factory=list,
-        description="Collection IDs to search for",
-    )
-    index_measure: IndexMeasure = Field(
-        default=IndexMeasure.cosine_distance,
-        description="The distance measure to use for indexing",
-    )
-    include_values: bool = Field(
-        default=True,
-        description="Whether to include search score values in the search results",
-    )
-    include_metadatas: bool = Field(
-        default=True,
-        description="Whether to include element metadata in the search results",
-    )
-    probes: Optional[int] = Field(
-        default=10,
-        description="Number of ivfflat index lists to query. Higher increases accuracy but decreases speed.",
-    )
-    ef_search: Optional[int] = Field(
-        default=40,
-        description="Size of the dynamic candidate list for HNSW index search. Higher increases accuracy but decreases speed.",
-    )
-    hybrid_search_settings: Optional[HybridSearchSettings] = Field(
-        default=HybridSearchSettings(),
-        description="Settings for hybrid search",
-    )
-
-    class Config:
-        json_encoders = {UUID: str}
-        json_schema_extra = {
-            "use_vector_search": True,
-            "use_hybrid_search": True,
-            "filters": {"category": "technology"},
-            "search_limit": 20,
-            "selected_collection_ids": [
-                "2acb499e-8428-543b-bd85-0d9098718220",
-                "3e157b3a-8469-51db-90d9-52e7d896b49b",
-            ],
-            "index_measure": "cosine_distance",
-            "include_metadata": True,
-            "probes": 10,
-            "ef_search": 40,
-            "hybrid_search_settings": {
-                "full_text_weight": 1.0,
-                "semantic_weight": 5.0,
-                "full_text_limit": 200,
-                "rrf_k": 50,
-            },
-        }
-
-    def model_dump(self, *args, **kwargs):
-        dump = super().model_dump(*args, **kwargs)
-        dump["selected_collection_ids"] = [
-            str(uuid) for uuid in dump["selected_collection_ids"]
-        ]
-        return dump
-
-
-class KGCreationSettings(BaseModel):
-
-    entity_types: list[str] = Field(
-        default_factory=list,
-        description="The types of entities to extract.",
-    )
-
-    relation_types: list[str] = Field(
-        default_factory=list,
-        description="The types of relations to extract.",
-    )
-
-    fragment_merge_count: int = Field(
-        default=4,
-        description="The number of fragments to merge into a single extraction.",
-    )
-
-    max_knowledge_triples: int = Field(
-        default=100,
-        description="The maximum number of knowledge triples to extract from each chunk.",
-    )
-
-    generation_config: GenerationConfig = Field(
-        default_factory=GenerationConfig,
-        description="The generation configuration for the KG creation.",
-    )
-
-    def to_dict(self):
-        return self.model_dump()
-
-    def model_dump_json(self, **kwargs):
-        return super().model_dump_json(**kwargs)
-
-
-class KGEnrichmentSettings(BaseModel):
-
-    max_summary_input_length: int = Field(
-        default=65536,
-        description="The maximum input size that goes inside a .",
-    )
-
-    leiden_params: dict = Field(
-        default_factory=dict,
-        description="The parameters for the Leiden algorithm.",
-    )
-
-    generation_config: GenerationConfig = Field(
-        default_factory=GenerationConfig,
-        description="The generation configuration for the KG enrichment.",
-    )
-
-
-class KGCreationResponse(BaseModel):
-
-    message: str
-    task_id: UUID
-
-    def __str__(self) -> str:
-        return f"KGCreationResponse(message={self.message}, task_id={self.task_id})"
-
-    class Config:
-        json_schema_extra = {
-            "message": "Knowledge graph creation task queued successfully.",
-            "task_id": "c68dc72e-fc23-5452-8f49-d7bd46088a96",
-        }
-
-
-class KGEnrichmentResponse(BaseModel):
-
-    message: str
-    task_id: UUID
-
-    def __str__(self) -> str:
-        return f"KGEnrichmentResponse(message={self.message}, task_id={self.task_id})"
-
-    class Config:
-        json_schema_extra = {
-            "message": "Knowledge graph enrichment task queued successfully.",
-            "task_id": "c68dc72e-fc23-5452-8f49-d7bd46088a96",
-        }
-
-
-class UserResponse(BaseModel):
-    id: UUID
-    email: str
-    is_active: bool = True
-    is_superuser: bool = False
-    created_at: datetime = datetime.now()
-    updated_at: datetime = datetime.now()
-    is_verified: bool = False
-    collection_ids: list[UUID] = []
-
-    # Optional fields (to update or set at creation)
-    hashed_password: Optional[str] = None
-    verification_code_expiry: Optional[datetime] = None
-    name: Optional[str] = None
-    bio: Optional[str] = None
-    profile_picture: Optional[str] = None
-
-
-class VectorSearchResult(BaseModel):
-    """Result of a search operation."""
-
-    fragment_id: UUID
-    extraction_id: UUID
-    document_id: UUID
-    user_id: UUID
-    collection_ids: list[UUID]
-    score: float
-    text: str
-    metadata: dict[str, Any]
-
-    def __str__(self) -> str:
-        return f"VectorSearchResult(fragment_id={self.fragment_id}, extraction_id={self.extraction_id}, document_id={self.document_id}, score={self.score})"
-
-    def __repr__(self) -> str:
-        return self.__str__()
-
-    def dict(self) -> dict:
-        return {
-            "fragment_id": self.fragment_id,
-            "extraction_id": self.extraction_id,
-            "document_id": self.document_id,
-            "user_id": self.user_id,
-            "collection_ids": self.collection_ids,
-            "score": self.score,
-            "text": self.text,
-            "metadata": self.metadata,
-        }
-
-    class Config:
-        json_schema_extra = {
-            "fragment_id": "c68dc72e-fc23-5452-8f49-d7bd46088a96",
-            "extraction_id": "3f3d47f3-8baf-58eb-8bc2-0171fb1c6e09",
-            "document_id": "3e157b3a-8469-51db-90d9-52e7d896b49b",
-            "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-            "collection_ids": [],
-            "score": 0.23943702876567796,
-            "text": "Example text from the document",
-            "metadata": {
-                "title": "example_document.pdf",
-                "associated_query": "What is the capital of France?",
-            },
-        }
-
-
-class SearchResponse(BaseModel):
-    vector_search_results: list[VectorSearchResult] = Field(
-        ...,
-        description="List of vector search results",
-    )
-    kg_search_results: Optional[list[KGSearchResult]] = Field(
-        None,
-        description="Knowledge graph search results, if applicable",
-    )
-
-    class Config:
-        json_schema_extra = {
-            "example": {
-                "vector_search_results": [
-                    VectorSearchResult.Config.json_schema_extra,
-                ],
-                "kg_search_results": [
-                    KGSearchResult.Config.json_schema_extra,
-                ],
-            }
-        }
-
-
-class RAGResponse(BaseModel):
-    completion: Any = Field(
-        ...,
-        description="The generated completion from the RAG process",
-    )
-    search_results: SearchResponse = Field(
-        ...,
-        description="The search results used for the RAG process",
-    )
-
-    class Config:
-        json_schema_extra = {
-            "example": {
-                "completion": {
-                    "id": "chatcmpl-example123",
-                    "choices": [
-                        {
-                            "finish_reason": "stop",
-                            "index": 0,
-                            "logprobs": None,
-                            "message": {
-                                "content": "Paris is the capital of France.",
-                                "role": "assistant",
-                            },
-                        }
-                    ],
-                },
-                "search_results": {
-                    "vector_search_results": [
-                        {
-                            "fragment_id": "c68dc72e-fc23-5452-8f49-d7bd46088a96",
-                            "extraction_id": "3f3d47f3-8baf-58eb-8bc2-0171fb1c6e09",
-                            "document_id": "3e157b3a-8469-51db-90d9-52e7d896b49b",
-                            "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-                            "collection_ids": [],
-                            "score": 0.23943702876567796,
-                            "text": "Paris is the capital and most populous city of France.",
-                            "metadata": {
-                                "text": "Paris is the capital and most populous city of France.",
-                                "title": "france_info.pdf",
-                                "associated_query": "What is the capital of France?",
-                            },
-                        }
-                    ],
-                    "kg_search_results": None,
-                },
-            }
-        }
+# TODO - Remove this class
+class ChunkingConfig(R2RSerializable):
+    provider: str = "unstructured_local"  # or unstructured_api
+    combine_under_n_chars: Optional[int] = 128
+    max_characters: Optional[int] = 500
+    coordinates: bool = False
+    encoding: Optional[str] = "utf-8"
+    extract_image_block_types: Optional[list[str]] = None
+    gz_uncompressed_content_type: Optional[str] = None
+    hi_res_model_name: Optional[str] = None
+    include_orig_elements: Optional[bool] = True
+    include_page_breaks: bool = False
+    languages: Optional[list[str]] = None
+    multipage_sections: bool = True
diff --git a/py/sdk/restructure.py b/py/sdk/restructure.py
index b66606191..058c3c381 100644
--- a/py/sdk/restructure.py
+++ b/py/sdk/restructure.py
@@ -1,4 +1,5 @@
-from typing import Union
+import json
+from typing import Optional, Union
 
 from .models import (
     KGCreationResponse,
@@ -13,17 +14,18 @@ class RestructureMethods:
     @staticmethod
     async def create_graph(
         client,
-        document_ids: list[str] = None,
-        kg_creation_settings: Union[dict, KGCreationSettings] = None,
+        document_ids: Optional[list[str]] = None,
+        kg_creation_settings: Optional[Union[dict, KGCreationSettings]] = None,
     ) -> KGCreationResponse:
         """
         Create a graph from the given settings.
         """
 
         data = {
-            "document_ids": document_ids,
-            "kg_creation_settings": kg_creation_settings,
+            "document_ids": document_ids or [],
+            "kg_creation_settings": kg_creation_settings or {},
         }
+
         response = await client._make_request(
             "POST", "create_graph", json=data
         )
@@ -34,7 +36,9 @@ async def enrich_graph(
         client,
         skip_clustering: bool = False,
         force_enrichment: bool = False,
-        kg_enrichment_settings: Union[dict, KGEnrichmentSettings] = None,
+        kg_enrichment_settings: Optional[
+            Union[dict, KGEnrichmentSettings]
+        ] = None,
     ) -> KGEnrichmentResponse:
         """
         Perform graph enrichment over the entire graph.
@@ -50,7 +54,7 @@ async def enrich_graph(
         data = {
             "skip_clustering": skip_clustering,
             "force_enrichment": force_enrichment,
-            "kg_enrichment_settings": kg_enrichment_settings,
+            "kg_enrichment_settings": kg_enrichment_settings or {},
         }
         response = await client._make_request(
             "POST", "enrich_graph", json=data
diff --git a/py/sdk/retrieval.py b/py/sdk/retrieval.py
index 67ca4b6e3..137175d86 100644
--- a/py/sdk/retrieval.py
+++ b/py/sdk/retrieval.py
@@ -91,7 +91,7 @@ async def rag(
             "include_title_if_available": include_title_if_available,
         }
 
-        if rag_generation_config and rag_generation_config.get(
+        if rag_generation_config and rag_generation_config.get(  # type: ignore
             "stream", False
         ):
             return client._make_streaming_request("POST", "rag", json=data)
@@ -135,13 +135,13 @@ async def agent(
         if kg_search_settings and not isinstance(kg_search_settings, dict):
             kg_search_settings = kg_search_settings.model_dump()
 
-        messages = [
+        cast_messages: list[Message] = [
             Message(**msg) if isinstance(msg, dict) else msg
             for msg in messages
         ]
 
         data = {
-            "messages": [msg.model_dump() for msg in messages],
+            "messages": [msg.model_dump() for msg in cast_messages],
             "rag_generation_config": rag_generation_config,
             "vector_search_settings": vector_search_settings,
             "kg_search_settings": kg_search_settings,
@@ -149,7 +149,7 @@ async def agent(
             "include_title_if_available": include_title_if_available,
         }
 
-        if rag_generation_config and rag_generation_config.get(
+        if rag_generation_config and rag_generation_config.get(  # type: ignore
             "stream", False
         ):
             return client._make_streaming_request("POST", "agent", json=data)
diff --git a/py/sdk/server.py b/py/sdk/server.py
index d703ae6d4..0554ae6cd 100644
--- a/py/sdk/server.py
+++ b/py/sdk/server.py
@@ -19,8 +19,8 @@ async def server_stats(client) -> dict:
     @staticmethod
     async def logs(
         client,
-        offset: int = None,
-        limit: int = None,
+        offset: Optional[int] = None,
+        limit: Optional[int] = None,
         run_type_filter: Optional[str] = None,
     ) -> dict:
         """
diff --git a/py/core/base/api/models/auth/__init__.py b/py/shared/__init__.py
similarity index 100%
rename from py/core/base/api/models/auth/__init__.py
rename to py/shared/__init__.py
diff --git a/py/shared/abstractions/__init__.py b/py/shared/abstractions/__init__.py
new file mode 100644
index 000000000..b9cb2683e
--- /dev/null
+++ b/py/shared/abstractions/__init__.py
@@ -0,0 +1,114 @@
+from .base import AsyncSyncMeta, R2RSerializable, syncable
+from .completion import CompletionRecord, MessageType
+from .document import (
+    DataType,
+    Document,
+    DocumentExtraction,
+    DocumentFragment,
+    DocumentInfo,
+    DocumentType,
+    IngestionStatus,
+    RestructureStatus,
+)
+from .embedding import EmbeddingPurpose, default_embedding_prefixes
+from .exception import R2RDocumentProcessingError, R2RException
+from .graph import (
+    Community,
+    CommunityReport,
+    Entity,
+    EntityType,
+    KGExtraction,
+    RelationshipType,
+    Triple,
+)
+from .llm import (
+    GenerationConfig,
+    LLMChatCompletion,
+    LLMChatCompletionChunk,
+    Message,
+    RAGCompletion,
+)
+from .prompt import Prompt
+from .restructure import KGCreationSettings, KGEnrichmentSettings
+from .search import (
+    AggregateSearchResult,
+    HybridSearchSettings,
+    KGCommunityResult,
+    KGEntityResult,
+    KGGlobalResult,
+    KGRelationshipResult,
+    KGSearchMethod,
+    KGSearchResult,
+    KGSearchResultType,
+    KGSearchSettings,
+    VectorSearchResult,
+    VectorSearchSettings,
+)
+from .user import Token, TokenData, UserStats
+from .vector import StorageResult, Vector, VectorEntry, VectorType
+
+__all__ = [
+    # Base abstractions
+    "R2RSerializable",
+    "AsyncSyncMeta",
+    "syncable",
+    # Completion abstractions
+    "CompletionRecord",
+    "MessageType",
+    # Document abstractions
+    "DataType",
+    "Document",
+    "DocumentExtraction",
+    "DocumentFragment",
+    "DocumentInfo",
+    "IngestionStatus",
+    "RestructureStatus",
+    "DocumentType",
+    # Embedding abstractions
+    "EmbeddingPurpose",
+    "default_embedding_prefixes",
+    # Exception abstractions
+    "R2RDocumentProcessingError",
+    "R2RException",
+    # Graph abstractions
+    "Entity",
+    "EntityType",
+    "RelationshipType",
+    "Community",
+    "CommunityReport",
+    "KGExtraction",
+    "Triple",
+    # LLM abstractions
+    "GenerationConfig",
+    "LLMChatCompletion",
+    "LLMChatCompletionChunk",
+    "Message",
+    "RAGCompletion",
+    # Prompt abstractions
+    "Prompt",
+    # Search abstractions
+    "AggregateSearchResult",
+    "KGSearchResult",
+    "KGSearchMethod",
+    "KGSearchResultType",
+    "KGEntityResult",
+    "KGRelationshipResult",
+    "KGCommunityResult",
+    "KGGlobalResult",
+    "KGSearchSettings",
+    "VectorSearchResult",
+    "VectorSearchSettings",
+    "HybridSearchSettings",
+    # Restructure abstractions
+    "KGCreationSettings",
+    "KGEnrichmentSettings",
+    # User abstractions
+    "Token",
+    "TokenData",
+    "UserStats",
+    # Vector abstractions
+    "Vector",
+    "VectorEntry",
+    "VectorType",
+    "StorageResult",
+]
diff --git a/py/core/base/abstractions/base.py b/py/shared/abstractions/base.py
similarity index 100%
rename from py/core/base/abstractions/base.py
rename to py/shared/abstractions/base.py
diff --git a/py/core/base/abstractions/completion.py b/py/shared/abstractions/completion.py
similarity index 91%
rename from py/core/base/abstractions/completion.py
rename to py/shared/abstractions/completion.py
index 9c22d5508..3222fd1f8 100644
--- a/py/core/base/abstractions/completion.py
+++ b/py/shared/abstractions/completion.py
@@ -10,20 +10,10 @@
 
 from pydantic import BaseModel
 
+from .llm import MessageType
 from .search import AggregateSearchResult
 
 
-class MessageType(Enum):
-    SYSTEM = "system"
-    USER = "user"
-    ASSISTANT = "assistant"
-    FUNCTION = "function"
-    TOOL = "tool"
-
-    def __str__(self):
-        return self.value
-
-
 class CompletionRecord(BaseModel):
     message_id: UUID
     message_type: MessageType
diff --git a/py/core/base/abstractions/document.py b/py/shared/abstractions/document.py
similarity index 95%
rename from py/core/base/abstractions/document.py
rename to py/shared/abstractions/document.py
index 836e8df07..d7e0cd68f 100644
--- a/py/core/base/abstractions/document.py
+++ b/py/shared/abstractions/document.py
@@ -7,7 +7,7 @@
 from typing import Optional, Union
 from uuid import UUID, uuid4
 
-from pydantic import Field, validator
+from pydantic import Field
 
 from .base import R2RSerializable
 
@@ -100,6 +100,7 @@ class Document(R2RSerializable):
 
     class Config:
         arbitrary_types_allowed = True
+        ignore_extra = False
         json_encoders = {
             UUID: str,
         }
@@ -161,8 +162,8 @@ def convert_to_db_entry(self):
             "title": self.title or "N/A",
             "version": self.version,
             "size_in_bytes": self.size_in_bytes,
-            "ingestion_status": self.ingestion_status,
-            "restructuring_status": self.restructuring_status,
+            "ingestion_status": self.ingestion_status.value,
+            "restructuring_status": self.restructuring_status.value,
             "created_at": self.created_at or now,
             "updated_at": self.updated_at or now,
             "ingestion_attempt_number": self.ingestion_attempt_number or 0,
diff --git a/py/core/base/abstractions/embedding.py b/py/shared/abstractions/embedding.py
similarity index 100%
rename from py/core/base/abstractions/embedding.py
rename to py/shared/abstractions/embedding.py
diff --git a/py/core/base/abstractions/exception.py b/py/shared/abstractions/exception.py
similarity index 100%
rename from py/core/base/abstractions/exception.py
rename to py/shared/abstractions/exception.py
diff --git a/py/core/base/abstractions/graph.py b/py/shared/abstractions/graph.py
similarity index 98%
rename from py/core/base/abstractions/graph.py
rename to py/shared/abstractions/graph.py
index ab612dc9f..dbf795e27 100644
--- a/py/core/base/abstractions/graph.py
+++ b/py/shared/abstractions/graph.py
@@ -46,6 +46,7 @@ class RelationshipType(R2RSerializable):
 class Entity(R2RSerializable):
     """An entity extracted from a document."""
 
+    id: Optional[int] = None  # given by neo4j
     category: str
     name: str
     description: Optional[str] = None
@@ -78,6 +79,8 @@ def __init__(self, **kwargs):
 class Triple(BaseModel):
     """A relationship between two entities. This is a generic relationship, and can be used to represent any type of relationship between any two entities."""
 
+    id: Optional[int] = None  # given by neo4j
+
     subject: str | None = None
     """The source entity name."""
 
@@ -102,7 +105,7 @@ class Triple(BaseModel):
     document_ids: list[str] = []
     """List of document IDs in which the relationship appears (optional)."""
 
-    attributes: dict[str, Any] | str = None
+    attributes: dict[str, Any] | str = {}
     """Additional attributes associated with the relationship (optional). To be included in the search prompt"""
 
     def __init__(self, **kwargs):
diff --git a/py/core/base/abstractions/llm.py b/py/shared/abstractions/llm.py
similarity index 98%
rename from py/core/base/abstractions/llm.py
rename to py/shared/abstractions/llm.py
index ee6b4932b..05d39ad03 100644
--- a/py/core/base/abstractions/llm.py
+++ b/py/shared/abstractions/llm.py
@@ -7,7 +7,7 @@
 from openai.types.chat import ChatCompletion, ChatCompletionChunk
 from pydantic import BaseModel, Field
 
-from core.base.abstractions.base import R2RSerializable
+from .base import R2RSerializable
 
 if TYPE_CHECKING:
     from .search import AggregateSearchResult
diff --git a/py/core/base/abstractions/prompt.py b/py/shared/abstractions/prompt.py
similarity index 89%
rename from py/core/base/abstractions/prompt.py
rename to py/shared/abstractions/prompt.py
index 7d9d723b7..d24fe00e8 100644
--- a/py/core/base/abstractions/prompt.py
+++ b/py/shared/abstractions/prompt.py
@@ -1,11 +1,14 @@
 """Abstraction for a prompt that can be formatted with inputs."""
 
+import logging
 from datetime import datetime
 from typing import Any
 from uuid import UUID, uuid4
 
 from pydantic import BaseModel, Field
 
+logger = logging.getLogger(__name__)
+
 
 class Prompt(BaseModel):
     """A prompt that can be formatted with inputs."""
@@ -19,7 +22,8 @@ class Prompt(BaseModel):
 
     def format_prompt(self, inputs: dict[str, Any]) -> str:
         self._validate_inputs(inputs)
-        return self.template.format(**inputs)
+        formatted_prompt = self.template.format(**inputs)
+        return formatted_prompt
 
     def _validate_inputs(self, inputs: dict[str, Any]) -> None:
         for var, expected_type_name in self.input_types.items():
diff --git a/py/core/base/abstractions/restructure.py b/py/shared/abstractions/restructure.py
similarity index 82%
rename from py/core/base/abstractions/restructure.py
rename to py/shared/abstractions/restructure.py
index c4f9d4dcf..5d420b965 100644
--- a/py/core/base/abstractions/restructure.py
+++ b/py/shared/abstractions/restructure.py
@@ -1,5 +1,3 @@
-from uuid import UUID
-
 from pydantic import Field
 
 from .base import R2RSerializable
@@ -9,6 +7,11 @@
 class KGCreationSettings(R2RSerializable):
     """Settings for knowledge graph creation."""
 
+    kg_extraction_prompt: str = Field(
+        default="graphrag_triplet_extraction_zero_shot",
+        description="The prompt to use for knowledge graph extraction.",
+    )
+
     entity_types: list[str] = Field(
         default=[],
         description="The types of entities to extract.",
@@ -38,6 +41,11 @@ class KGCreationSettings(R2RSerializable):
 class KGEnrichmentSettings(R2RSerializable):
     """Settings for knowledge graph enrichment."""
 
+    community_reports_prompt: str = Field(
+        default="graphrag_community_reports_prompt",
+        description="The prompt to use for knowledge graph enrichment.",
+    )
+
     max_description_input_length: int = Field(
         default=65536,
         description="The maximum length of the description for a node in the graph.",
diff --git a/py/core/base/abstractions/search.py b/py/shared/abstractions/search.py
similarity index 83%
rename from py/core/base/abstractions/search.py
rename to py/shared/abstractions/search.py
index 5649e8a15..8199d8394 100644
--- a/py/core/base/abstractions/search.py
+++ b/py/shared/abstractions/search.py
@@ -4,12 +4,13 @@
 from typing import Any, Optional, Union
 from uuid import UUID
 
-from pydantic import BaseModel, Field
+from pydantic import Field
 
+from .base import R2RSerializable
 from .llm import GenerationConfig
 
 
-class VectorSearchResult(BaseModel):
+class VectorSearchResult(R2RSerializable):
     """Result of a search operation."""
 
     fragment_id: UUID
@@ -27,7 +28,7 @@ def __str__(self) -> str:
     def __repr__(self) -> str:
         return self.__str__()
 
-    def dict(self) -> dict:
+    def as_dict(self) -> dict:
         return {
             "fragment_id": self.fragment_id,
             "extraction_id": self.extraction_id,
@@ -66,7 +67,7 @@ class KGSearchMethod(str, Enum):
     GLOBAL = "global"
 
 
-class KGEntityResult(BaseModel):
+class KGEntityResult(R2RSerializable):
     name: str
     description: str
     metadata: Optional[dict[str, Any]] = None
@@ -79,7 +80,7 @@ class Config:
         }
 
 
-class KGRelationshipResult(BaseModel):
+class KGRelationshipResult(R2RSerializable):
     name: str
     description: str
     metadata: Optional[dict[str, Any]] = None
@@ -92,7 +93,7 @@ class Config:
         }
 
 
-class KGCommunityResult(BaseModel):
+class KGCommunityResult(R2RSerializable):
     name: str
     description: str
     metadata: Optional[dict[str, Any]] = None
@@ -105,7 +106,7 @@ class Config:
         }
 
 
-class KGGlobalResult(BaseModel):
+class KGGlobalResult(R2RSerializable):
     name: str
     description: str
     metadata: Optional[dict[str, Any]] = None
@@ -118,7 +119,7 @@ class Config:
         }
 
 
-class KGSearchResult(BaseModel):
+class KGSearchResult(R2RSerializable):
     method: KGSearchMethod
     content: Union[
         KGEntityResult, KGRelationshipResult, KGCommunityResult, KGGlobalResult
@@ -126,7 +127,7 @@ class KGSearchResult(BaseModel):
     result_type: Optional[KGSearchResultType] = None
     fragment_ids: Optional[list[UUID]] = None
     document_ids: Optional[list[UUID]] = None
-    metadata: Optional[dict[str, Any]] = None
+    metadata: dict[str, Any] = {}
 
     class Config:
         json_schema_extra = {
@@ -139,7 +140,7 @@ class Config:
         }
 
 
-class AggregateSearchResult(BaseModel):
+class AggregateSearchResult(R2RSerializable):
     """Result of an aggregate search operation."""
 
     vector_search_results: Optional[list[VectorSearchResult]]
@@ -151,10 +152,10 @@ def __str__(self) -> str:
     def __repr__(self) -> str:
         return f"AggregateSearchResult(vector_search_results={self.vector_search_results}, kg_search_results={self.kg_search_results})"
 
-    def dict(self) -> dict:
+    def as_dict(self) -> dict:
         return {
             "vector_search_results": (
-                [result.dict() for result in self.vector_search_results]
+                [result.as_dict() for result in self.vector_search_results]
                 if self.vector_search_results
                 else []
             ),
@@ -178,7 +179,7 @@ class IndexMeasure(str, Enum):
     max_inner_product = "max_inner_product"
 
 
-class HybridSearchSettings(BaseModel):
+class HybridSearchSettings(R2RSerializable):
     full_text_weight: float = Field(
         default=1.0, description="Weight to apply to full text search"
     )
@@ -194,7 +195,7 @@ class HybridSearchSettings(BaseModel):
     )
 
 
-class VectorSearchSettings(BaseModel):
+class VectorSearchSettings(R2RSerializable):
     use_vector_search: bool = Field(
         default=True, description="Whether to use vector search"
     )
@@ -212,6 +213,11 @@ class VectorSearchSettings(BaseModel):
         ge=1,
         le=1_000,
     )
+    offset: int = Field(
+        default=0,
+        ge=0,
+        description="Offset to paginate search results",
+    )
     selected_collection_ids: list[UUID] = Field(
         default_factory=list,
         description="Collection IDs to search for",
@@ -240,7 +246,7 @@ class VectorSearchSettings(BaseModel):
         default=HybridSearchSettings(),
         description="Settings for hybrid search",
     )
-    search_strategy: Optional[str] = Field(
+    search_strategy: str = Field(
         default="vanilla",
         description="Search strategy to use (e.g., 'default', 'query_fusion', 'hyde')",
     )
@@ -251,7 +257,8 @@ class Config:
             "use_vector_search": True,
             "use_hybrid_search": True,
             "filters": {"category": "technology"},
-            "search_limit": 20,
+            "limit": 20,
+            "offset": 0,
             "selected_collection_ids": [
                 "2acb499e-8428-543b-bd85-0d9098718220",
                 "3e157b3a-8469-51db-90d9-52e7d896b49b",
@@ -276,12 +283,30 @@ def model_dump(self, *args, **kwargs):
         return dump
 
 
-class KGSearchSettings(BaseModel):
-    use_kg_search: bool = False
-    kg_search_type: str = "global"  # 'global' or 'local'
-    kg_search_level: Optional[str] = None
-    kg_search_generation_config: Optional[GenerationConfig] = Field(
-        default_factory=GenerationConfig
+class KGSearchSettings(R2RSerializable):
+
+    graphrag_map_system_prompt: str = Field(
+        default="graphrag_map_system_prompt",
+        description="The system prompt for the graphrag map prompt.",
+    )
+
+    graphrag_reduce_system_prompt: str = Field(
+        default="graphrag_reduce_system_prompt",
+        description="The system prompt for the graphrag reduce prompt.",
+    )
+
+    use_kg_search: bool = Field(
+        default=False, description="Whether to use KG search"
+    )
+    kg_search_type: str = Field(
+        default="local", description="KG search type"
+    )  # 'global' or 'local'
+    kg_search_level: Optional[str] = Field(
+        default=None, description="KG search level"
+    )
+    generation_config: GenerationConfig = Field(
+        default_factory=GenerationConfig,
+        description="Configuration for text generation during graph search.",
     )
     # TODO: add these back in
     # entity_types: list = []
@@ -300,7 +325,7 @@ class Config:
             "use_kg_search": True,
             "kg_search_type": "global",
             "kg_search_level": "0",
-            "kg_search_generation_config": GenerationConfig.Config.json_schema_extra,
+            "generation_config": GenerationConfig.Config.json_schema_extra,
             "max_community_description_length": 65536,
             "max_llm_queries_for_global_search": 250,
             "local_search_limits": {
diff --git a/py/core/base/abstractions/user.py b/py/shared/abstractions/user.py
similarity index 100%
rename from py/core/base/abstractions/user.py
rename to py/shared/abstractions/user.py
diff --git a/py/core/base/abstractions/vector.py b/py/shared/abstractions/vector.py
similarity index 98%
rename from py/core/base/abstractions/vector.py
rename to py/shared/abstractions/vector.py
index d2c9fca06..adb61361a 100644
--- a/py/core/base/abstractions/vector.py
+++ b/py/shared/abstractions/vector.py
@@ -71,7 +71,7 @@ class StorageResult(R2RSerializable):
     """A result of a storage operation."""
 
     success: bool
-    document_id: UUID = None
+    document_id: UUID
     num_chunks: int = 0
     error_message: Optional[str] = None
 
diff --git a/py/shared/api/models/__init__.py b/py/shared/api/models/__init__.py
new file mode 100644
index 000000000..777ad2ee5
--- /dev/null
+++ b/py/shared/api/models/__init__.py
@@ -0,0 +1,117 @@
+from shared.api.models.auth.responses import (
+    GenericMessageResponse,
+    TokenResponse,
+    UserResponse,
+    WrappedGenericMessageResponse,
+    WrappedTokenResponse,
+    WrappedUserResponse,
+)
+from shared.api.models.ingestion.responses import (
+    IngestionResponse,
+    WrappedIngestionResponse,
+    WrappedUpdateResponse,
+)
+from shared.api.models.management.responses import (
+    AnalyticsResponse,
+    AppSettingsResponse,
+    CollectionOverviewResponse,
+    CollectionResponse,
+    DocumentChunkResponse,
+    DocumentOverviewResponse,
+    KnowledgeGraphResponse,
+    LogResponse,
+    PromptResponse,
+    ScoreCompletionResponse,
+    ServerStats,
+    UserOverviewResponse,
+    WrappedAddUserResponse,
+    WrappedAnalyticsResponse,
+    WrappedAppSettingsResponse,
+    WrappedCollectionListResponse,
+    WrappedCollectionOverviewResponse,
+    WrappedCollectionResponse,
+    WrappedDocumentChunkResponse,
+    WrappedDocumentOverviewResponse,
+    WrappedGetPromptsResponse,
+    WrappedKnowledgeGraphResponse,
+    WrappedLogResponse,
+    WrappedPromptMessageResponse,
+    WrappedScoreCompletionResponse,
+    WrappedServerStatsResponse,
+    WrappedUserCollectionResponse,
+    WrappedUserOverviewResponse,
+    WrappedUsersInCollectionResponse,
+)
+from shared.api.models.restructure.responses import (
+    KGCreationResponse,
+    KGEnrichmentResponse,
+    WrappedKGCreationResponse,
+    WrappedKGEnrichmentResponse,
+)
+from shared.api.models.retrieval.responses import (
+    RAGAgentResponse,
+    RAGResponse,
+    SearchResponse,
+    WrappedRAGAgentResponse,
+    WrappedRAGResponse,
+    WrappedSearchResponse,
+)
+
+__all__ = [
+    # Auth Responses
+    "GenericMessageResponse",
+    "TokenResponse",
+    "UserResponse",
+    "WrappedTokenResponse",
+    "WrappedUserResponse",
+    "WrappedGenericMessageResponse",
+    # Ingestion Responses
+    "IngestionResponse",
+    "WrappedIngestionResponse",
+    "WrappedUpdateResponse",
+    # Restructure Responses
+    "KGCreationResponse",
+    "WrappedKGCreationResponse",
+    "KGEnrichmentResponse",
+    "WrappedKGEnrichmentResponse",
+    # Management Responses
+    "PromptResponse",
+    "ServerStats",
+    "LogResponse",
+    "AnalyticsResponse",
+    "AppSettingsResponse",
+    "ScoreCompletionResponse",
+    "UserOverviewResponse",
+    "DocumentOverviewResponse",
+    "DocumentChunkResponse",
+    "KnowledgeGraphResponse",
+    "CollectionResponse",
+    "CollectionOverviewResponse",
+    "WrappedPromptMessageResponse",
+    "WrappedServerStatsResponse",
+    "WrappedLogResponse",
+    "WrappedAnalyticsResponse",
+    "WrappedAppSettingsResponse",
+    "WrappedScoreCompletionResponse",
+    "WrappedUserOverviewResponse",
+    "WrappedDocumentChunkResponse",
+    "WrappedDocumentOverviewResponse",
+    "WrappedDocumentChunkResponse",
+    "WrappedKnowledgeGraphResponse",
+    "WrappedCollectionResponse",
+    "WrappedDocumentChunkResponse",
+    "WrappedCollectionListResponse",
+    "WrappedAddUserResponse",
+    "WrappedUsersInCollectionResponse",
+    "WrappedGetPromptsResponse",
+    "WrappedUserCollectionResponse",
+    "WrappedDocumentChunkResponse",
+    "WrappedCollectionOverviewResponse",
+    # Retrieval Responses
+    "SearchResponse",
+    "RAGResponse",
+    "RAGAgentResponse",
+    "WrappedSearchResponse",
+    "WrappedRAGResponse",
+    "WrappedRAGAgentResponse",
+]
diff --git a/py/core/base/api/models/ingestion/__init__.py b/py/shared/api/models/auth/__init__.py
similarity index 100%
rename from py/core/base/api/models/ingestion/__init__.py
rename to py/shared/api/models/auth/__init__.py
diff --git a/py/core/base/api/models/auth/responses.py b/py/shared/api/models/auth/responses.py
similarity index 87%
rename from py/core/base/api/models/auth/responses.py
rename to py/shared/api/models/auth/responses.py
index 6601fa088..9e868272d 100644
--- a/py/core/base/api/models/auth/responses.py
+++ b/py/shared/api/models/auth/responses.py
@@ -4,9 +4,8 @@
 
 from pydantic import BaseModel
 
-from core.base.abstractions import Token
-from core.base.abstractions.base import R2RSerializable
-from core.base.api.models.base import ResultsWrapper
+from shared.abstractions import R2RSerializable, Token
+from shared.api.models.base import ResultsWrapper
 
 
 class TokenResponse(BaseModel):
diff --git a/py/core/base/api/models/base.py b/py/shared/api/models/base.py
similarity index 61%
rename from py/core/base/api/models/base.py
rename to py/shared/api/models/base.py
index 5c5af2d63..092728bc3 100644
--- a/py/core/base/api/models/base.py
+++ b/py/shared/api/models/base.py
@@ -7,3 +7,8 @@
 
 class ResultsWrapper(BaseModel, Generic[T]):
     results: T
+
+
+class PaginatedResultsWrapper(BaseModel, Generic[T]):
+    results: T
+    total_entries: int
diff --git a/py/core/base/api/models/management/__init__.py b/py/shared/api/models/ingestion/__init__.py
similarity index 100%
rename from py/core/base/api/models/management/__init__.py
rename to py/shared/api/models/ingestion/__init__.py
diff --git a/py/core/base/api/models/ingestion/responses.py b/py/shared/api/models/ingestion/responses.py
similarity index 94%
rename from py/core/base/api/models/ingestion/responses.py
rename to py/shared/api/models/ingestion/responses.py
index 4612156b3..7771d3c4c 100644
--- a/py/core/base/api/models/ingestion/responses.py
+++ b/py/shared/api/models/ingestion/responses.py
@@ -1,9 +1,9 @@
-from typing import Any, TypeVar
+from typing import TypeVar
 from uuid import UUID
 
 from pydantic import BaseModel, Field
 
-from core.base.api.models.base import ResultsWrapper
+from shared.api.models.base import ResultsWrapper
 
 T = TypeVar("T")
 
diff --git a/py/core/base/api/models/restructure/__init__.py b/py/shared/api/models/management/__init__.py
similarity index 100%
rename from py/core/base/api/models/restructure/__init__.py
rename to py/shared/api/models/management/__init__.py
diff --git a/py/core/base/api/models/management/responses.py b/py/shared/api/models/management/responses.py
similarity index 57%
rename from py/core/base/api/models/management/responses.py
rename to py/shared/api/models/management/responses.py
index d542d7989..303e4dcad 100644
--- a/py/core/base/api/models/management/responses.py
+++ b/py/shared/api/models/management/responses.py
@@ -1,10 +1,10 @@
 from datetime import datetime
-from typing import Any, Dict, List, Optional
+from typing import Any, Optional
 from uuid import UUID
 
 from pydantic import BaseModel
 
-from core.base.api.models.base import ResultsWrapper
+from shared.api.models.base import PaginatedResultsWrapper, ResultsWrapper
 
 
 class UpdatePromptResponse(BaseModel):
@@ -16,11 +16,11 @@ class PromptResponse(BaseModel):
     template: str
     created_at: datetime
     updated_at: datetime
-    input_types: Dict[str, str]
+    input_types: dict[str, str]
 
 
 class AllPromptsResponse(BaseModel):
-    prompts: Dict[str, PromptResponse]
+    prompts: dict[str, PromptResponse]
 
 
 class LogEntry(BaseModel):
@@ -32,7 +32,7 @@ class LogEntry(BaseModel):
 class LogResponse(BaseModel):
     run_id: UUID
     run_type: str
-    entries: List[LogEntry]
+    entries: list[LogEntry]
     timestamp: Optional[datetime]
     user_id: Optional[UUID]
 
@@ -46,12 +46,12 @@ class ServerStats(BaseModel):
 
 class AnalyticsResponse(BaseModel):
     analytics_data: Optional[dict] = None
-    filtered_logs: Dict[str, Any]
+    filtered_logs: dict[str, Any]
 
 
 class AppSettingsResponse(BaseModel):
-    config: Dict[str, Any]
-    prompts: Dict[str, Any]
+    config: dict[str, Any]
+    prompts: dict[str, Any]
 
 
 class ScoreCompletionResponse(BaseModel):
@@ -62,7 +62,25 @@ class UserOverviewResponse(BaseModel):
     user_id: UUID
     num_files: int
     total_size_in_bytes: int
-    document_ids: List[UUID]
+    document_ids: list[UUID]
+
+
+class UserResponse(BaseModel):
+    id: UUID
+    email: str
+    is_active: bool = True
+    is_superuser: bool = False
+    created_at: datetime = datetime.now()
+    updated_at: datetime = datetime.now()
+    is_verified: bool = False
+    collection_ids: list[UUID] = []
+
+    # Optional fields (to update or set at creation)
+    hashed_password: Optional[str] = None
+    verification_code_expiry: Optional[datetime] = None
+    name: Optional[str] = None
+    bio: Optional[str] = None
+    profile_picture: Optional[str] = None
 
 
 class DocumentOverviewResponse(BaseModel):
@@ -76,7 +94,7 @@ class DocumentOverviewResponse(BaseModel):
     restructuring_status: str
     version: str
     collection_ids: list[UUID]
-    metadata: Dict[str, Any]
+    metadata: dict[str, Any]
 
 
 class DocumentChunkResponse(BaseModel):
@@ -86,13 +104,13 @@ class DocumentChunkResponse(BaseModel):
     user_id: UUID
     collection_ids: list[UUID]
     text: str
-    metadata: Dict[str, Any]
+    metadata: dict[str, Any]
 
 
 KnowledgeGraphResponse = str
 
 
-class GroupResponse(BaseModel):
+class CollectionResponse(BaseModel):
     collection_id: UUID
     name: str
     description: Optional[str]
@@ -100,7 +118,7 @@ class GroupResponse(BaseModel):
     updated_at: datetime
 
 
-class GroupOverviewResponse(BaseModel):
+class CollectionOverviewResponse(BaseModel):
     collection_id: UUID
     name: str
     description: Optional[str]
@@ -118,17 +136,27 @@ class AddUserResponse(BaseModel):
 WrappedPromptMessageResponse = ResultsWrapper[UpdatePromptResponse]
 WrappedGetPromptsResponse = ResultsWrapper[AllPromptsResponse]
 WrappedServerStatsResponse = ResultsWrapper[ServerStats]
-WrappedLogResponse = ResultsWrapper[List[LogResponse]]
+WrappedLogResponse = ResultsWrapper[list[LogResponse]]
 WrappedAnalyticsResponse = ResultsWrapper[AnalyticsResponse]
 WrappedAppSettingsResponse = ResultsWrapper[AppSettingsResponse]
 WrappedScoreCompletionResponse = ResultsWrapper[ScoreCompletionResponse]
-WrappedUserOverviewResponse = ResultsWrapper[List[UserOverviewResponse]]
-WrappedDocumentOverviewResponse = ResultsWrapper[
-    List[DocumentOverviewResponse]
+WrappedUserOverviewResponse = PaginatedResultsWrapper[
+    list[UserOverviewResponse]
+]
+WrappedDocumentOverviewResponse = PaginatedResultsWrapper[
+    list[DocumentOverviewResponse]
 ]
-WrappedDocumentChunkResponse = ResultsWrapper[List[DocumentChunkResponse]]
 WrappedKnowledgeGraphResponse = ResultsWrapper[KnowledgeGraphResponse]
-WrappedCollectionResponse = ResultsWrapper[GroupResponse]
-WrappedCollectionListResponse = ResultsWrapper[List[GroupResponse]]
-WrappedCollectionOverviewResponse = ResultsWrapper[List[GroupOverviewResponse]]
+WrappedCollectionResponse = ResultsWrapper[CollectionResponse]
+WrappedCollectionListResponse = ResultsWrapper[list[CollectionResponse]]
+WrappedCollectionOverviewResponse = ResultsWrapper[
+    list[CollectionOverviewResponse]
+]
 WrappedAddUserResponse = ResultsWrapper[AddUserResponse]
+WrappedUsersInCollectionResponse = PaginatedResultsWrapper[list[UserResponse]]
+WrappedUserCollectionResponse = PaginatedResultsWrapper[
+    list[CollectionOverviewResponse]
+]
+WrappedDocumentChunkResponse = PaginatedResultsWrapper[
+    list[DocumentChunkResponse]
+]
diff --git a/py/core/base/api/models/retrieval/__init__.py b/py/shared/api/models/restructure/__init__.py
similarity index 100%
rename from py/core/base/api/models/retrieval/__init__.py
rename to py/shared/api/models/restructure/__init__.py
diff --git a/py/core/base/api/models/restructure/responses.py b/py/shared/api/models/restructure/responses.py
similarity index 93%
rename from py/core/base/api/models/restructure/responses.py
rename to py/shared/api/models/restructure/responses.py
index 9dc3bf931..0150f4773 100644
--- a/py/core/base/api/models/restructure/responses.py
+++ b/py/shared/api/models/restructure/responses.py
@@ -1,9 +1,8 @@
-from typing import Any, Dict
 from uuid import UUID
 
 from pydantic import BaseModel, Field
 
-from core.base.api.models.base import ResultsWrapper
+from shared.api.models.base import ResultsWrapper
 
 
 class KGCreationResponse(BaseModel):
diff --git a/py/tests/__init__.py b/py/shared/api/models/retrieval/__init__.py
similarity index 100%
rename from py/tests/__init__.py
rename to py/shared/api/models/retrieval/__init__.py
diff --git a/py/core/base/api/models/retrieval/responses.py b/py/shared/api/models/retrieval/responses.py
similarity index 98%
rename from py/core/base/api/models/retrieval/responses.py
rename to py/shared/api/models/retrieval/responses.py
index dbdeb1b62..9030ad3fd 100644
--- a/py/core/base/api/models/retrieval/responses.py
+++ b/py/shared/api/models/retrieval/responses.py
@@ -2,8 +2,8 @@
 
 from pydantic import BaseModel, Field
 
-from core.base.abstractions import KGSearchResult, Message, VectorSearchResult
-from core.base.api.models.base import ResultsWrapper
+from shared.abstractions import KGSearchResult, Message, VectorSearchResult
+from shared.api.models.base import ResultsWrapper
 
 
 class SearchResponse(BaseModel):
diff --git a/py/shared/utils/__init__.py b/py/shared/utils/__init__.py
new file mode 100644
index 000000000..bae809ee0
--- /dev/null
+++ b/py/shared/utils/__init__.py
@@ -0,0 +1,31 @@
+from .base_utils import (
+    decrement_version,
+    format_entity_types,
+    format_relations,
+    format_search_results_for_llm,
+    format_search_results_for_stream,
+    generate_id_from_label,
+    generate_run_id,
+    generate_user_document_id,
+    increment_version,
+    run_pipeline,
+    to_async_generator,
+)
+from .splitter.text import RecursiveCharacterTextSplitter, TextSplitter
+
+__all__ = [
+    "format_entity_types",
+    "format_relations",
+    "generate_id_from_label",
+    "format_search_results_for_stream",
+    "format_search_results_for_llm",
+    "generate_run_id",
+    "generate_user_document_id",
+    "increment_version",
+    "decrement_version",
+    "run_pipeline",
+    "to_async_generator",
+    # Text splitter
+    "RecursiveCharacterTextSplitter",
+    "TextSplitter",
+]
diff --git a/py/core/base/utils/base_utils.py b/py/shared/utils/base_utils.py
similarity index 81%
rename from py/core/base/utils/base_utils.py
rename to py/shared/utils/base_utils.py
index 54631c3ec..46412d9be 100644
--- a/py/core/base/utils/base_utils.py
+++ b/py/shared/utils/base_utils.py
@@ -1,15 +1,15 @@
 import asyncio
 import json
-from typing import TYPE_CHECKING, Any, AsyncGenerator, Generator, Iterable
+import logging
+from typing import TYPE_CHECKING, Any, AsyncGenerator, Iterable
 from uuid import NAMESPACE_DNS, UUID, uuid4, uuid5
 
 from ..abstractions.graph import EntityType, RelationshipType
 from ..abstractions.search import AggregateSearchResult
 
-import logging
-
 logger = logging.getLogger(__name__)
 
+
 def format_search_results_for_llm(
     results: AggregateSearchResult,
 ) -> str:
@@ -18,16 +18,20 @@ def format_search_results_for_llm(
         formatted_results += "Vector Search Results:\n"
         for i, result in enumerate(results.vector_search_results):
             text = result.text
-            formatted_results += f"{i+1}. {text}\n"
+            formatted_results += f"Source [{i+1}]:\n{text}\n"
 
     if results.kg_search_results:
-        for result in results.kg_search_results:
-            if result.method == "local":
-                formatted_results += "KG Local Search Results:\n"
-                formatted_results += str(result.content)
-            elif result.method == "global":
-                formatted_results += "KG Global Search Results:\n"
-                formatted_results += str(result.content)
+        formatted_results += "KG Local Results:\n"
+        for j, kg_result in enumerate(results.kg_search_results):
+            formatted_results += (
+                f"Source [{j+1}]: Name - {kg_result.content.name}\n"
+            )
+            formatted_results += (
+                f"Description - {kg_result.content.description}\n"
+            )
+            findings = kg_result.metadata.get("findings", None)
+            if findings:
+                formatted_results += f"Supporting Findings: {findings}\n"
 
     return formatted_results
 
@@ -44,7 +48,7 @@ def format_search_results_for_stream(
     if result.vector_search_results:
         context += f"<{VECTOR_SEARCH_STREAM_MARKER}>"
         vector_results_list = [
-            result.dict() for result in result.vector_search_results
+            result.as_dict() for result in result.vector_search_results
         ]
         context += json.dumps(vector_results_list, default=str)
         context += f"</{VECTOR_SEARCH_STREAM_MARKER}>"
diff --git a/py/core/base/utils/splitter/__init__.py b/py/shared/utils/splitter/__init__.py
similarity index 100%
rename from py/core/base/utils/splitter/__init__.py
rename to py/shared/utils/splitter/__init__.py
diff --git a/py/core/base/utils/splitter/text.py b/py/shared/utils/splitter/text.py
similarity index 99%
rename from py/core/base/utils/splitter/text.py
rename to py/shared/utils/splitter/text.py
index ee13b9d24..15a3f475f 100644
--- a/py/core/base/utils/splitter/text.py
+++ b/py/shared/utils/splitter/text.py
@@ -212,7 +212,7 @@ def to_json(
             for key in list(secrets):
                 value = secrets[key]
                 if key in this.__fields__:
-                    secrets[this.__fields__[key].alias] = value
+                    secrets[this.__fields__[key].alias] = value  # type: ignore
             lc_kwargs.update(this.lc_attributes)
 
         # include all secrets, even if not specified in kwargs
diff --git a/py/tests/cli/commands/test_auth.py b/py/tests/cli/commands/test_auth.py
deleted file mode 100644
index a2c5631e3..000000000
--- a/py/tests/cli/commands/test_auth.py
+++ /dev/null
@@ -1,33 +0,0 @@
-import pytest
-from click.testing import CliRunner
-
-from cli.commands.auth import generate_private_key
-
-
-@pytest.fixture
-def runner():
-    return CliRunner()
-
-
-def test_generate_private_key(runner):
-    result = runner.invoke(generate_private_key)
-    assert result.exit_code == 0
-    assert "Generated Private Key:" in result.output
-    assert (
-        "Keep this key secure and use it as your R2R_SECRET_KEY."
-        in result.output
-    )
-
-
-def test_generate_private_key_output_format(runner):
-    result = runner.invoke(generate_private_key)
-    key_line = [
-        line
-        for line in result.output.split("\n")
-        if "Generated Private Key:" in line
-    ][0]
-    key = key_line.split(":")[1].strip()
-    assert len(key) > 32  # The key should be reasonably long
-    assert (
-        key.isalnum() or "-" in key or "_" in key
-    )  # The key should be URL-safe
diff --git a/py/tests/cli/commands/test_ingestion.py b/py/tests/cli/commands/test_ingestion.py
deleted file mode 100644
index c7bcbe1fe..000000000
--- a/py/tests/cli/commands/test_ingestion.py
+++ /dev/null
@@ -1,154 +0,0 @@
-import tempfile
-from unittest.mock import MagicMock, patch
-
-import asyncclick as click
-import pytest
-from click.testing import CliRunner
-
-from cli.cli import cli
-
-
-@pytest.fixture
-def runner():
-    return CliRunner()
-
-
-@pytest.fixture
-def mock_client():
-    return MagicMock()
-
-
-@pytest.fixture
-def temp_file():
-    with tempfile.NamedTemporaryFile(mode="w", delete=False) as f:
-        f.write("Test content")
-        f.flush()
-        yield f.name
-
-
-@pytest.fixture(autouse=True)
-def mock_cli_obj(mock_client):
-    with patch(
-        "cli.commands.ingestion.click.get_current_context"
-    ) as mock_context:
-        mock_context.return_value.obj = mock_client
-        yield
-
-
-@pytest.fixture(autouse=True)
-def mock_r2r_client():
-    with patch(
-        "cli.command_group.R2RClient", new=MagicMock()
-    ) as MockR2RClient:
-        mock_client = MockR2RClient.return_value
-        mock_client.ingest_files.return_value = {"status": "success"}
-        mock_client.update_files.return_value = {"status": "updated"}
-
-        original_callback = cli.callback
-
-        def new_callback(*args, **kwargs):
-            ctx = click.get_current_context()
-            ctx.obj = mock_client
-            return original_callback(*args, **kwargs)
-
-        cli.callback = new_callback
-
-        yield mock_client
-
-        cli.callback = original_callback
-
-
-def test_ingest_files(runner, mock_r2r_client, temp_file):
-    result = runner.invoke(cli, ["ingest-files", temp_file])
-    assert result.exit_code == 0
-    assert '"status": "success"' in result.output
-    mock_r2r_client.ingest_files.assert_called_once_with(
-        [temp_file], None, None
-    )
-
-
-def test_ingest_files_with_options(runner, mock_r2r_client, temp_file):
-    result = runner.invoke(
-        cli,
-        [
-            "ingest-files",
-            temp_file,
-            "--document-ids",
-            "doc1",
-            "--metadatas",
-            '{"key": "value"}',
-        ],
-    )
-    assert result.exit_code == 0
-    assert '"status": "success"' in result.output
-    assert mock_r2r_client.ingest_files.called, "ingest_files was not called"
-    mock_r2r_client.ingest_files.assert_called_once_with(
-        [temp_file], {"key": "value"}, ["doc1"]
-    )
-
-
-def test_update_files(runner, mock_r2r_client, temp_file):
-    result = runner.invoke(
-        cli,
-        [
-            "update-files",
-            temp_file,
-            "--document-ids",
-            "doc1",
-            "--metadatas",
-            '{"key": "new_value"}',
-        ],
-    )
-    assert result.exit_code == 0
-    assert '"status": "updated"' in result.output
-    assert mock_r2r_client.update_files.called, "update_files was not called"
-    mock_r2r_client.update_files.assert_called_once_with(
-        [temp_file], ["doc1"], [{"key": "new_value"}]
-    )
-
-
-@patch("cli.commands.ingestion.ingest_files_from_urls")
-def test_ingest_sample_file(mock_ingest, runner, mock_r2r_client):
-    mock_ingest.return_value = ["aristotle.txt"]
-    result = runner.invoke(cli, ["ingest-sample-file"])
-    assert result.exit_code == 0
-    assert "Sample file ingestion completed" in result.output
-    assert "aristotle.txt" in result.output
-    mock_ingest.assert_called_once()
-
-
-@patch("cli.commands.ingestion.ingest_files_from_urls")
-def test_ingest_sample_files(mock_ingest, runner, mock_r2r_client):
-    mock_ingest.return_value = ["aristotle.txt", "got.txt"]
-    result = runner.invoke(cli, ["ingest-sample-files"])
-    assert result.exit_code == 0
-    assert "Sample files ingestion completed" in result.output
-    assert "aristotle.txt" in result.output
-    assert "got.txt" in result.output
-    mock_ingest.assert_called_once()
-
-
-def test_ingest_files_with_invalid_file(runner, mock_r2r_client):
-    result = runner.invoke(cli, ["ingest-files", "nonexistent_file.txt"])
-    assert result.exit_code != 0
-    assert "Error" in result.output
-    assert not mock_r2r_client.ingest_files.called
-
-
-def test_update_files_with_invalid_metadata(
-    runner, mock_r2r_client, temp_file
-):
-    result = runner.invoke(
-        cli,
-        [
-            "update-files",
-            temp_file,
-            "--document-ids",
-            "doc1",
-            "--metadatas",
-            "invalid_json",
-        ],
-    )
-    assert result.exit_code != 0
-    assert "Error" in result.output
-    assert not mock_r2r_client.update_files.called
diff --git a/py/tests/cli/commands/test_management.py b/py/tests/cli/commands/test_management.py
deleted file mode 100644
index 4b3bce595..000000000
--- a/py/tests/cli/commands/test_management.py
+++ /dev/null
@@ -1,219 +0,0 @@
-import json
-from unittest.mock import MagicMock, patch
-
-import asyncclick as click
-import pytest
-from click.testing import CliRunner
-
-from cli.cli import cli
-
-
-@pytest.fixture
-def runner():
-    return CliRunner()
-
-
-@pytest.fixture(autouse=True)
-def mock_r2r_client():
-    with patch(
-        "cli.command_group.R2RClient", new=MagicMock()
-    ) as MockR2RClient:
-        mock_client = MockR2RClient.return_value
-        mock_client.analytics.return_value = {
-            "status": "success",
-            "result": "analytics data",
-        }
-        mock_client.app_settings.return_value = {
-            "setting1": "value1",
-            "setting2": "value2",
-        }
-        mock_client.users_overview.return_value = [
-            {"id": "user1", "name": "John"},
-            {"id": "user2", "name": "Jane"},
-        ]
-        mock_client.delete.return_value = {"deleted": 2}
-        mock_client.documents_overview.return_value = {
-            "results": [
-                {"id": "doc1", "title": "Document 1"},
-                {"id": "doc2", "title": "Document 2"},
-            ]
-        }
-        mock_client.document_chunks.return_value = {
-            "results": [
-                {
-                    "fragment_id": "chunk1",
-                    "text": "Content 1" * 50,
-                    "metadata": {},
-                },
-                {
-                    "fragment_id": "chunk2",
-                    "text": "Content 2" * 50,
-                    "metadata": {},
-                },
-            ]
-        }
-        mock_client.inspect_knowledge_graph.return_value = {
-            "nodes": 100,
-            "edges": 500,
-        }
-
-        original_callback = cli.callback
-
-        def new_callback(*args, **kwargs):
-            ctx = click.get_current_context()
-            ctx.obj = mock_client
-            return original_callback(*args, **kwargs)
-
-        cli.callback = new_callback
-
-        yield mock_client
-
-        cli.callback = original_callback
-
-
-def test_analytics(runner, mock_r2r_client):
-    filters = {"date": "2023-01-01"}
-    analysis_types = {"type": "user_activity"}
-
-    result = runner.invoke(
-        cli,
-        [
-            "analytics",
-            "--filters",
-            json.dumps(filters),
-            "--analysis-types",
-            json.dumps(analysis_types),
-        ],
-    )
-
-    assert result.exit_code == 0
-    assert "success" in result.output
-    mock_r2r_client.analytics.assert_called_once_with(filters, analysis_types)
-
-
-def test_analytics_invalid_json(runner, mock_r2r_client):
-    result = runner.invoke(
-        cli,
-        [
-            "analytics",
-            "--filters",
-            "invalid_json",
-            "--analysis-types",
-            '{"type": "user_activity"}',
-        ],
-    )
-
-    assert result.exit_code == 2
-    assert "Invalid value for '--filters'" in result.output
-
-
-def test_app_settings(runner, mock_r2r_client):
-    result = runner.invoke(cli, ["app-settings"])
-
-    assert result.exit_code == 0
-    assert "setting1" in result.output
-    assert "value2" in result.output
-    mock_r2r_client.app_settings.assert_called_once()
-
-
-def test_users_overview(runner, mock_r2r_client):
-    result = runner.invoke(cli, ["users-overview", "--user-ids", "user1"])
-
-    assert result.exit_code == 0
-    assert "Time taken:" in result.output
-    mock_r2r_client.users_overview.assert_called_once_with(
-        ["user1"], None, None
-    )
-
-
-def test_users_overview_no_ids(runner, mock_r2r_client):
-    result = runner.invoke(cli, ["users-overview"])
-
-    assert result.exit_code == 0
-    assert "Time taken:" in result.output
-    mock_r2r_client.users_overview.assert_called_once_with(None, None, None)
-
-
-def test_delete(runner, mock_r2r_client):
-    result = runner.invoke(
-        cli, ["delete", "-f", "date:gt:2023-01-01", "-f", "status:eq:inactive"]
-    )
-
-    assert result.exit_code == 0
-    assert "deleted" in result.output
-    expected_filters = {
-        "date": {"$gt": "2023-01-01"},
-        "status": {"$eq": "inactive"},
-    }
-    mock_r2r_client.delete.assert_called_once_with(filters=expected_filters)
-
-
-def test_delete_invalid_filter(runner, mock_r2r_client):
-    result = runner.invoke(cli, ["delete", "-f", "invalid_filter"])
-
-    assert result.exit_code != 0
-
-
-def test_documents_overview_without_document_id(runner, mock_r2r_client):
-    result = runner.invoke(
-        cli,
-        [
-            "documents-overview",
-        ],
-    )
-
-    assert result.exit_code == 0
-    mock_r2r_client.documents_overview.assert_called_once()
-
-
-def test_documents_overview_with_document_id(runner, mock_r2r_client):
-    result = runner.invoke(
-        cli, ["documents-overview", "--document-ids", "doc1"]
-    )
-
-    assert result.exit_code == 0
-    assert "doc1" in result.output
-    mock_r2r_client.documents_overview.assert_called_once_with(
-        ["doc1"], None, None
-    )
-
-
-def test_document_chunks(runner, mock_r2r_client):
-    result = runner.invoke(cli, ["document-chunks", "--document-id", "doc1"])
-
-    assert result.exit_code == 0
-    assert "Number of chunks: 2" in result.output
-    assert "Fragment ID: chunk1" in result.output
-    assert "Text: Content 1" in result.output
-    assert "Content 1" * 5 in result.output
-    assert "..." in result.output
-    assert "Fragment ID: chunk2" in result.output
-    assert "Text: Content 2" in result.output
-    mock_r2r_client.document_chunks.assert_called_once_with("doc1", None, None)
-
-
-def test_document_chunks_no_id(runner, mock_r2r_client):
-    result = runner.invoke(cli, ["document-chunks"])
-
-    assert result.exit_code == 0
-    assert "Error: Document ID is required." in result.output
-
-
-def test_inspect_knowledge_graph_no_kg_provider_specified(
-    runner, mock_r2r_client
-):
-    result = runner.invoke(cli, ["inspect-knowledge-graph", "--limit", "100"])
-
-    assert result.exit_code == 1
-    mock_r2r_client.inspect_knowledge_graph.assert_called_once_with(
-        None, "100"
-    )
-
-
-def test_inspect_knowledge_graph_no_limit_no_kg_provider_specified(
-    runner, mock_r2r_client
-):
-    result = runner.invoke(cli, ["inspect-knowledge-graph"])
-
-    assert result.exit_code == 1
-    mock_r2r_client.inspect_knowledge_graph.assert_called_once_with(None, None)
diff --git a/py/tests/cli/commands/test_restructure.py b/py/tests/cli/commands/test_restructure.py
deleted file mode 100644
index f8a6ccf8e..000000000
--- a/py/tests/cli/commands/test_restructure.py
+++ /dev/null
@@ -1,55 +0,0 @@
-from unittest.mock import MagicMock, patch
-
-import asyncclick as click
-import pytest
-from click.testing import CliRunner
-
-from cli.cli import cli
-
-
-@pytest.fixture
-def runner():
-    return CliRunner()
-
-
-@pytest.fixture
-def mock_client():
-    return MagicMock()
-
-
-@pytest.fixture(autouse=True)
-def mock_cli_obj(mock_client):
-    with patch(
-        "cli.commands.restructure.click.get_current_context"
-    ) as mock_context:
-        mock_context.return_value.obj = mock_client
-        yield
-
-
-@pytest.fixture(autouse=True)
-def mock_r2r_client():
-    with patch(
-        "cli.command_group.R2RClient", new=MagicMock()
-    ) as MockR2RClient:
-        mock_client = MockR2RClient.return_value
-
-        original_callback = cli.callback
-
-        def new_callback(*args, **kwargs):
-            ctx = click.get_current_context()
-            ctx.obj = mock_client
-            return original_callback(*args, **kwargs)
-
-        cli.callback = new_callback
-
-        yield mock_client
-
-        cli.callback = original_callback
-
-
-def test_enrich_graph(runner, mock_r2r_client):
-    result = runner.invoke(cli, ["enrich-graph"])
-
-    assert result.exit_code == 0
-    assert "Time taken" in result.output
-    mock_r2r_client.enrich_graph.assert_called_once()
diff --git a/py/tests/cli/commands/test_templates.py b/py/tests/cli/commands/test_templates.py
deleted file mode 100644
index 3c54227b2..000000000
--- a/py/tests/cli/commands/test_templates.py
+++ /dev/null
@@ -1,72 +0,0 @@
-from unittest.mock import MagicMock, patch
-
-import pytest
-from click.testing import CliRunner
-
-from cli import cli
-
-
-@pytest.fixture
-def runner():
-    return CliRunner()
-
-
-@pytest.fixture
-def mock_get_templates():
-    with patch("cli.commands.templates.get_templates") as mock:
-        mock.return_value = ["template1", "template2"]
-        yield mock
-
-
-@pytest.fixture
-def mock_clone_operation():
-    with patch("cli.commands.templates.clone_template") as mock:
-        yield mock
-
-
-def test_list_templates(runner, mock_get_templates):
-    result = runner.invoke(cli, ["list-templates"])
-    assert result.exit_code == 0
-    assert "Available templates:" in result.output
-    assert "template1" in result.output
-    assert "template2" in result.output
-
-
-def test_list_templates_error(runner, mock_get_templates):
-    mock_get_templates.side_effect = Exception("Failed to fetch templates")
-    result = runner.invoke(cli, ["list-templates"])
-    assert result.exit_code != 0
-    assert "Error: Failed to fetch templates" in result.output
-
-
-def test_clone_success(runner, mock_clone_operation):
-    result = runner.invoke(cli, ["clone", "template1"])
-    assert result.exit_code == 0
-    assert "Successfully cloned template 'template1'" in result.output
-    mock_clone_operation.assert_called_once_with("template1", None)
-
-
-def test_clone_with_location(runner, mock_clone_operation):
-    result = runner.invoke(cli, ["clone", "template1", "custom_location"])
-    assert result.exit_code == 0
-    assert (
-        "Successfully cloned template 'template1' to custom_location"
-        in result.output
-    )
-    mock_clone_operation.assert_called_once_with(
-        "template1", "custom_location"
-    )
-
-
-def test_clone_template_not_found(runner, mock_clone_operation):
-    mock_clone_operation.side_effect = ValueError("Template not found")
-    result = runner.invoke(cli, ["clone", "non_existent_template"])
-    assert result.exit_code != 0
-    assert "Error: Template not found" in result.output
-
-
-def test_clone_unexpected_error(runner, mock_clone_operation):
-    mock_clone_operation.side_effect = Exception("Unexpected error")
-    result = runner.invoke(cli, ["clone", "template1"])
-    assert result.exit_code != 0
-    assert "Error: An unexpected error occurred" in result.output
diff --git a/py/tests/cli/test_cli.py b/py/tests/cli/test_cli.py
deleted file mode 100644
index c4be1cd1c..000000000
--- a/py/tests/cli/test_cli.py
+++ /dev/null
@@ -1,49 +0,0 @@
-import pytest
-from click.testing import CliRunner
-
-from cli.cli import cli, main
-
-
-@pytest.fixture
-def runner():
-    return CliRunner()
-
-
-def test_cli_group_exists():
-    assert callable(cli)
-    assert cli.name == "cli"
-
-
-def test_main_function(runner):
-    result = runner.invoke(cli, ["--help"])
-    assert result.exit_code == 0
-    assert "Usage: cli [OPTIONS] COMMAND [ARGS]..." in result.output
-
-
-def test_commands_added():
-    commands = [
-        "generate-private-key",
-        "ingest-files",
-        "update-files",
-        "ingest-sample-file",
-        "ingest-sample-files",
-        "analytics",
-        "app-settings",
-        "users-overview",
-        "documents-overview",
-        "document-chunks",
-        "inspect-knowledge-graph",
-        "enrich-graph",
-        "search",
-        "rag",
-        "health",
-        "server-stats",
-        "logs",
-        "docker-down",
-        "generate-report",
-        "serve",
-        "update",
-        "version",
-    ]
-    for command in commands:
-        assert command in cli.commands
diff --git a/py/tests/cli/test_command_group.py b/py/tests/cli/test_command_group.py
deleted file mode 100644
index 9b9973d0a..000000000
--- a/py/tests/cli/test_command_group.py
+++ /dev/null
@@ -1,19 +0,0 @@
-import pytest
-from click.testing import CliRunner
-
-from cli.command_group import cli
-
-
-@pytest.fixture
-def runner():
-    return CliRunner()
-
-
-def test_cli_group_no_options():
-    assert len(cli.params) == 1
-
-
-def test_cli_group_help(runner):
-    result = runner.invoke(cli, ["--help"])
-    assert result.exit_code == 0
-    assert "R2R CLI for all core operations." in result.output
diff --git a/py/tests/cli/utils/test_docker_utils.py b/py/tests/cli/utils/test_docker_utils.py
deleted file mode 100644
index cffe18866..000000000
--- a/py/tests/cli/utils/test_docker_utils.py
+++ /dev/null
@@ -1,196 +0,0 @@
-import os
-import subprocess
-import sys
-from io import StringIO
-from unittest.mock import patch
-
-import pytest
-from click.testing import CliRunner
-
-from cli.utils.docker_utils import (
-    bring_down_docker_compose,
-    build_docker_command,
-    check_docker_compose_version,
-    check_llm_reqs,
-    parse_version,
-    remove_r2r_network,
-)
-
-
-@pytest.fixture
-def runner():
-    return CliRunner()
-
-
-def test_bring_down_docker_compose(runner):
-    with patch("os.system") as mock_system:
-        mock_system.return_value = 0
-        result = bring_down_docker_compose("test_project", True, True)
-        assert result == 0
-        mock_system.assert_called_once()
-
-
-@patch("subprocess.check_output")
-@patch("os.system")
-def test_remove_r2r_network(mock_system, mock_check_output):
-    mock_check_output.return_value = b"r2r_test_network\nother_network"
-    mock_system.return_value = 0
-    remove_r2r_network()
-    mock_system.assert_called_once_with("docker network rm r2r_test_network")
-
-
-@pytest.mark.parametrize(
-    "llm_provider,model_provider,env_vars,expected_exit",
-    [
-        ("openai", "openai", {"OPENAI_API_KEY": "test"}, False),
-        ("openai", "openai", {}, True),
-    ],
-)
-def test_check_llm_reqs(llm_provider, model_provider, env_vars, expected_exit):
-    with patch.dict(os.environ, env_vars, clear=True):
-        with patch("click.confirm", return_value=False):
-            with (
-                pytest.raises(SystemExit)
-                if expected_exit
-                else patch("sys.exit")
-            ) as mock_exit:
-                check_llm_reqs(llm_provider, model_provider)
-                if expected_exit:
-                    mock_exit.assert_called_once_with(1)
-
-
-def test_build_docker_command():
-    compose_files = {
-        "base": "base.yaml",
-        "neo4j": "neo4j.yaml",
-        "ollama": "ollama.yaml",
-        "postgres": "postgres.yaml",
-        "hatchet": "hatchet.yaml",
-    }
-    command = build_docker_command(
-        compose_files,
-        "localhost",
-        7272,
-        False,
-        False,
-        False,
-        False,
-        "test_project",
-        "test_image",
-        None,
-        None,
-    )
-    assert (
-        "docker compose -f base.yaml -f neo4j.yaml -f ollama.yaml -f postgres.yaml -f hatchet.yaml"
-        in command
-    )
-    assert "--project-name test_project" in command
-    assert "up -d" in command
-
-
-@pytest.mark.parametrize(
-    "version_output,expected_result,expected_message",
-    [
-        (
-            "Docker Compose version v2.29.0",
-            True,
-            "Docker Compose version 2.29.0 is compatible.",
-        ),
-        (
-            "Docker Compose version v2.24.5",
-            True,
-            "Warning: Docker Compose version 2.24.5 is outdated. Please upgrade to version 2.25.0 or higher.",
-        ),
-        (
-            "Docker Compose version v3.0.0",
-            True,
-            "Docker Compose version 3.0.0 is compatible.",
-        ),
-        (
-            "Docker Compose version 2.29.0",
-            True,
-            "Docker Compose version 2.29.0 is compatible.",
-        ),
-        (
-            "Docker Compose version 2.29.0-desktop.1",
-            True,
-            "Docker Compose version 2.29.0 is compatible.",
-        ),
-    ],
-)
-def test_check_docker_compose_version_success(
-    version_output, expected_result, expected_message
-):
-    with patch(
-        "subprocess.check_output", return_value=version_output.encode()
-    ):
-        captured_output = StringIO()
-        sys.stdout = captured_output
-        result = check_docker_compose_version()
-        sys.stdout = sys.__stdout__
-        assert result == expected_result
-        assert expected_message in captured_output.getvalue()
-
-
-@pytest.mark.parametrize(
-    "version_output,expected_message",
-    [
-        (
-            "Docker Compose version unknown",
-            "Unexpected version format: Docker Compose version unknown",
-        ),
-        (
-            "Not a valid output",
-            "Unexpected version format: Not a valid output",
-        ),
-    ],
-)
-def test_check_docker_compose_version_invalid_format(
-    version_output, expected_message
-):
-    with patch(
-        "subprocess.check_output", return_value=version_output.encode()
-    ):
-        captured_output = StringIO()
-        sys.stdout = captured_output
-        result = check_docker_compose_version()
-        sys.stdout = sys.__stdout__
-        assert result == False
-        assert (
-            "Error checking Docker Compose version"
-            in captured_output.getvalue()
-        )
-        assert expected_message in captured_output.getvalue()
-
-
-def test_check_docker_compose_version_not_installed():
-    error_message = "docker: command not found"
-    mock_error = subprocess.CalledProcessError(
-        1, "docker compose version", error_message.encode()
-    )
-    with patch("subprocess.check_output", side_effect=mock_error):
-        captured_output = StringIO()
-        sys.stdout = captured_output
-        result = check_docker_compose_version()
-        sys.stdout = sys.__stdout__
-        assert result == False
-        assert (
-            "Error: Docker Compose is not installed or not working properly."
-            in captured_output.getvalue()
-        )
-        assert error_message in captured_output.getvalue()
-
-
-def test_check_docker_compose_version_unexpected_error():
-    with patch(
-        "subprocess.check_output", side_effect=Exception("Unexpected error")
-    ):
-        captured_output = StringIO()
-        sys.stdout = captured_output
-        result = check_docker_compose_version()
-        sys.stdout = sys.__stdout__
-        assert result == False
-        assert (
-            "Error checking Docker Compose version: Unexpected error"
-            in captured_output.getvalue()
-        )
diff --git a/py/tests/cli/utils/test_param_types.py b/py/tests/cli/utils/test_param_types.py
deleted file mode 100644
index cb9f58b71..000000000
--- a/py/tests/cli/utils/test_param_types.py
+++ /dev/null
@@ -1,69 +0,0 @@
-from unittest.mock import MagicMock
-
-import asyncclick as click
-import pytest
-
-from cli.utils.param_types import JSON, JsonParamType
-
-
-def test_json_param_type_convert_valid_json():
-    json_type = JsonParamType()
-    result = json_type.convert('{"key": "value"}', None, None)
-    assert result == {"key": "value"}
-
-
-def test_json_param_type_convert_invalid_json():
-    json_type = JsonParamType()
-    with pytest.raises(click.BadParameter) as excinfo:
-        json_type.convert("{invalid json}", None, None)
-    assert "is not a valid JSON string" in str(excinfo.value)
-
-
-def test_json_param_type_convert_dict():
-    json_type = JsonParamType()
-    input_dict = {"key": "value"}
-    result = json_type.convert(input_dict, None, None)
-    assert result == input_dict
-
-
-def test_json_param_type_name():
-    json_type = JsonParamType()
-    assert json_type.name == "json"
-
-
-def test_json_global_instance():
-    assert isinstance(JSON, JsonParamType)
-
-
-def test_json_param_type_convert_with_context():
-    json_type = JsonParamType()
-    mock_ctx = MagicMock()
-    mock_param = MagicMock()
-    result = json_type.convert('{"key": "value"}', mock_param, mock_ctx)
-    assert result == {"key": "value"}
-
-
-def test_json_param_type_convert_empty_string():
-    json_type = JsonParamType()
-    with pytest.raises(click.BadParameter) as excinfo:
-        json_type.convert("", None, None)
-    assert "is not a valid JSON string" in str(excinfo.value)
-
-
-def test_json_param_type_convert_none():
-    json_type = JsonParamType()
-    result = json_type.convert(None, None, None)
-    assert result is None
-
-
-def test_json_param_type_convert_complex_json():
-    json_type = JsonParamType()
-    complex_json = (
-        '{"key1": "value1", "key2": [1, 2, 3], "key3": {"nested": true}}'
-    )
-    result = json_type.convert(complex_json, None, None)
-    assert result == {
-        "key1": "value1",
-        "key2": [1, 2, 3],
-        "key3": {"nested": True},
-    }
diff --git a/py/tests/cli/utils/test_timer.py b/py/tests/cli/utils/test_timer.py
deleted file mode 100644
index 7081d9b5c..000000000
--- a/py/tests/cli/utils/test_timer.py
+++ /dev/null
@@ -1,78 +0,0 @@
-import time
-from unittest.mock import patch
-
-import pytest
-
-from cli.utils.timer import timer
-
-
-def test_timer_measures_time():
-    with patch("time.time") as mock_time:
-        mock_time.side_effect = [0, 0.1]
-
-        @timer()
-        def dummy_function():
-            time.sleep(0.1)
-
-        with patch("click.echo") as mock_echo:
-            dummy_function()
-            mock_echo.assert_called_once_with("Time taken: 0.10 seconds")
-
-
-def test_timer_handles_exceptions():
-    @timer()
-    def error_function():
-        raise ValueError("Test exception")
-
-    with patch("time.time") as mock_time:
-        mock_time.side_effect = [0, 0.1]
-
-        with pytest.raises(ValueError, match="Test exception"):
-            error_function()
-
-
-def test_timer_nested():
-    with patch("time.time") as mock_time:
-        mock_time.side_effect = [0, 0.1, 0.2, 0.3]
-
-        @timer()
-        def outer_function():
-            time.sleep(0.1)
-
-            @timer()
-            def inner_function():
-                time.sleep(0.1)
-
-            inner_function()
-
-        with patch("click.echo") as mock_echo:
-            outer_function()
-            assert mock_echo.call_count == 2
-            mock_echo.assert_any_call("Time taken: 0.10 seconds")
-            mock_echo.assert_any_call("Time taken: 0.30 seconds")
-
-
-def test_timer_zero_duration():
-    with patch("time.time") as mock_time:
-        mock_time.side_effect = [0, 0]
-
-        @timer()
-        def quick_function():
-            pass
-
-        with patch("click.echo") as mock_echo:
-            quick_function()
-            mock_echo.assert_called_once_with("Time taken: 0.00 seconds")
-
-
-def test_timer_as_context_manager():
-    with patch("time.time") as mock_time:
-        mock_time.side_effect = [0, 0.1]
-
-        def function_with_context():
-            with timer():
-                time.sleep(0.1)
-
-        with patch("click.echo") as mock_echo:
-            function_with_context()
-            mock_echo.assert_called_once_with("Time taken: 0.10 seconds")
diff --git a/py/tests/conftest.py b/py/tests/conftest.py
new file mode 100644
index 000000000..a1e29f7dc
--- /dev/null
+++ b/py/tests/conftest.py
@@ -0,0 +1,198 @@
+# tests//conftest.py
+import os
+import random
+import uuid
+
+import pytest
+
+from core import (
+    AuthConfig,
+    BCryptConfig,
+    CompletionConfig,
+    DatabaseConfig,
+    EmbeddingConfig,
+    FileConfig,
+    LocalRunLoggingProvider,
+    LoggingConfig,
+    Vector,
+    VectorEntry,
+    generate_id_from_label,
+)
+from core.providers import (
+    BCryptProvider,
+    LiteCompletionProvider,
+    LiteLLMEmbeddingProvider,
+    PostgresDBProvider,
+    PostgresFileProvider,
+    R2RAuthProvider,
+)
+
+
+# Vectors
+@pytest.fixture(scope="session")
+def dimension():
+    return 128
+
+
+@pytest.fixture(scope="session")
+def num_entries():
+    return 100
+
+
+@pytest.fixture(scope="session")
+def sample_entries(dimension, num_entries):
+    def generate_random_vector_entry(
+        id_value: int, dimension: int
+    ) -> VectorEntry:
+        vector_data = [random.random() for _ in range(dimension)]
+        metadata = {"key": f"value_id_{id_value}", "raw_key": id_value}
+        return VectorEntry(
+            fragment_id=generate_id_from_label(f"id_{id_value}"),
+            extraction_id=uuid.uuid4(),
+            document_id=uuid.uuid4(),
+            user_id=uuid.uuid4(),
+            collection_ids=[uuid.uuid4()],
+            vector=Vector(data=vector_data),
+            text=f"Sample text for id_{id_value}",
+            metadata=metadata,
+        )
+
+    return [
+        generate_random_vector_entry(i, dimension) for i in range(num_entries)
+    ]
+
+
+# Crypto
+@pytest.fixture(scope="session")
+def crypto_config():
+    return BCryptConfig()
+
+
+@pytest.fixture(scope="session")
+def crypto_provider(crypto_config):
+    return BCryptProvider(crypto_config)
+
+
+# Postgres
+@pytest.fixture(scope="session")
+def db_config():
+    collection_id = uuid.uuid4()
+
+    random_project_name = f"test_collection_{collection_id.hex}"
+    return DatabaseConfig.create(
+        provider="postgres", project_name=random_project_name
+    )
+
+
+@pytest.fixture(scope="function")
+async def postgres_db_provider(
+    db_config, dimension, crypto_provider, sample_entries
+):
+    db = PostgresDBProvider(
+        db_config, dimension=dimension, crypto_provider=crypto_provider
+    )
+    await db.initialize()
+    db.vector.upsert_entries(sample_entries)
+    yield db
+    # Teardown
+    # TODO - Add teardown methods
+    # await db.delete_project(db.project_name)
+
+
+@pytest.fixture(scope="function")
+def db_config_temporary():
+    collection_id = uuid.uuid4()
+
+    random_project_name = f"test_collection_{collection_id.hex}"
+    return DatabaseConfig.create(
+        provider="postgres", project_name=random_project_name
+    )
+
+
+@pytest.fixture(scope="function")
+async def temporary_postgres_db_provider(
+    db_config_temporary, dimension, crypto_provider, sample_entries
+):
+    db = PostgresDBProvider(
+        db_config_temporary,
+        dimension=dimension,
+        crypto_provider=crypto_provider,
+    )
+    await db.initialize()
+    db.vector.upsert_entries(sample_entries)
+    try:
+        yield db
+    finally:
+        await db.relational.close()
+        db.vector.close()
+
+
+# Auth
+@pytest.fixture(scope="session")
+def auth_config():
+    return AuthConfig(
+        secret_key="test_secret_key",
+        access_token_lifetime_in_minutes=15,
+        refresh_token_lifetime_in_days=1,
+        require_email_verification=False,
+    )
+
+
+@pytest.fixture(scope="function")
+async def r2r_auth_provider(
+    auth_config, crypto_provider, temporary_postgres_db_provider
+):
+    auth_provider = R2RAuthProvider(
+        auth_config, crypto_provider, temporary_postgres_db_provider
+    )
+    await auth_provider.initialize()
+    yield auth_provider
+
+
+# Embeddings
+@pytest.fixture
+def litellm_provider():
+    config = EmbeddingConfig(
+        provider="litellm",
+        base_model="text-embedding-3-small",
+        base_dimension=1536,
+    )
+    return LiteLLMEmbeddingProvider(config)
+
+
+# File Provider
+@pytest.fixture(scope="function")
+def file_config():
+    return FileConfig(provider="postgres")
+
+
+@pytest.fixture(scope="function")
+async def postgres_file_provider(file_config, temporary_postgres_db_provider):
+    file_provider = PostgresFileProvider(
+        file_config, temporary_postgres_db_provider
+    )
+    await file_provider.initialize()
+    yield file_provider
+    await file_provider._close_connection()
+
+
+# LLM provider
+@pytest.fixture
+def litellm_completion_provider():
+    config = CompletionConfig(provider="litellm")
+    return LiteCompletionProvider(config)
+
+
+# Logging
+@pytest.fixture(scope="function")
+async def local_logging_provider():
+    unique_id = str(uuid.uuid4())
+    logging_path = f"test_{unique_id}.sqlite"
+    provider = LocalRunLoggingProvider(
+        LoggingConfig(logging_path=logging_path)
+    )
+    await provider._init()
+    yield provider
+    await provider.close()
+    if os.path.exists(logging_path):
+        os.remove(logging_path)
diff --git a/py/tests/cli/__init__.py b/py/tests/core/agent/__init__.py
similarity index 100%
rename from py/tests/cli/__init__.py
rename to py/tests/core/agent/__init__.py
diff --git a/py/tests/cli/commands/__init__.py b/py/tests/core/parsers/__init__.py
similarity index 100%
rename from py/tests/cli/commands/__init__.py
rename to py/tests/core/parsers/__init__.py
diff --git a/py/tests/core/parsers/conftest.py b/py/tests/core/parsers/conftest.py
new file mode 100644
index 000000000..0a654bba1
--- /dev/null
+++ b/py/tests/core/parsers/conftest.py
@@ -0,0 +1,16 @@
+import pytest
+
+from core.base import ParsingConfig
+from core.providers.parsing.unstructured_parsing import (
+    UnstructuredParsingProvider,
+)
+
+
+@pytest.fixture
+def parsing_config():
+    return ParsingConfig()
+
+
+@pytest.fixture
+def unstructured_parsing_provider(parsing_config):
+    return UnstructuredParsingProvider(use_api=False, config=parsing_config)
diff --git a/py/tests/test_parser.py b/py/tests/core/parsers/test_parsers.py
similarity index 100%
rename from py/tests/test_parser.py
rename to py/tests/core/parsers/test_parsers.py
diff --git a/py/tests/core/pipelines/__init__.py b/py/tests/core/pipelines/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/py/tests/test_pipeline.py b/py/tests/core/pipelines/test_pipeline_logic.py
similarity index 100%
rename from py/tests/test_pipeline.py
rename to py/tests/core/pipelines/test_pipeline_logic.py
diff --git a/py/tests/core/pipes/__init__.py b/py/tests/core/pipes/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/py/tests/core/providers/auth/test_auth_provider.py b/py/tests/core/providers/auth/test_auth_provider.py
new file mode 100644
index 000000000..fc44165de
--- /dev/null
+++ b/py/tests/core/providers/auth/test_auth_provider.py
@@ -0,0 +1,60 @@
+# tests/providers/auth/test_r2r_auth_provider.py
+import pytest
+
+from core.base import R2RException
+
+
+@pytest.mark.asyncio
+async def test_register_and_login(r2r_auth_provider):
+    email = "test@example.com"
+    password = "password123"
+    user = await r2r_auth_provider.register(email, password)
+    assert user.email == email
+    tokens = await r2r_auth_provider.login(email, password)
+    assert "access_token" in tokens
+    assert "refresh_token" in tokens
+
+
+@pytest.mark.asyncio
+async def test_invalid_login(r2r_auth_provider):
+    email = "test@example.com"
+    password = "password123"
+    await r2r_auth_provider.register(email, password)
+    with pytest.raises(R2RException):
+        await r2r_auth_provider.login(email, "wrong_password")
+
+
+@pytest.mark.asyncio
+async def test_refresh_access_token(r2r_auth_provider):
+    email = "test@example.com"
+    password = "password123"
+    await r2r_auth_provider.register(email, password)
+    tokens = await r2r_auth_provider.login(email, password)
+    new_tokens = await r2r_auth_provider.refresh_access_token(
+        tokens["refresh_token"].token
+    )
+    assert "access_token" in new_tokens
+    assert "refresh_token" in new_tokens
+
+
+@pytest.mark.asyncio
+async def test_change_password(r2r_auth_provider):
+    email = "test@example.com"
+    password = "password123"
+    new_password = "new_password456"
+    user = await r2r_auth_provider.register(email, password)
+    await r2r_auth_provider.change_password(user, password, new_password)
+    tokens = await r2r_auth_provider.login(email, new_password)
+    assert "access_token" in tokens
+    assert "refresh_token" in tokens
+
+
+@pytest.mark.asyncio
+async def test_logout(r2r_auth_provider):
+    email = "test@example.com"
+    password = "password123"
+    await r2r_auth_provider.register(email, password)
+    tokens = await r2r_auth_provider.login(email, password)
+    await r2r_auth_provider.logout(tokens["access_token"].token)
+    with pytest.raises(R2RException):
+        await r2r_auth_provider.decode_token(tokens["access_token"].token)
diff --git a/py/tests/core/providers/database/__init__.py b/py/tests/core/providers/database/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/py/tests/core/providers/database/relational/test_collection_db.py b/py/tests/core/providers/database/relational/test_collection_db.py
new file mode 100644
index 000000000..b43cfa065
--- /dev/null
+++ b/py/tests/core/providers/database/relational/test_collection_db.py
@@ -0,0 +1,178 @@
+from uuid import UUID
+
+import pytest
+
+from core.base import DocumentInfo, DocumentType, R2RException
+from core.base.api.models import CollectionResponse
+
+
+@pytest.mark.asyncio
+async def test_create_collection(temporary_postgres_db_provider):
+    collection = (
+        await temporary_postgres_db_provider.relational.create_collection(
+            "Test Collection", "Test Description"
+        )
+    )
+    assert isinstance(collection, CollectionResponse)
+    assert collection.name == "Test Collection"
+    assert collection.description == "Test Description"
+
+
+@pytest.mark.asyncio
+async def test_get_collection(temporary_postgres_db_provider):
+    created_collection = (
+        await temporary_postgres_db_provider.relational.create_collection(
+            "Test Collection", "Test Description"
+        )
+    )
+    retrieved_collection = (
+        await temporary_postgres_db_provider.relational.get_collection(
+            created_collection.collection_id
+        )
+    )
+    assert retrieved_collection == created_collection
+
+
+@pytest.mark.asyncio
+async def test_update_collection(temporary_postgres_db_provider):
+    created_collection = (
+        await temporary_postgres_db_provider.relational.create_collection(
+            "Test Collection", "Test Description"
+        )
+    )
+    updated_collection = (
+        await temporary_postgres_db_provider.relational.update_collection(
+            created_collection.collection_id,
+            name="Updated Collection",
+            description="Updated Description",
+        )
+    )
+    assert updated_collection.name == "Updated Collection"
+    assert updated_collection.description == "Updated Description"
+
+
+@pytest.mark.asyncio
+async def test_delete_collection(temporary_postgres_db_provider):
+    created_collection = (
+        await temporary_postgres_db_provider.relational.create_collection(
+            "Test Collection", "Test Description"
+        )
+    )
+    await temporary_postgres_db_provider.relational.delete_collection(
+        created_collection.collection_id
+    )
+    with pytest.raises(R2RException):
+        await temporary_postgres_db_provider.relational.get_collection(
+            created_collection.collection_id
+        )
+
+
+@pytest.mark.asyncio
+async def test_list_collections(temporary_postgres_db_provider):
+    await temporary_postgres_db_provider.relational.create_collection(
+        "Collection 1", "Description 1"
+    )
+    await temporary_postgres_db_provider.relational.create_collection(
+        "Collection 2", "Description 2"
+    )
+    collections = (
+        await temporary_postgres_db_provider.relational.list_collections()
+    )
+    assert len(collections["results"]) >= 2
+    assert collections["total_entries"] >= 2
+
+
+@pytest.mark.asyncio
+async def test_get_collections_by_ids(temporary_postgres_db_provider):
+    collection1 = (
+        await temporary_postgres_db_provider.relational.create_collection(
+            "Collection 1", "Description 1"
+        )
+    )
+    collection2 = (
+        await temporary_postgres_db_provider.relational.create_collection(
+            "Collection 2", "Description 2"
+        )
+    )
+    collections = (
+        await temporary_postgres_db_provider.relational.get_collections_by_ids(
+            [collection1.collection_id, collection2.collection_id]
+        )
+    )
+    assert len(collections) == 2
+    assert collections[0].collection_id == collection1.collection_id
+    assert collections[1].collection_id == collection2.collection_id
+
+
+@pytest.mark.asyncio
+async def test_assign_and_remove_document_from_collection(
+    temporary_postgres_db_provider,
+):
+    collection = (
+        await temporary_postgres_db_provider.relational.create_collection(
+            "Test Collection", "Test Description"
+        )
+    )
+    document_id = UUID("00000000-0000-0000-0000-000000000001")
+    await temporary_postgres_db_provider.relational.upsert_documents_overview(
+        DocumentInfo(
+            id=document_id,
+            collection_ids=[],
+            user_id=UUID("00000000-0000-0000-0000-000000000002"),
+            type=DocumentType.PDF,
+            metadata={},
+            version="v1",
+            size_in_bytes=0,
+        )
+    )
+    await temporary_postgres_db_provider.relational.assign_document_to_collection(
+        document_id, collection.collection_id
+    )
+    document_collections = (
+        await temporary_postgres_db_provider.relational.document_collections(
+            document_id
+        )
+    )
+    assert len(document_collections["results"]) == 1
+    assert (
+        document_collections["results"][0].collection_id
+        == collection.collection_id
+    )
+
+    await temporary_postgres_db_provider.relational.remove_document_from_collection(
+        document_id, collection.collection_id
+    )
+    document_collections = (
+        await temporary_postgres_db_provider.relational.document_collections(
+            document_id
+        )
+    )
+    assert len(document_collections["results"]) == 0
+
+
+@pytest.mark.asyncio
+async def test_get_collections_for_user(temporary_postgres_db_provider):
+    user = await temporary_postgres_db_provider.relational.create_user(
+        "test@example.com", "password"
+    )
+    collection1 = (
+        await temporary_postgres_db_provider.relational.create_collection(
+            "Collection 1", "Description 1"
+        )
+    )
+    collection2 = (
+        await temporary_postgres_db_provider.relational.create_collection(
+            "Collection 2", "Description 2"
+        )
+    )
+    await temporary_postgres_db_provider.relational.add_user_to_collection(
+        user.id, collection1.collection_id
+    )
+    await temporary_postgres_db_provider.relational.add_user_to_collection(
+        user.id, collection2.collection_id
+    )
+    user_collections = await temporary_postgres_db_provider.relational.get_collections_for_user(
+        user.id
+    )
+    assert len(user_collections["results"]) == 2
+    assert user_collections["total_entries"] == 2
diff --git a/py/tests/core/providers/database/relational/test_document_db.py b/py/tests/core/providers/database/relational/test_document_db.py
new file mode 100644
index 000000000..940cd6370
--- /dev/null
+++ b/py/tests/core/providers/database/relational/test_document_db.py
@@ -0,0 +1,178 @@
+# tests/providers/database/relational/test_document_db.py
+from uuid import UUID
+
+import pytest
+
+from core.base import (
+    DocumentInfo,
+    DocumentType,
+    IngestionStatus,
+    RestructureStatus,
+)
+
+
+@pytest.mark.asyncio
+async def test_create_table(temporary_postgres_db_provider):
+    await temporary_postgres_db_provider.relational.create_table()
+    # Verify that the table is created with the expected columns and constraints
+    # You can execute a query to check the table structure or use a database inspection tool
+
+
+@pytest.mark.asyncio
+async def test_upsert_documents_overview(temporary_postgres_db_provider):
+    document_info = DocumentInfo(
+        id=UUID("00000000-0000-0000-0000-000000000001"),
+        collection_ids=[UUID("00000000-0000-0000-0000-000000000002")],
+        user_id=UUID("00000000-0000-0000-0000-000000000003"),
+        type=DocumentType.PDF,
+        metadata={},
+        title="Test Document",
+        version="1.0",
+        size_in_bytes=1024,
+        ingestion_status=IngestionStatus.PENDING,
+        restructuring_status=RestructureStatus.PENDING,
+    )
+    await temporary_postgres_db_provider.relational.upsert_documents_overview(
+        document_info
+    )
+
+    # Verify that the document is inserted correctly
+    result = (
+        await temporary_postgres_db_provider.relational.get_documents_overview(
+            filter_document_ids=[document_info.id]
+        )
+    )
+    assert len(result["results"]) == 1
+    inserted_document = result["results"][0]
+    assert inserted_document.id == document_info.id
+    assert inserted_document.collection_ids == document_info.collection_ids
+    assert inserted_document.user_id == document_info.user_id
+    assert inserted_document.type == document_info.type
+    assert inserted_document.metadata == document_info.metadata
+    assert inserted_document.title == document_info.title
+    assert inserted_document.version == document_info.version
+    assert inserted_document.size_in_bytes == document_info.size_in_bytes
+    assert inserted_document.ingestion_status == document_info.ingestion_status
+    assert (
+        inserted_document.restructuring_status
+        == document_info.restructuring_status
+    )
+
+    # Update the document and verify the changes
+    document_info.title = "Updated Test Document"
+    document_info.ingestion_status = IngestionStatus.SUCCESS
+    await temporary_postgres_db_provider.relational.upsert_documents_overview(
+        document_info
+    )
+
+    result = (
+        await temporary_postgres_db_provider.relational.get_documents_overview(
+            filter_document_ids=[document_info.id]
+        )
+    )
+    assert len(result["results"]) == 1
+    updated_document = result["results"][0]
+    assert updated_document.title == "Updated Test Document"
+    assert updated_document.ingestion_status == IngestionStatus.SUCCESS
+
+
+@pytest.mark.asyncio
+async def test_delete_from_documents_overview(temporary_postgres_db_provider):
+    document_info = DocumentInfo(
+        id=UUID("00000000-0000-0000-0000-000000000001"),
+        collection_ids=[UUID("00000000-0000-0000-0000-000000000002")],
+        user_id=UUID("00000000-0000-0000-0000-000000000003"),
+        type=DocumentType.PDF,
+        metadata={},
+        title="Test Document",
+        version="1.0",
+        size_in_bytes=1024,
+        ingestion_status=IngestionStatus.PENDING,
+        restructuring_status=RestructureStatus.PENDING,
+    )
+    await temporary_postgres_db_provider.relational.upsert_documents_overview(
+        document_info
+    )
+
+    await temporary_postgres_db_provider.relational.delete_from_documents_overview(
+        document_info.id
+    )
+
+    # Verify that the document is deleted
+    result = (
+        await temporary_postgres_db_provider.relational.get_documents_overview(
+            filter_document_ids=[document_info.id]
+        )
+    )
+    assert len(result["results"]) == 0
+
+
+@pytest.mark.asyncio
+async def test_get_documents_overview(temporary_postgres_db_provider):
+    document_info1 = DocumentInfo(
+        id=UUID("00000000-0000-0000-0000-000000000001"),
+        collection_ids=[UUID("00000000-0000-0000-0000-000000000002")],
+        user_id=UUID("00000000-0000-0000-0000-000000000003"),
+        type=DocumentType.PDF,
+        metadata={},
+        title="Test Document 1",
+        version="1.0",
+        size_in_bytes=1024,
+        ingestion_status=IngestionStatus.PENDING,
+        restructuring_status=RestructureStatus.PENDING,
+    )
+    document_info2 = DocumentInfo(
+        id=UUID("00000000-0000-0000-0000-000000000004"),
+        collection_ids=[UUID("00000000-0000-0000-0000-000000000002")],
+        user_id=UUID("00000000-0000-0000-0000-000000000003"),
+        type=DocumentType.DOCX,
+        metadata={},
+        title="Test Document 2",
+        version="1.0",
+        size_in_bytes=2048,
+        ingestion_status=IngestionStatus.SUCCESS,
+        restructuring_status=RestructureStatus.PENDING,
+    )
+    await temporary_postgres_db_provider.relational.upsert_documents_overview(
+        [document_info1, document_info2]
+    )
+
+    # Test filtering by user ID
+    result = (
+        await temporary_postgres_db_provider.relational.get_documents_overview(
+            filter_user_ids=[UUID("00000000-0000-0000-0000-000000000003")]
+        )
+    )
+    assert len(result["results"]) == 2
+    assert result["total_entries"] == 2
+
+    # Test filtering by document ID
+    result = (
+        await temporary_postgres_db_provider.relational.get_documents_overview(
+            filter_document_ids=[UUID("00000000-0000-0000-0000-000000000001")]
+        )
+    )
+    assert len(result["results"]) == 1
+    assert result["results"][0].id == UUID(
+        "00000000-0000-0000-0000-000000000001"
+    )
+
+    # Test filtering by collection ID
+    result = (
+        await temporary_postgres_db_provider.relational.get_documents_overview(
+            filter_collection_ids=[
+                UUID("00000000-0000-0000-0000-000000000002")
+            ]
+        )
+    )
+    assert len(result["results"]) == 2
+    assert result["total_entries"] == 2
+
+    # Test pagination
+    result = (
+        await temporary_postgres_db_provider.relational.get_documents_overview(
+            offset=1, limit=1
+        )
+    )
+    assert len(result["results"]) == 1
+    assert result["total_entries"] == 2
diff --git a/py/tests/core/providers/database/relational/test_relational_db_provider.py b/py/tests/core/providers/database/relational/test_relational_db_provider.py
new file mode 100644
index 000000000..7b631826e
--- /dev/null
+++ b/py/tests/core/providers/database/relational/test_relational_db_provider.py
@@ -0,0 +1,10 @@
+# tests/providers/database/test_relational_db_provider.py
+import pytest
+
+from core.providers.database import PostgresDBProvider
+
+
+@pytest.mark.asyncio
+async def test_relational_db_initialization(postgres_db_provider):
+    assert isinstance(postgres_db_provider, PostgresDBProvider)
+    assert postgres_db_provider.relational is not None
diff --git a/py/tests/core/providers/database/relational/test_user_db.py b/py/tests/core/providers/database/relational/test_user_db.py
new file mode 100644
index 000000000..6856e2003
--- /dev/null
+++ b/py/tests/core/providers/database/relational/test_user_db.py
@@ -0,0 +1,160 @@
+# tests/providers/database/relational/test_user_db.py
+from datetime import datetime, timedelta
+from uuid import UUID
+
+import pytest
+
+from core.base.api.models import UserResponse
+
+
+@pytest.mark.asyncio
+async def test_create_user(temporary_postgres_db_provider):
+    user = await temporary_postgres_db_provider.relational.create_user(
+        "test@example.com", "password"
+    )
+    assert isinstance(user, UserResponse)
+    assert user.email == "test@example.com"
+
+
+@pytest.mark.asyncio
+async def test_get_user_by_id(temporary_postgres_db_provider):
+    user = await temporary_postgres_db_provider.relational.create_user(
+        "test@example.com", "password"
+    )
+    retrieved_user = (
+        await temporary_postgres_db_provider.relational.get_user_by_id(user.id)
+    )
+    assert retrieved_user == user
+
+
+@pytest.mark.asyncio
+async def test_get_user_by_email(temporary_postgres_db_provider):
+    user = await temporary_postgres_db_provider.relational.create_user(
+        "test@example.com", "password"
+    )
+    retrieved_user = (
+        await temporary_postgres_db_provider.relational.get_user_by_email(
+            "test@example.com"
+        )
+    )
+    assert retrieved_user == user
+
+
+@pytest.mark.asyncio
+async def test_delete_user(temporary_postgres_db_provider):
+    user = await temporary_postgres_db_provider.relational.create_user(
+        "test@example.com", "password"
+    )
+    await temporary_postgres_db_provider.relational.delete_user(user.id)
+    user = await temporary_postgres_db_provider.relational.get_user_by_id(
+        user.id
+    )
+    assert user is None
+
+
+@pytest.mark.asyncio
+async def test_update_user(temporary_postgres_db_provider):
+    user = await temporary_postgres_db_provider.relational.create_user(
+        "test@example.com", "password"
+    )
+    updated_user = UserResponse(
+        id=user.id,
+        email="updated@example.com",
+        is_superuser=True,
+        is_active=False,
+        is_verified=True,
+        name="Updated Name",
+        profile_picture="updated_picture.jpg",
+        bio="Updated bio",
+        collection_ids=[],
+    )
+    result = await temporary_postgres_db_provider.relational.update_user(
+        updated_user
+    )
+    assert result.email == updated_user.email
+
+
+@pytest.mark.asyncio
+async def test_update_user_password(temporary_postgres_db_provider):
+    user = await temporary_postgres_db_provider.relational.create_user(
+        "test@example.com", "password"
+    )
+    await temporary_postgres_db_provider.relational.update_user_password(
+        user.id, "new_password"
+    )
+    # Additional assertions can be added based on the expected behavior
+
+
+@pytest.mark.asyncio
+async def test_get_all_users(temporary_postgres_db_provider):
+    await temporary_postgres_db_provider.relational.create_user(
+        "test1@example.com", "password"
+    )
+    await temporary_postgres_db_provider.relational.create_user(
+        "test2@example.com", "password"
+    )
+    users = await temporary_postgres_db_provider.relational.get_all_users()
+    assert len(users) >= 2
+    assert any(user.email == "test1@example.com" for user in users)
+    assert any(user.email == "test2@example.com" for user in users)
+
+
+@pytest.mark.asyncio
+async def test_store_and_verify_verification_code(
+    temporary_postgres_db_provider,
+):
+    user = await temporary_postgres_db_provider.relational.create_user(
+        "test@example.com", "password"
+    )
+    verification_code = "123456"
+    expiry = datetime.utcnow() + timedelta(hours=1)
+    await temporary_postgres_db_provider.relational.store_verification_code(
+        user.id, verification_code, expiry
+    )
+    await temporary_postgres_db_provider.relational.verify_user(
+        verification_code
+    )
+    updated_user = (
+        await temporary_postgres_db_provider.relational.get_user_by_id(user.id)
+    )
+    assert updated_user.is_verified
+
+
+@pytest.mark.asyncio
+async def test_store_and_get_reset_token(temporary_postgres_db_provider):
+    user = await temporary_postgres_db_provider.relational.create_user(
+        "test@example.com", "password"
+    )
+    reset_token = "reset_token"
+    expiry = datetime.utcnow() + timedelta(hours=1)
+    await temporary_postgres_db_provider.relational.store_reset_token(
+        user.id, reset_token, expiry
+    )
+    user_id = await temporary_postgres_db_provider.relational.get_user_id_by_reset_token(
+        reset_token
+    )
+    assert user_id == user.id
+
+
+@pytest.mark.asyncio
+async def test_add_and_remove_user_from_collection(
+    temporary_postgres_db_provider,
+):
+    user = await temporary_postgres_db_provider.relational.create_user(
+        "test@example.com", "password"
+    )
+    collection_id = UUID("00000000-0000-0000-0000-000000000001")
+    await temporary_postgres_db_provider.relational.add_user_to_collection(
+        user.id, collection_id
+    )
+    updated_user = (
+        await temporary_postgres_db_provider.relational.get_user_by_id(user.id)
+    )
+    assert collection_id in updated_user.collection_ids
+    await temporary_postgres_db_provider.relational.remove_user_from_collection(
+        user.id, collection_id
+    )
+    updated_user = (
+        await temporary_postgres_db_provider.relational.get_user_by_id(user.id)
+    )
+    assert collection_id not in updated_user.collection_ids
diff --git a/py/tests/core/providers/database/test_vector_db_provider.py b/py/tests/core/providers/database/test_vector_db_provider.py
new file mode 100644
index 000000000..0fe76d383
--- /dev/null
+++ b/py/tests/core/providers/database/test_vector_db_provider.py
@@ -0,0 +1,289 @@
+import pytest
+
+from core.providers.database import PostgresDBProvider
+from r2r import VectorSearchSettings
+
+
+@pytest.mark.asyncio
+async def test_vector_db_initialization(postgres_db_provider):
+    assert isinstance(postgres_db_provider, PostgresDBProvider)
+    assert postgres_db_provider.vector is not None
+
+
+@pytest.mark.asyncio
+async def test_search_equality_filter(postgres_db_provider, sample_entries):
+    query_vector = sample_entries[0].vector
+    results = postgres_db_provider.vector.semantic_search(
+        query_vector.data,
+        VectorSearchSettings(
+            search_limit=10, filters={"key": {"$eq": "value_id_0"}}
+        ),
+    )
+    assert len(results) == 1
+    assert results[0].metadata["key"] == "value_id_0"
+
+
+@pytest.mark.asyncio
+async def test_search_not_equal_filter(postgres_db_provider, sample_entries):
+    query_vector = sample_entries[0].vector
+    results = postgres_db_provider.vector.semantic_search(
+        query_vector.data,
+        VectorSearchSettings(
+            search_limit=100, filters={"key": {"$ne": "value_id_0"}}
+        ),
+    )
+    assert len(results) == 99
+    assert all(r.metadata["key"] != "value_id_0" for r in results)
+
+
+@pytest.mark.asyncio
+async def test_search_greater_than_filter(
+    postgres_db_provider, sample_entries
+):
+    query_vector = sample_entries[0].vector
+    results = postgres_db_provider.vector.semantic_search(
+        query_vector.data,
+        VectorSearchSettings(
+            search_limit=100, filters={"raw_key": {"$gt": 50}}
+        ),
+    )
+    assert len(results) == 49
+    assert all(int(r.text.split("_")[-1]) > 50 for r in results)
+
+
+@pytest.mark.asyncio
+async def test_search_less_than_or_equal_filter(
+    postgres_db_provider, sample_entries
+):
+    query_vector = sample_entries[0].vector
+    results = postgres_db_provider.vector.semantic_search(
+        query_vector.data,
+        VectorSearchSettings(
+            search_limit=10,
+            filters={"raw_key": {"$lte": 20}},
+            ef_search=100,  # TODO - Better understand why we need to set this to search the entire database.
+        ),
+    )  # TODO - Why is this number not always 10?
+    assert len(results) == 10
+
+    results = postgres_db_provider.vector.semantic_search(
+        query_vector.data,
+        VectorSearchSettings(
+            search_limit=100, filters={"raw_key": {"$lte": 20}}
+        ),
+    )
+    assert len(results) == 21
+    assert all(int(r.text.split("_")[-1]) <= 20 for r in results)
+
+
+@pytest.mark.asyncio
+async def test_search_in_filter(postgres_db_provider, sample_entries):
+    query_vector = sample_entries[0].vector
+    results = postgres_db_provider.vector.semantic_search(
+        query_vector.data,
+        VectorSearchSettings(
+            search_limit=10,
+            filters={"key": {"$in": ["value_id_0", "value_id_1"]}},
+        ),
+    )
+    assert len(results) == 2
+    assert all(
+        r.metadata["key"] in ["value_id_0", "value_id_1"] for r in results
+    )
+
+
+@pytest.mark.asyncio
+async def test_search_complex_and_filter(postgres_db_provider, sample_entries):
+    query_vector = sample_entries[0].vector
+    results = postgres_db_provider.vector.semantic_search(
+        query_vector.data,
+        VectorSearchSettings(
+            search_limit=10,
+            filters={
+                "$and": [
+                    {"key": {"$eq": "value_id_0"}},
+                    {"raw_key": {"$lt": 50}},
+                ]
+            },
+        ),
+    )
+    assert len(results) == 1
+    assert results[0].metadata["key"] == "value_id_0"
+    assert int(results[0].text.split("_")[-1]) < 50
+
+
+@pytest.mark.asyncio
+async def test_search_complex_or_filter(postgres_db_provider, sample_entries):
+    query_vector = sample_entries[0].vector
+    results = postgres_db_provider.vector.semantic_search(
+        query_vector.data,
+        VectorSearchSettings(
+            search_limit=11,
+            ef_search=100,  # TODO - Better understand why we need to set this to search the entire database.
+            filters={
+                "$or": [
+                    {"key": {"$eq": "value_id_0"}},
+                    {"raw_key": {"$gte": 90}},
+                ]
+            },
+        ),
+    )
+    assert len(results) == 11
+    assert any(r.metadata["key"] == "value_id_0" for r in results)
+    assert any(int(r.text.split("_")[-1]) >= 90 for r in results)
+
+
+@pytest.mark.asyncio
+async def test_search_nested_and_or_filters(
+    postgres_db_provider, sample_entries
+):
+    query_vector = sample_entries[0].vector
+    results = postgres_db_provider.vector.semantic_search(
+        query_vector.data,
+        VectorSearchSettings(
+            search_limit=10,
+            ef_search=100,  # TODO - Better understand why we need to set this to search the entire database.
+            filters={
+                "$and": [
+                    {"key": {"$eq": "value_id_0"}},
+                    {
+                        "$or": [
+                            {"key": {"$in": ["value_id_0", "value_id_1"]}},
+                            {"raw_key": {"$gt": 98}},
+                        ]
+                    },
+                ]
+            },
+        ),
+    )
+    assert len(results) == 1
+    assert results[0].metadata["key"] == "value_id_0"
+    assert results[0].text == "Sample text for id_0"
+
+
+@pytest.mark.asyncio
+async def test_delete_equality(temporary_postgres_db_provider, sample_entries):
+    deleted_ids = temporary_postgres_db_provider.vector.delete(
+        {"key": {"$eq": "value_id_0"}}
+    )
+    assert len(deleted_ids) == 1
+    remaining = temporary_postgres_db_provider.vector.semantic_search(
+        sample_entries[0].vector.data,
+        VectorSearchSettings(search_limit=100),
+    )
+    assert len(remaining) == 99
+    assert all(r.metadata["key"] != "value_id_0" for r in remaining)
+
+
+@pytest.mark.asyncio
+async def test_delete_greater_than(
+    temporary_postgres_db_provider, sample_entries
+):
+    deleted_ids = temporary_postgres_db_provider.vector.delete(
+        {"raw_key": {"$gt": 90}}
+    )
+    assert len(deleted_ids) == 9
+    remaining = temporary_postgres_db_provider.vector.semantic_search(
+        sample_entries[0].vector.data,
+        VectorSearchSettings(search_limit=100),
+    )
+    assert len(remaining) == 91
+    assert all(int(r.text.split("_")[-1]) <= 90 for r in remaining)
+
+
+@pytest.mark.asyncio
+async def test_delete_in(temporary_postgres_db_provider, sample_entries):
+    deleted_ids = temporary_postgres_db_provider.vector.delete(
+        {"key": {"$in": ["value_id_0", "value_id_1"]}}
+    )
+    assert len(deleted_ids) == 2
+    remaining = temporary_postgres_db_provider.vector.semantic_search(
+        sample_entries[0].vector.data,
+        VectorSearchSettings(search_limit=100),
+    )
+    assert len(remaining) == 98
+    assert all(
+        r.metadata["key"] not in ["value_id_0", "value_id_1"]
+        for r in remaining
+    )
+
+
+@pytest.mark.asyncio
+async def test_delete_complex_and(
+    temporary_postgres_db_provider, sample_entries
+):
+    deleted_ids = temporary_postgres_db_provider.vector.delete(
+        {
+            "$and": [
+                {"key": {"$eq": "value_id_0"}},
+                {"raw_key": {"$lt": 50}},
+            ]
+        }
+    )
+    assert len(deleted_ids) == 1
+    remaining = temporary_postgres_db_provider.vector.semantic_search(
+        sample_entries[0].vector.data,
+        VectorSearchSettings(search_limit=100),
+    )
+    assert len(remaining) == 99
+    assert not any(
+        r.metadata["key"] == "value_id_0" and int(r.text.split("_")[-1]) < 50
+        for r in remaining
+    )
+
+
+@pytest.mark.asyncio
+async def test_delete_complex_or(
+    temporary_postgres_db_provider, sample_entries
+):
+    deleted_ids = temporary_postgres_db_provider.vector.delete(
+        {
+            "$or": [
+                {"key": {"$eq": "value_id_0"}},
+                {"raw_key": {"$gte": 90}},
+            ]
+        }
+    )
+    assert len(deleted_ids) == 11
+    remaining = temporary_postgres_db_provider.vector.semantic_search(
+        sample_entries[0].vector.data,
+        VectorSearchSettings(search_limit=100),
+    )
+    assert len(remaining) == 89
+    assert all(
+        r.metadata["key"] != "value_id_0" and int(r.text.split("_")[-1]) < 90
+        for r in remaining
+    )
+
+
+@pytest.mark.asyncio
+async def test_delete_nested_and_or(
+    temporary_postgres_db_provider, sample_entries
+):
+    deleted_ids = temporary_postgres_db_provider.vector.delete(
+        {
+            "$and": [
+                {"key": {"$eq": "value_id_0"}},
+                {
+                    "$or": [
+                        {"key": {"$in": ["value_id_0", "value_id_1"]}},
+                        {"raw_key": {"$gt": 98}},
+                    ]
+                },
+            ]
+        }
+    )
+    assert len(deleted_ids) == 1
+    remaining = temporary_postgres_db_provider.vector.semantic_search(
+        sample_entries[0].vector.data,
+        VectorSearchSettings(search_limit=100),
+    )
+    assert len(remaining) == 99
+    assert not any(
+        r.metadata["key"] == "value_id_0"
+        and (
+            r.metadata["key"] in ["value_id_0", "value_id_1"]
+            or int(r.text.split("_")[-1]) > 98
+        )
+        for r in remaining
+    )
diff --git a/py/tests/core/providers/embedding/conftest.py b/py/tests/core/providers/embedding/conftest.py
new file mode 100644
index 000000000..48cf7fb69
--- /dev/null
+++ b/py/tests/core/providers/embedding/conftest.py
@@ -0,0 +1,39 @@
+import asyncio
+
+import pytest
+
+from core import EmbeddingConfig
+from core.providers import OllamaEmbeddingProvider, OpenAIEmbeddingProvider
+
+
+@pytest.fixture(scope="session", autouse=True)
+def event_loop_policy():
+    asyncio.set_event_loop_policy(asyncio.DefaultEventLoopPolicy())
+
+
+@pytest.fixture(scope="function", autouse=True)
+async def cleanup_tasks():
+    yield
+    tasks = [t for t in asyncio.all_tasks() if t is not asyncio.current_task()]
+    [task.cancel() for task in tasks]
+    await asyncio.gather(*tasks, return_exceptions=True)
+
+
+@pytest.fixture
+def openai_provider():
+    config = EmbeddingConfig(
+        provider="openai",
+        base_model="text-embedding-ada-002",
+        base_dimension=1536,
+    )
+    return OpenAIEmbeddingProvider(config)
+
+
+@pytest.fixture
+def ollama_provider():
+    config = EmbeddingConfig(
+        provider="ollama",
+        base_model="mxbai-embed-large",
+        base_dimension=1024,
+    )
+    return OllamaEmbeddingProvider(config)
diff --git a/py/tests/core/providers/embedding/test_litellm_embedding_provider.py b/py/tests/core/providers/embedding/test_litellm_embedding_provider.py
new file mode 100644
index 000000000..b3c35a83e
--- /dev/null
+++ b/py/tests/core/providers/embedding/test_litellm_embedding_provider.py
@@ -0,0 +1,136 @@
+import asyncio
+import contextlib
+
+import pytest
+
+from core import EmbeddingConfig
+from core.providers import LiteLLMEmbeddingProvider
+
+
+@pytest.fixture(scope="session", autouse=True)
+def event_loop_policy():
+    asyncio.set_event_loop_policy(asyncio.DefaultEventLoopPolicy())
+
+
+@pytest.fixture(scope="function", autouse=True)
+async def cleanup_tasks():
+    yield
+    tasks = [t for t in asyncio.all_tasks() if t is not asyncio.current_task()]
+    [task.cancel() for task in tasks]
+    await asyncio.gather(*tasks, return_exceptions=True)
+
+
+@pytest.fixture
+def litellm_provider():
+    config = EmbeddingConfig(
+        provider="litellm",
+        base_model="openai/text-embedding-3-small",
+        base_dimension=1536,
+    )
+
+    return LiteLLMEmbeddingProvider(config)
+
+
+def test_litellm_initialization(litellm_provider):
+    assert isinstance(litellm_provider, LiteLLMEmbeddingProvider)
+    assert litellm_provider.base_model == "openai/text-embedding-3-small"
+    assert litellm_provider.base_dimension == 1536
+
+
+def test_litellm_invalid_provider_initialization():
+    with pytest.raises(ValueError):
+        config = EmbeddingConfig(provider="invalid_provider")
+        LiteLLMEmbeddingProvider(config)
+
+
+def test_litellm_get_embedding(litellm_provider):
+    embedding = litellm_provider.get_embedding("test text")
+    assert len(embedding) == 1536
+    assert isinstance(embedding, list)
+
+
+@pytest.mark.asyncio
+async def test_litellm_async_get_embedding(litellm_provider):
+    with contextlib.suppress(asyncio.CancelledError):
+        embedding = await litellm_provider.async_get_embedding("test text")
+        assert len(embedding) == 1536
+        assert isinstance(embedding, list)
+
+
+def test_litellm_get_embeddings(litellm_provider):
+    embeddings = litellm_provider.get_embeddings(["text1", "text2"])
+    assert len(embeddings) == 2
+    assert all(len(emb) == 1536 for emb in embeddings)
+
+
+@pytest.mark.asyncio
+async def test_litellm_async_get_embeddings(litellm_provider):
+    with contextlib.suppress(asyncio.CancelledError):
+        embeddings = await litellm_provider.async_get_embeddings(
+            ["text1", "text2"]
+        )
+        assert len(embeddings) == 2
+        assert all(len(emb) == 1536 for emb in embeddings)
+
+
+def test_litellm_rerank_model_not_supported():
+    config = EmbeddingConfig(
+        provider="litellm",
+        base_model="openai/text-embedding-3-small",
+        base_dimension=1536,
+        rerank_model="some-model",
+    )
+    with pytest.raises(
+        ValueError, match="does not support separate reranking"
+    ):
+        LiteLLMEmbeddingProvider(config)
+
+
+def test_litellm_unsupported_stage():
+    config = EmbeddingConfig(
+        provider="litellm",
+        base_model="openai/text-embedding-3-small",
+        base_dimension=1536,
+    )
+    provider = LiteLLMEmbeddingProvider(config)
+    with pytest.raises(
+        ValueError, match="LiteLLMEmbeddingProvider only supports search stage"
+    ):
+        provider.get_embedding(
+            "test", stage=LiteLLMEmbeddingProvider.PipeStage.RERANK
+        )
+
+
+@pytest.mark.asyncio
+async def test_litellm_async_unsupported_stage():
+    config = EmbeddingConfig(
+        provider="litellm",
+        base_model="openai/text-embedding-3-small",
+        base_dimension=1536,
+    )
+    provider = LiteLLMEmbeddingProvider(config)
+    with pytest.raises(
+        ValueError, match="LiteLLMEmbeddingProvider only supports search stage"
+    ):
+        await provider.async_get_embedding(
+            "test", stage=LiteLLMEmbeddingProvider.PipeStage.RERANK
+        )
+
+
+def test_litellm_get_embedding_error(mocker, litellm_provider):
+    mocker.patch.object(
+        litellm_provider, "get_embedding", side_effect=Exception("Test error")
+    )
+    with pytest.raises(Exception, match="Test error"):
+        litellm_provider.get_embedding("test")
+
+
+@pytest.mark.asyncio
+async def test_litellm_async_get_embedding_error(mocker, litellm_provider):
+    mocker.patch.object(
+        litellm_provider,
+        "async_get_embedding",
+        side_effect=Exception("Test error"),
+    )
+    with pytest.raises(Exception, match="Test error"):
+        await litellm_provider.async_get_embedding("test")
diff --git a/py/tests/core/providers/file/test_file_provider.py b/py/tests/core/providers/file/test_file_provider.py
new file mode 100644
index 000000000..70988ec77
--- /dev/null
+++ b/py/tests/core/providers/file/test_file_provider.py
@@ -0,0 +1,71 @@
+import io
+import uuid
+
+import pytest
+
+
+@pytest.mark.asyncio
+async def test_store_and_retrieve_file(postgres_file_provider):
+    document_id = uuid.uuid4()
+    file_name = "test_file.txt"
+    file_content = io.BytesIO(b"Test file content")
+    file_type = "text/plain"
+
+    await postgres_file_provider.store_file(
+        document_id, file_name, file_content, file_type
+    )
+    retrieved_file = await postgres_file_provider.retrieve_file(document_id)
+
+    assert retrieved_file is not None
+    assert retrieved_file[0] == file_name
+    assert retrieved_file[1].read() == b"Test file content"
+    assert retrieved_file[2] == len(b"Test file content")
+
+
+@pytest.mark.asyncio
+async def test_delete_file(postgres_file_provider):
+    document_id = uuid.uuid4()
+    file_name = "test_file.txt"
+    file_content = io.BytesIO(b"Test file content")
+    file_type = "text/plain"
+
+    await postgres_file_provider.store_file(
+        document_id, file_name, file_content, file_type
+    )
+    deleted = await postgres_file_provider.delete_file(document_id)
+
+    assert deleted is True
+    with pytest.raises(Exception):
+        await postgres_file_provider.retrieve_file(document_id)
+
+
+@pytest.mark.asyncio
+async def test_get_files_overview(postgres_file_provider):
+    document_ids = [uuid.uuid4() for _ in range(5)]
+    file_names = [f"test_file_{i}.txt" for i in range(5)]
+    file_contents = [
+        io.BytesIO(f"Test file content {i}".encode()) for i in range(5)
+    ]
+    file_type = "text/plain"
+
+    for document_id, file_name, file_content in zip(
+        document_ids, file_names, file_contents
+    ):
+        await postgres_file_provider.store_file(
+            document_id, file_name, file_content, file_type
+        )
+
+    files_overview = await postgres_file_provider.get_files_overview(limit=3)
+
+    assert len(files_overview) == 3
+    assert all(file["document_id"] in document_ids for file in files_overview)
+    assert all(file["file_name"] in file_names for file in files_overview)
+
+    filtered_files_overview = await postgres_file_provider.get_files_overview(
+        filter_document_ids=[document_ids[0], document_ids[1]],
+        filter_file_names=[file_names[0]],
+    )
+
+    assert len(filtered_files_overview) == 1
+    assert filtered_files_overview[0]["document_id"] == document_ids[0]
+    assert filtered_files_overview[0]["file_name"] == file_names[0]
diff --git a/py/tests/test_kg.py b/py/tests/core/providers/kg/test_kg.py
similarity index 98%
rename from py/tests/test_kg.py
rename to py/tests/core/providers/kg/test_kg.py
index a106612bc..d82fad50f 100644
--- a/py/tests/test_kg.py
+++ b/py/tests/core/providers/kg/test_kg.py
@@ -18,6 +18,7 @@
 @pytest.fixture
 def kg_extraction_pipe():
     return KGTriplesExtractionPipe(
+        config=MagicMock(),
         kg_provider=MagicMock(),
         database_provider=MagicMock(),
         llm_provider=MagicMock(),
@@ -30,10 +31,10 @@ def kg_extraction_pipe():
 def document_fragment():
     return DocumentFragment(
         id=uuid4(),
+        collection_ids=[uuid4()],
         extraction_id=uuid4(),
         document_id=uuid4(),
         user_id=uuid4(),
-        group_ids=[uuid4()],
         data="Test data",
         metadata={},
     )
@@ -64,7 +65,7 @@ async def test_extract_kg_success(kg_extraction_pipe, document_fragment):
         )
     )
     result = await kg_extraction_pipe.extract_kg(
-        document_fragment, generation_config=GenerationConfig()
+        [document_fragment], GenerationConfig(), 10, [], []
     )
 
     assert isinstance(result, KGExtraction)
diff --git a/py/tests/core/providers/llm/test_litellm_llm_provider.py b/py/tests/core/providers/llm/test_litellm_llm_provider.py
new file mode 100644
index 000000000..de651a686
--- /dev/null
+++ b/py/tests/core/providers/llm/test_litellm_llm_provider.py
@@ -0,0 +1,29 @@
+import asyncio
+import contextlib
+
+import pytest
+
+from core import CompletionConfig, GenerationConfig
+from core.providers import LiteCompletionProvider
+
+
+def test_litellm_initialization(litellm_completion_provider):
+    assert isinstance(litellm_completion_provider, LiteCompletionProvider)
+
+
+def test_litellm_invalid_provider_initialization():
+    with pytest.raises(ValueError):
+        config = CompletionConfig(provider="invalid_provider")
+        LiteCompletionProvider(config)
+
+
+@pytest.mark.asyncio
+async def test_litellm_async_completion(litellm_completion_provider):
+    generation_config = GenerationConfig(model="gpt-3.5-turbo")
+    messages = [{"role": "user", "content": "Hello!"}]
+
+    with contextlib.suppress(asyncio.CancelledError):
+        response = await litellm_completion_provider.aget_completion(
+            messages, generation_config
+        )
+    assert len(response.choices) > 0
diff --git a/py/tests/core/providers/logging/conftest.py b/py/tests/core/providers/logging/conftest.py
new file mode 100644
index 000000000..56cecfb80
--- /dev/null
+++ b/py/tests/core/providers/logging/conftest.py
@@ -0,0 +1,16 @@
+import asyncio
+
+import pytest
+
+
+@pytest.fixture(scope="session", autouse=True)
+def event_loop_policy():
+    asyncio.set_event_loop_policy(asyncio.DefaultEventLoopPolicy())
+
+
+@pytest.fixture(scope="function", autouse=True)
+async def cleanup_tasks():
+    yield
+    tasks = [t for t in asyncio.all_tasks() if t is not asyncio.current_task()]
+    [task.cancel() for task in tasks]
+    await asyncio.gather(*tasks, return_exceptions=True)
diff --git a/py/tests/core/providers/logging/test_logging_provider.py b/py/tests/core/providers/logging/test_logging_provider.py
new file mode 100644
index 000000000..170b6ed89
--- /dev/null
+++ b/py/tests/core/providers/logging/test_logging_provider.py
@@ -0,0 +1,148 @@
+import logging
+import os
+import uuid
+from uuid import UUID
+
+import pytest
+
+from core import LocalRunLoggingProvider, LoggingConfig, generate_run_id
+
+logger = logging.getLogger(__name__)
+
+
+@pytest.mark.asyncio
+async def test_logging(local_logging_provider):
+    run_id = generate_run_id()
+    await local_logging_provider.log(run_id, "key", "value")
+    logs = await local_logging_provider.get_logs([run_id])
+    assert len(logs) == 1
+    assert logs[0]["key"] == "key"
+    assert logs[0]["value"] == "value"
+
+
+async def test_multiple_log_entries(local_logging_provider):
+    run_ids = [generate_run_id() for _ in range(3)]
+    entries = [
+        (run_id, f"key_{i}", f"value_{i}") for i, run_id in enumerate(run_ids)
+    ]
+    for run_id, key, value in entries:
+        await local_logging_provider.log(run_id, key, value)
+
+    logs = await local_logging_provider.get_logs(run_ids)
+    assert len(logs) == 3, f"Expected 3 logs, got {len(logs)}"
+
+    for log in logs:
+        run_id = log.get("run_id")
+        assert run_id is not None, f"Log entry is missing 'run_id': {log}"
+
+        if isinstance(run_id, str):
+            run_id = UUID(run_id)
+
+        matching_entries = [entry for entry in entries if entry[0] == run_id]
+        assert (
+            len(matching_entries) == 1
+        ), f"No matching entry found for run_id {run_id}"
+
+        selected_entry = matching_entries[0]
+        assert log["key"] == selected_entry[1]
+        assert log["value"] == selected_entry[2]
+
+    # Additional check to ensure all entries were logged
+    logged_ids = set(
+        (
+            UUID(log["run_id"])
+            if isinstance(log["run_id"], str)
+            else log["run_id"]
+        )
+        for log in logs
+    )
+    entry_ids = set(entry[0] for entry in entries)
+    assert (
+        logged_ids == entry_ids
+    ), f"Mismatch between logged IDs {logged_ids} and entry IDs {entry_ids}"
+
+
+@pytest.mark.asyncio
+async def test_log_retrieval_limit(local_logging_provider):
+    run_ids = []
+    for i in range(10):
+        run_ids.append(generate_run_id())
+        await local_logging_provider.log(run_ids[-1], f"key_{i}", f"value_{i}")
+
+    logs = await local_logging_provider.get_logs(run_ids[:5])
+    assert len(logs) == 5
+
+
+async def test_specific_run_type_retrieval(local_logging_provider):
+    run_id_0, run_id_1 = generate_run_id(), generate_run_id()
+
+    await local_logging_provider.log(run_id_0, "run_type", "RETRIEVAL")
+    await local_logging_provider.log(run_id_0, "key_0", "value_0")
+    await local_logging_provider.log(run_id_1, "run_type", "MANAGEMENT")
+    await local_logging_provider.log(run_id_1, "key_1", "value_1")
+
+    # Log info for both run IDs
+    await local_logging_provider.info_log(run_id_0, "RETRIEVAL", uuid.uuid4())
+    await local_logging_provider.info_log(run_id_1, "MANAGEMENT", uuid.uuid4())
+
+    run_info = await local_logging_provider.get_info_logs(
+        run_type_filter="RETRIEVAL"
+    )
+    assert (
+        len(run_info) == 1
+    ), f"Expected 1 'RETRIEVAL' log, got {len(run_info)}"
+    assert (
+        run_info[0].run_id == run_id_0
+    ), f"Expected run_id {run_id_0}, got {run_info[0].run_id}"
+
+    logs = await local_logging_provider.get_logs(
+        [run.run_id for run in run_info]
+    )
+    assert len(logs) == 2, f"Expected 2 logs for run_id_0, got {len(logs)}"
+    assert all(
+        log["run_id"] == run_id_0 for log in logs
+    ), "All logs should be for run_id_0"
+    assert any(
+        log["key"] == "run_type" and log["value"] == "RETRIEVAL"
+        for log in logs
+    ), "Should have a 'RETRIEVAL' log"
+    assert any(
+        log["key"] == "key_0" and log["value"] == "value_0" for log in logs
+    ), "Should have a 'key_0' log"
+
+
+@pytest.mark.asyncio
+async def test_info_logging(local_logging_provider):
+    run_id = generate_run_id()
+    user_id = uuid.uuid4()
+    run_type = "RETRIEVAL"
+    await local_logging_provider.info_log(run_id, run_type, user_id)
+    info_logs = await local_logging_provider.get_info_logs()
+    assert len(info_logs) == 1
+    assert info_logs[0].run_id == run_id
+    assert info_logs[0].run_type == run_type
+    assert info_logs[0].user_id == user_id
+
+
+@pytest.mark.asyncio
+async def test_get_info_logs_with_user_filter(local_logging_provider):
+    user_id_1, user_id_2 = uuid.uuid4(), uuid.uuid4()
+    await local_logging_provider.info_log(
+        generate_run_id(), "RETRIEVAL", user_id_1
+    )
+    await local_logging_provider.info_log(
+        generate_run_id(), "MANAGEMENT", user_id_2
+    )
+
+    info_logs = await local_logging_provider.get_info_logs(
+        user_ids=[user_id_1]
+    )
+    assert len(info_logs) == 1
+    assert info_logs[0].user_id == user_id_1
+
+    info_logs = await local_logging_provider.get_info_logs(
+        run_type_filter="MANAGEMENT", user_ids=[user_id_2]
+    )
+    assert len(info_logs) == 1
+    assert info_logs[0].user_id == user_id_2
+    assert info_logs[0].run_type == "MANAGEMENT"
diff --git a/py/tests/core/providers/parsing/conftest.py b/py/tests/core/providers/parsing/conftest.py
new file mode 100644
index 000000000..0a654bba1
--- /dev/null
+++ b/py/tests/core/providers/parsing/conftest.py
@@ -0,0 +1,16 @@
+import pytest
+
+from core.base import ParsingConfig
+from core.providers.parsing.unstructured_parsing import (
+    UnstructuredParsingProvider,
+)
+
+
+@pytest.fixture
+def parsing_config():
+    return ParsingConfig()
+
+
+@pytest.fixture
+def unstructured_parsing_provider(parsing_config):
+    return UnstructuredParsingProvider(use_api=False, config=parsing_config)
diff --git a/py/tests/core/providers/parsing/test_unstructured_parsing.py b/py/tests/core/providers/parsing/test_unstructured_parsing.py
new file mode 100644
index 000000000..c6dd36d14
--- /dev/null
+++ b/py/tests/core/providers/parsing/test_unstructured_parsing.py
@@ -0,0 +1,73 @@
+from io import BytesIO
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import httpx
+import pytest
+
+from core import generate_id_from_label
+from core.base import Document, DocumentExtraction, DocumentType
+from core.providers.parsing.unstructured_parsing import FallbackElement
+
+
+@pytest.mark.asyncio
+async def test_parse_fallback(unstructured_parsing_provider):
+    document = Document(
+        id=generate_id_from_label("test_parse_fallback"),
+        collection_ids=[],
+        user_id=generate_id_from_label("test_user"),
+        type=DocumentType.PNG,
+        metadata={},
+    )
+    chunk_size = 128
+
+    async def mock_ingest(file_content, chunk_size):
+        for text in ["text1", "text2"]:
+            yield text
+
+    mock_parser = AsyncMock()
+    mock_parser.ingest = mock_ingest
+    unstructured_parsing_provider.parsers[DocumentType.PNG] = mock_parser
+
+    elements = [
+        element
+        async for element in unstructured_parsing_provider.parse_fallback(
+            b"test_data", document, chunk_size
+        )
+    ]
+
+    assert len(elements) == 2
+    assert isinstance(elements[0], FallbackElement)
+    assert elements[0].text == "text1"
+    assert elements[0].metadata == {"chunk_id": 0}
+    assert isinstance(elements[1], FallbackElement)
+    assert elements[1].text == "text2"
+    assert elements[1].metadata == {"chunk_id": 1}
+
+
+@pytest.mark.asyncio
+async def test_parse_with_local_unstructured(unstructured_parsing_provider):
+    document = Document(
+        id=generate_id_from_label("test_parse_with_local_unstructured"),
+        collection_ids=[],
+        user_id=generate_id_from_label("test_user"),
+        type=DocumentType.DOCX,
+        metadata={"title": "test_title"},
+    )
+
+    async def mock_post(url, json, **kwargs):
+        return MagicMock(
+            json=MagicMock(return_value={"elements": [{"text": "test_text"}]})
+        )
+
+    with patch.object(httpx.AsyncClient, "post", side_effect=mock_post):
+        extractions = [
+            extraction
+            async for extraction in unstructured_parsing_provider.parse(
+                BytesIO(b"test_data"), document
+            )
+        ]
+
+    assert len(extractions) == 1
+    assert isinstance(extractions[0], DocumentExtraction)
+    assert extractions[0].data == "test_text"
+    assert extractions[0].metadata["partitioned_by_unstructured"] is True
diff --git a/py/tests/main/api/__init__.py b/py/tests/main/api/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/py/tests/main/app/__init__.py b/py/tests/main/app/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/py/tests/main/assembly/__init__.py b/py/tests/main/assembly/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/py/tests/main/sdk/__init__.py b/py/tests/main/sdk/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/py/tests/main/services/__init__.py b/py/tests/main/services/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/py/tests/regression/__init__.py b/py/tests/regression/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/py/tests/regression/expected_outputs/test_document_management.json b/py/tests/regression/expected_outputs/test_document_management.json
index 74175a24f..7114b58d2 100644
--- a/py/tests/regression/expected_outputs/test_document_management.json
+++ b/py/tests/regression/expected_outputs/test_document_management.json
@@ -1,1183 +1,1026 @@
 {
   "ingest_sample_files": {
-    "results": {
-      "processed_documents": [
-        {
-          "id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-          "group_ids": [],
-          "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-          "type": "html",
-          "metadata": {},
-          "title": "pg_essay_1.html",
-          "version": "v0",
-          "size_in_bytes": 131503,
-          "status": "success",
-          "created_at": "2024-08-13T17:43:28.344768",
-          "updated_at": "2024-08-13T17:43:28.344768"
-        },
-        {
-          "id": "716fea3a-826b-5b27-8e59-ffbd1a35455a",
-          "group_ids": [],
-          "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-          "type": "txt",
-          "metadata": {},
-          "title": "got.txt",
-          "version": "v0",
-          "size_in_bytes": 9491,
-          "status": "success",
-          "created_at": "2024-08-13T17:43:28.344841",
-          "updated_at": "2024-08-13T17:43:28.344841"
-        },
-        {
-          "id": "52e12576-090f-59db-91f4-6d4b2e29ae6c",
-          "group_ids": [],
-          "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-          "type": "mp3",
-          "metadata": {},
-          "title": "sample.mp3",
-          "version": "v0",
-          "size_in_bytes": 121671,
-          "status": "success",
-          "created_at": "2024-08-13T17:43:28.344851",
-          "updated_at": "2024-08-13T17:43:28.344851"
-        },
-        {
-          "id": "3e157b3a-8469-51db-90d9-52e7d896b49b",
-          "group_ids": [],
-          "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-          "type": "pdf",
-          "metadata": {},
-          "title": "uber_2021.pdf",
-          "version": "v0",
-          "size_in_bytes": 1880483,
-          "status": "success",
-          "created_at": "2024-08-13T17:43:28.344856",
-          "updated_at": "2024-08-13T17:43:28.344856"
-        },
-        {
-          "id": "01d514a4-5cb1-5c86-be8c-0c5c312a02c9",
-          "group_ids": [],
-          "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-          "type": "mp3",
-          "metadata": {},
-          "title": "sample2.mp3",
-          "version": "v0",
-          "size_in_bytes": 72456,
-          "status": "success",
-          "created_at": "2024-08-13T17:43:28.344867",
-          "updated_at": "2024-08-13T17:43:28.344867"
-        },
-        {
-          "id": "c3291abf-8a4e-5d9d-80fd-232ef6fd8526",
-          "group_ids": [],
-          "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-          "type": "txt",
-          "metadata": {},
-          "title": "aristotle_v2.txt",
-          "version": "v0",
-          "size_in_bytes": 7443,
-          "status": "success",
-          "created_at": "2024-08-13T17:43:28.344871",
-          "updated_at": "2024-08-13T17:43:28.344871"
-        },
-        {
-          "id": "e797da22-8c5d-54e5-bed5-a55954cf6bf9",
-          "group_ids": [],
-          "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-          "type": "html",
-          "metadata": {},
-          "title": "pg_essay_4.html",
-          "version": "v0",
-          "size_in_bytes": 118113,
-          "status": "success",
-          "created_at": "2024-08-13T17:43:28.344874",
-          "updated_at": "2024-08-13T17:43:28.344874"
-        },
-        {
-          "id": "7c1105fc-8f62-5a8f-ac81-fe88f3ec9e4c",
-          "group_ids": [],
-          "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-          "type": "html",
-          "metadata": {},
-          "title": "pg_essay_5.html",
-          "version": "v0",
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-          "status": "success",
-          "created_at": "2024-08-13T17:43:28.344879",
-          "updated_at": "2024-08-13T17:43:28.344879"
-        },
-        {
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-          "group_ids": [],
-          "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-          "type": "pdf",
-          "metadata": {},
-          "title": "lyft_2021.pdf",
-          "version": "v0",
-          "size_in_bytes": 1440303,
-          "status": "success",
-          "created_at": "2024-08-13T17:43:28.344884",
-          "updated_at": "2024-08-13T17:43:28.344884"
-        },
-        {
-          "id": "30f950f0-c692-57c5-b6ec-ff78ccf5ccdc",
-          "group_ids": [],
-          "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-          "type": "txt",
-          "metadata": {},
-          "title": "test.txt",
-          "version": "v0",
-          "size_in_bytes": 20,
-          "status": "success",
-          "created_at": "2024-08-13T17:43:28.344889",
-          "updated_at": "2024-08-13T17:43:28.344889"
-        },
-        {
-          "id": "57eec3df-cf68-5559-a80d-ae3fb55b9af1",
-          "group_ids": [],
-          "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-          "type": "html",
-          "metadata": {},
-          "title": "pg_essay_2.html",
-          "version": "v0",
-          "size_in_bytes": 125112,
-          "status": "success",
-          "created_at": "2024-08-13T17:43:28.344893",
-          "updated_at": "2024-08-13T17:43:28.344893"
-        },
-        {
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-          "group_ids": [],
-          "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-          "type": "txt",
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-          "group_ids": [],
-          "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-          "type": "txt",
-          "metadata": {},
-          "title": "yc_companies.txt",
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-          "status": "success",
-          "created_at": "2024-08-13T17:43:28.344901",
-          "updated_at": "2024-08-13T17:43:28.344901"
-        },
-        {
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-          "group_ids": [],
-          "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-          "type": "png",
-          "metadata": {},
-          "title": "screen_shot.png",
-          "version": "v0",
-          "size_in_bytes": 791764,
-          "status": "success",
-          "created_at": "2024-08-13T17:43:28.344905",
-          "updated_at": "2024-08-13T17:43:28.344905"
-        },
-        {
-          "id": "5b1bd54f-4d70-56b9-a017-a618bc75f94c",
-          "group_ids": [],
-          "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-          "type": "html",
-          "metadata": {},
-          "title": "pg_essay_3.html",
-          "version": "v0",
-          "size_in_bytes": 124915,
-          "status": "success",
-          "created_at": "2024-08-13T17:43:28.344908",
-          "updated_at": "2024-08-13T17:43:28.344908"
-        }
-      ],
-      "failed_documents": [],
-      "skipped_documents": []
-    }
+    "results": [
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "77ba1665-2646-457c-a892-da3c791f5e88",
+        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa"
+      },
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "ae150ce4-1f91-4fa6-affb-7dd8ab1ad063",
+        "document_id": "716fea3a-826b-5b27-8e59-ffbd1a35455a"
+      },
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "1d733a99-2c79-4d3e-bb0c-a0d49b26dc37",
+        "document_id": "52e12576-090f-59db-91f4-6d4b2e29ae6c"
+      },
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "c7d0b32c-00d9-4f0c-9f0d-240f86056665",
+        "document_id": "3e157b3a-8469-51db-90d9-52e7d896b49b"
+      },
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "da16c185-57bf-4f30-bc8a-598e127824a1",
+        "document_id": "01d514a4-5cb1-5c86-be8c-0c5c312a02c9"
+      },
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "460abc23-60de-4d11-8f10-81079d7d4990",
+        "document_id": "c3291abf-8a4e-5d9d-80fd-232ef6fd8526"
+      },
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "aa01d8e2-c866-4e60-8190-3c7894afc263",
+        "document_id": "e797da22-8c5d-54e5-bed5-a55954cf6bf9"
+      },
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "6da2d33b-7b00-4cd3-9ede-9748ca5fd936",
+        "document_id": "7b0f40c5-2ace-5781-ae35-ead99ddee8c5"
+      },
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "b16a158c-85da-4290-92ae-6f0a4881c279",
+        "document_id": "7c1105fc-8f62-5a8f-ac81-fe88f3ec9e4c"
+      },
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "fcdb9219-9d4f-4de2-aeb0-4fc688ffb7b4",
+        "document_id": "2f576170-c4f9-5141-a910-a0924f341de4"
+      },
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "082de59f-0252-4f2e-b038-90253b8066f5",
+        "document_id": "30f950f0-c692-57c5-b6ec-ff78ccf5ccdc"
+      },
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "8864c244-3372-4196-80c2-0d9dd667c3fd",
+        "document_id": "57eec3df-cf68-5559-a80d-ae3fb55b9af1"
+      },
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "2fe08ebb-7157-452c-811c-7ede2b05e750",
+        "document_id": "db02076e-989a-59cd-98d5-e24e15a0bd27"
+      },
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "78ea4936-8bf6-4539-9db3-68f0e5b5bbe5",
+        "document_id": "d421207a-d799-5806-8d67-46b2005b15d4"
+      },
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "ad23dd8d-f0c1-4641-a6a2-e909ede1b3d1",
+        "document_id": "451adbbd-e24e-5c9b-80a8-f424b6c7accb"
+      },
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "c100a64b-c975-4a5e-bde4-7f1a0718b851",
+        "document_id": "5b1bd54f-4d70-56b9-a017-a618bc75f94c"
+      }
+    ]
   },
   "reingest_sample_file": {
-    "results": "All provided documents already exist. Use the `update_files` endpoint instead to update these documents."
-  },
-  "documents_overview": {
     "results": [
       {
-        "id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "group_ids": [],
-        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-        "type": "html",
-        "metadata": {},
-        "title": "pg_essay_1.html",
-        "version": "v0",
-        "size_in_bytes": 131503,
-        "status": "success",
-        "created_at": "2024-08-13T17:43:28.344768Z",
-        "updated_at": "2024-08-13T17:43:28.344768Z"
+        "message": "Ingestion task queued successfully.",
+        "task_id": "d0c84b68-407c-4329-b7ce-fb32df9f196b",
+        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa"
       },
       {
-        "id": "716fea3a-826b-5b27-8e59-ffbd1a35455a",
-        "group_ids": [],
-        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-        "type": "txt",
-        "metadata": {},
-        "title": "got.txt",
-        "version": "v0",
-        "size_in_bytes": 9491,
-        "status": "success",
-        "created_at": "2024-08-13T17:43:28.344841Z",
-        "updated_at": "2024-08-13T17:43:28.344841Z"
+        "message": "Ingestion task queued successfully.",
+        "task_id": "8134708a-ac7e-436c-977a-4ba1434aeb94",
+        "document_id": "716fea3a-826b-5b27-8e59-ffbd1a35455a"
       },
       {
-        "id": "52e12576-090f-59db-91f4-6d4b2e29ae6c",
-        "group_ids": [],
-        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-        "type": "mp3",
-        "metadata": {},
-        "title": "sample.mp3",
-        "version": "v0",
-        "size_in_bytes": 121671,
-        "status": "success",
-        "created_at": "2024-08-13T17:43:28.344851Z",
-        "updated_at": "2024-08-13T17:43:28.344851Z"
+        "message": "Ingestion task queued successfully.",
+        "task_id": "fcf12fcf-092c-43c6-85fa-3c02b62231a1",
+        "document_id": "52e12576-090f-59db-91f4-6d4b2e29ae6c"
       },
       {
-        "id": "3e157b3a-8469-51db-90d9-52e7d896b49b",
-        "group_ids": [],
-        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-        "type": "pdf",
-        "metadata": {},
-        "title": "uber_2021.pdf",
-        "version": "v0",
-        "size_in_bytes": 1880483,
-        "status": "success",
-        "created_at": "2024-08-13T17:43:28.344856Z",
-        "updated_at": "2024-08-13T17:43:28.344856Z"
+        "message": "Ingestion task queued successfully.",
+        "task_id": "ab4f1bc7-7d62-47ee-9e21-6b4fab7ccfb7",
+        "document_id": "3e157b3a-8469-51db-90d9-52e7d896b49b"
       },
       {
-        "id": "01d514a4-5cb1-5c86-be8c-0c5c312a02c9",
-        "group_ids": [],
-        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-        "type": "mp3",
-        "metadata": {},
-        "title": "sample2.mp3",
-        "version": "v0",
-        "size_in_bytes": 72456,
-        "status": "success",
-        "created_at": "2024-08-13T17:43:28.344867Z",
-        "updated_at": "2024-08-13T17:43:28.344867Z"
+        "message": "Ingestion task queued successfully.",
+        "task_id": "ef38bf7b-5688-4bb4-b861-6e06dd4603dc",
+        "document_id": "01d514a4-5cb1-5c86-be8c-0c5c312a02c9"
       },
       {
-        "id": "c3291abf-8a4e-5d9d-80fd-232ef6fd8526",
-        "group_ids": [],
-        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-        "type": "txt",
-        "metadata": {},
-        "title": "aristotle_v2.txt",
-        "version": "v0",
-        "size_in_bytes": 7443,
-        "status": "success",
-        "created_at": "2024-08-13T17:43:28.344871Z",
-        "updated_at": "2024-08-13T17:43:28.344871Z"
+        "message": "Ingestion task queued successfully.",
+        "task_id": "8bb837ed-d586-4d8b-8f80-e69e6d848dba",
+        "document_id": "c3291abf-8a4e-5d9d-80fd-232ef6fd8526"
       },
       {
-        "id": "e797da22-8c5d-54e5-bed5-a55954cf6bf9",
-        "group_ids": [],
-        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-        "type": "html",
-        "metadata": {},
-        "title": "pg_essay_4.html",
-        "version": "v0",
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-        "text": "pointing out the route, we conceal it, by implicitly treating the\nstuff kids do as different from real work.\n[1]Instead of telling kids that their treehouses could be on the path\nto the work they do as adults, we tell them the path goes through\nschool. And unfortunately schoolwork tends to be very different from\nworking on projects of one's own. It's usually neither a project,\nnor one's own. So as school gets more serious, working on projects",
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-        "text": "techniques for preserving that excitement.\n[4]The team that made the original Macintosh were a great example of\nthis phenomenon. People like Burrell Smith and Andy Hertzfeld and\nBill Atkinson and Susan Kare were not just following orders. They\nwere not tennis balls hit by Steve Jobs, but rockets let loose by\nSteve Jobs. There was a lot of collaboration between them, but\nthey all seem to have individually felt the excitement of",
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-        "text": "the projects. And not because I'm an indulgent parent, but because\nI've been on the other end and I know which has more predictive\nvalue. When I was picking startups for Y Combinator, I didn't care\nabout applicants' grades. But if they'd worked on projects of their\nown, I wanted to hear all about those.\n[2]It may be inevitable that school is the way it is. I'm not saying\nwe have to redesign it (though I'm not saying we don't), just that\nwe should understand what it does to our attitudes to work \u2014 that",
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-        "text": "it steers us toward the dutiful plodding kind of work, often using\ncompetition as bait, and away from skating.There are occasionally times when schoolwork becomes a project of\none's own. Whenever I had to write a paper, that would become a\nproject of my own \u2014 except in English classes, ironically, because\nthe things one has to write in English classes are so\nbogus. And\nwhen I got to college and started taking CS classes, the programs\nI had to write became projects of my own. Whenever I was writing",
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-        "text": "or programming, I was usually skating, and that has been true ever\nsince.So where exactly is the edge of projects of one's own? That's an\ninteresting question, partly because the answer is so complicated,\nand partly because there's so much at stake. There turn out to be\ntwo senses in which work can be one's own: 1) that you're doing it\nvoluntarily, rather than merely because someone told you to, and\n2) that you're doing it by yourself.The edge of the former is quite sharp. People who care a lot about",
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-        "text": "their work are usually very sensitive to the difference between\npulling, and being pushed, and work tends to fall into one category\nor the other. But the test isn't simply whether you're told to do\nsomething. You can choose to do something you're told to do. Indeed,\nyou can own it far more thoroughly than the person who told you to\ndo it.For example, math homework is for most people something they're\ntold to do. But for my father, who was a mathematician, it wasn't.",
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-        "text": "Most of us think of the problems in a math book as a way to test\nor develop our knowledge of the material explained in each section.\nBut to my father the problems were the part that mattered, and the\ntext was merely a sort of annotation. Whenever he got a new math\nbook it was to him like being given a puzzle: here was a new set\nof problems to solve, and he'd immediately set about solving all\nof them.The other sense of a project being one's own \u2014 working on it by",
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-          "text": "Most of us think of the problems in a math book as a way to test\nor develop our knowledge of the material explained in each section.\nBut to my father the problems were the part that mattered, and the\ntext was merely a sort of annotation. Whenever he got a new math\nbook it was to him like being given a puzzle: here was a new set\nof problems to solve, and he'd immediately set about solving all\nof them.The other sense of a project being one's own \u2014 working on it by",
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-        "text": "oneself \u2014 has a much softer edge. It shades gradually into\ncollaboration. And interestingly, it shades into collaboration in\ntwo different ways. One way to collaborate is to share a single\nproject. For example, when two mathematicians collaborate on a proof\nthat takes shape in the course of a conversation between them. The\nother way is when multiple people work on separate projects of their\nown that fit together like a jigsaw puzzle. For example, when one",
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-          "text": "oneself \u2014 has a much softer edge. It shades gradually into\ncollaboration. And interestingly, it shades into collaboration in\ntwo different ways. One way to collaborate is to share a single\nproject. For example, when two mathematicians collaborate on a proof\nthat takes shape in the course of a conversation between them. The\nother way is when multiple people work on separate projects of their\nown that fit together like a jigsaw puzzle. For example, when one",
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-        "text": "person writes the text of a book and another does the graphic design.\n[3]These two paths into collaboration can of course be combined. But\nunder the right conditions, the excitement of working on a project\nof one's own can be preserved for quite a while before disintegrating\ninto the turbulent flow of work in a large organization. Indeed,\nthe history of successful organizations is partly the history of\ntechniques for preserving that excitement.",
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-          "text": "person writes the text of a book and another does the graphic design.\n[3]These two paths into collaboration can of course be combined. But\nunder the right conditions, the excitement of working on a project\nof one's own can be preserved for quite a while before disintegrating\ninto the turbulent flow of work in a large organization. Indeed,\nthe history of successful organizations is partly the history of\ntechniques for preserving that excitement.",
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-        "text": "working on a project of one's own.In Andy Hertzfeld's book on the Macintosh, he describes how they'd\ncome back into the office after dinner and work late into the night.\nPeople who've never experienced the thrill of working on a project\nthey're excited about can't distinguish this kind of working long\nhours from the kind that happens in sweatshops and boiler rooms,\nbut they're at opposite ends of the spectrum. That's why it's a\nmistake to insist dogmatically on \"work/life balance.\" Indeed, the",
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+        "text": "June 2021 A few days ago, on the way home from school, my nine year old son",
         "metadata": {
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-        "text": "mere expression \"work/life\" embodies a mistake: it assumes work and\nlife are distinct. For those to whom the word \"work\" automatically\nimplies the dutiful plodding kind, they are. But for the skaters,\nthe relationship between work and life would be better represented\nby a dash than a slash. I wouldn't want to work on anything that I didn't\nwant to take over my life.Of course, it's easier to achieve this level of motivation when\nyou're making something like the Macintosh. It's easy for something",
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         "metadata": {
-          "text": "mere expression \"work/life\" embodies a mistake: it assumes work and\nlife are distinct. For those to whom the word \"work\" automatically\nimplies the dutiful plodding kind, they are. But for the skaters,\nthe relationship between work and life would be better represented\nby a dash than a slash. I wouldn't want to work on anything that I didn't\nwant to take over my life.Of course, it's easier to achieve this level of motivation when\nyou're making something like the Macintosh. It's easy for something",
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-        "text": "new to feel like a project of your own. That's one of the reasons\nfor the tendency programmers have to rewrite things that don't need\nrewriting, and to write their own versions of things that already\nexist. This sometimes alarms managers, and measured by total number\nof characters typed, it's rarely the optimal solution. But it's not\nalways driven simply by arrogance or cluelessness.\nWriting code from scratch is also much more rewarding \u2014 so much",
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         "metadata": {
-          "text": "new to feel like a project of your own. That's one of the reasons\nfor the tendency programmers have to rewrite things that don't need\nrewriting, and to write their own versions of things that already\nexist. This sometimes alarms managers, and measured by total number\nof characters typed, it's rarely the optimal solution. But it's not\nalways driven simply by arrogance or cluelessness.\nWriting code from scratch is also much more rewarding \u2014 so much",
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-        "text": "more rewarding that a good programmer can end up net ahead, despite\nthe shocking waste of characters. Indeed, it may be one of the\nadvantages of capitalism that it encourages such rewriting. A company\nthat needs software to do something can't use the software already\nwritten to do it at another company, and thus has to write their\nown, which often turns out better.\n[5]The natural alignment between skating and solving new problems is\none of the reasons the payoffs from startups are so high. Not only",
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         "metadata": {
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-        "text": "is the market price of unsolved problems higher, you also get a\ndiscount on productivity when you work on them. In fact, you get a\ndouble increase in productivity: when you're doing a clean-sheet\ndesign, it's easier to recruit skaters, and they get to spend all\ntheir time skating.Steve Jobs knew a thing or two about skaters from having watched\nSteve Wozniak. If you can find the right people, you only have to\ntell them what to do at the highest level. They'll handle the",
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         "metadata": {
-          "text": "is the market price of unsolved problems higher, you also get a\ndiscount on productivity when you work on them. In fact, you get a\ndouble increase in productivity: when you're doing a clean-sheet\ndesign, it's easier to recruit skaters, and they get to spend all\ntheir time skating.Steve Jobs knew a thing or two about skaters from having watched\nSteve Wozniak. If you can find the right people, you only have to\ntell them what to do at the highest level. They'll handle the",
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-        "text": "details. Indeed, they insist on it. For a project to feel like your\nown, you must have sufficient autonomy. You can't be working to\norder, or slowed down\nby bureaucracy.One way to ensure autonomy is not to have a boss at all. There are\ntwo ways to do that: to be the boss yourself, and to work on projects\noutside of work. Though they're at opposite ends of the scale\nfinancially, startups and open source projects have a lot in common,\nincluding the fact that they're often run by skaters. And indeed,",
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-          "text": "details. Indeed, they insist on it. For a project to feel like your\nown, you must have sufficient autonomy. You can't be working to\norder, or slowed down\nby bureaucracy.One way to ensure autonomy is not to have a boss at all. There are\ntwo ways to do that: to be the boss yourself, and to work on projects\noutside of work. Though they're at opposite ends of the scale\nfinancially, startups and open source projects have a lot in common,\nincluding the fact that they're often run by skaters. And indeed,",
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-        "text": "there's a wormhole from one end of the scale to the other: one of\nthe best ways to discover\nstartup ideas is to work on a project\njust for fun.If your projects are the kind that make money, it's easy to work\non them. It's harder when they're not. And the hardest part, usually,\nis morale. That's where adults have it harder than kids. Kids just\nplunge in and build their treehouse without worrying about whether\nthey're wasting their time, or how it compares to other treehouses.",
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-          "text": "there's a wormhole from one end of the scale to the other: one of\nthe best ways to discover\nstartup ideas is to work on a project\njust for fun.If your projects are the kind that make money, it's easy to work\non them. It's harder when they're not. And the hardest part, usually,\nis morale. That's where adults have it harder than kids. Kids just\nplunge in and build their treehouse without worrying about whether\nthey're wasting their time, or how it compares to other treehouses.",
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-        "text": "And frankly we could learn a lot from kids here. The high standards\nmost grownups have for \"real\" work do not always serve us well.The most important phase in a project of one's own is at the\nbeginning: when you go from thinking it might be cool to do x to\nactually doing x. And at that point high standards are not merely\nuseless but positively harmful. There are a few people who start\ntoo many new projects, but far more, I suspect, who are deterred",
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-          "text": "And frankly we could learn a lot from kids here. The high standards\nmost grownups have for \"real\" work do not always serve us well.The most important phase in a project of one's own is at the\nbeginning: when you go from thinking it might be cool to do x to\nactually doing x. And at that point high standards are not merely\nuseless but positively harmful. There are a few people who start\ntoo many new projects, but far more, I suspect, who are deterred",
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-        "text": "by fear of failure from starting projects that would have succeeded\nif they had.But if we couldn't benefit as kids from the knowledge that our\ntreehouses were on the path to grownup projects, we can at least\nbenefit as grownups from knowing that our projects are on a path\nthat stretches back to treehouses. Remember that careless confidence\nyou had as a kid when starting something new? That would be a\npowerful thing to recapture.If it's harder as adults to retain that kind of confidence, we at",
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         "metadata": {
-          "text": "by fear of failure from starting projects that would have succeeded\nif they had.But if we couldn't benefit as kids from the knowledge that our\ntreehouses were on the path to grownup projects, we can at least\nbenefit as grownups from knowing that our projects are on a path\nthat stretches back to treehouses. Remember that careless confidence\nyou had as a kid when starting something new? That would be a\npowerful thing to recapture.If it's harder as adults to retain that kind of confidence, we at",
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-        "text": "least tend to be more aware of what we're doing. Kids bounce, or\nare herded, from one kind of work to the next, barely realizing\nwhat's happening to them. Whereas we know more about different types\nof work and have more control over which we do. Ideally we can have\nthe best of both worlds: to be deliberate in choosing to work on\nprojects of our own, and carelessly confident in starting new ones.\nNotes[1]\n\"Hobby\" is a curious word. Now it means work that isn't real",
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         "metadata": {
-          "text": "least tend to be more aware of what we're doing. Kids bounce, or\nare herded, from one kind of work to the next, barely realizing\nwhat's happening to them. Whereas we know more about different types\nof work and have more control over which we do. Ideally we can have\nthe best of both worlds: to be deliberate in choosing to work on\nprojects of our own, and carelessly confident in starting new ones.\nNotes[1]\n\"Hobby\" is a curious word. Now it means work that isn't real",
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-        "text": "work \u2014 work that one is not to be judged by \u2014 but originally it just\nmeant an obsession in a fairly general sense (even a political\nopinion, for example) that one metaphorically rode as a child rides\na hobby-horse. It's hard to say if its recent, narrower meaning is\na change for the better or the worse. For sure there are lots of\nfalse positives \u2014 lots of projects that end up being important but\nare dismissed initially as mere hobbies. But on the other hand, the",
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-          "text": "work \u2014 work that one is not to be judged by \u2014 but originally it just\nmeant an obsession in a fairly general sense (even a political\nopinion, for example) that one metaphorically rode as a child rides\na hobby-horse. It's hard to say if its recent, narrower meaning is\na change for the better or the worse. For sure there are lots of\nfalse positives \u2014 lots of projects that end up being important but\nare dismissed initially as mere hobbies. But on the other hand, the",
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-        "text": "concept provides valuable cover for projects in the early, ugly\nduckling phase.[2]\nTiger parents, as parents so often do, are fighting the last\nwar. Grades mattered more in the old days when the route to success\nwas to acquire\ncredentials\nwhile ascending some predefined ladder.\nBut it's just as well that their tactics are focused on grades. How\nawful it would be if they invaded the territory of projects, and\nthereby gave their kids a distaste for this kind of work by forcing",
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         "metadata": {
-          "text": "concept provides valuable cover for projects in the early, ugly\nduckling phase.[2]\nTiger parents, as parents so often do, are fighting the last\nwar. Grades mattered more in the old days when the route to success\nwas to acquire\ncredentials\nwhile ascending some predefined ladder.\nBut it's just as well that their tactics are focused on grades. How\nawful it would be if they invaded the territory of projects, and\nthereby gave their kids a distaste for this kind of work by forcing",
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-        "text": "them to do it. Grades are already a grim, fake world, and aren't\nharmed much by parental interference, but working on one's own\nprojects is a more delicate, private thing that could be damaged\nvery easily.[3]\nThe complicated, gradual edge between working on one's own\nprojects and collaborating with others is one reason there is so\nmuch disagreement about the idea of the \"lone genius.\" In practice\npeople collaborate (or not) in all kinds of different ways, but the",
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-          "text": "them to do it. Grades are already a grim, fake world, and aren't\nharmed much by parental interference, but working on one's own\nprojects is a more delicate, private thing that could be damaged\nvery easily.[3]\nThe complicated, gradual edge between working on one's own\nprojects and collaborating with others is one reason there is so\nmuch disagreement about the idea of the \"lone genius.\" In practice\npeople collaborate (or not) in all kinds of different ways, but the",
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-        "text": "idea of the lone genius is definitely not a myth. There's a core\nof truth to it that goes with a certain way of working.[4]\nCollaboration is powerful too. The optimal organization would\ncombine collaboration and ownership in such a way as to do the least\ndamage to each. Interestingly, companies and university departments\napproach this ideal from opposite directions: companies insist on\ncollaboration, and occasionally also manage both to recruit skaters",
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-          "text": "idea of the lone genius is definitely not a myth. There's a core\nof truth to it that goes with a certain way of working.[4]\nCollaboration is powerful too. The optimal organization would\ncombine collaboration and ownership in such a way as to do the least\ndamage to each. Interestingly, companies and university departments\napproach this ideal from opposite directions: companies insist on\ncollaboration, and occasionally also manage both to recruit skaters",
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-        "text": "and allow them to skate, and university departments insist on the\nability to do independent research (which is by custom treated as\nskating, whether it is or not), and the people they hire collaborate\nas much as they choose.[5]\nIf a company could design its software in such a way that the\nbest newly arrived programmers always got a clean sheet, it could\nhave a kind of eternal youth. That might not be impossible. If you\nhad a software backbone defining a game with sufficiently clear",
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         "metadata": {
-          "text": "and allow them to skate, and university departments insist on the\nability to do independent research (which is by custom treated as\nskating, whether it is or not), and the people they hire collaborate\nas much as they choose.[5]\nIf a company could design its software in such a way that the\nbest newly arrived programmers always got a clean sheet, it could\nhave a kind of eternal youth. That might not be impossible. If you\nhad a software backbone defining a game with sufficiently clear",
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-        "text": "rules, individual programmers could write their own players.\nThanks to Trevor Blackwell, Paul Buchheit, Andy Hertzfeld, Jessica\nLivingston, and Peter Norvig for reading drafts of this.",
+        "type": "html",
         "metadata": {
-          "text": "rules, individual programmers could write their own players.\nThanks to Trevor Blackwell, Paul Buchheit, Andy Hertzfeld, Jessica\nLivingston, and Peter Norvig for reading drafts of this.",
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-        "text": "June 2021A few days ago, on the way home from school, my nine year old son\ntold me he couldn't wait to get home to write more of the story he\nwas working on. This made me as happy as anything I've heard him\nsay \u2014 not just because he was excited about his story, but because\nhe'd discovered this way of working. Working on a project of your\nown is as different from ordinary work as skating is from walking."
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-        "text": "It's more fun, but also much more productive.What proportion of great work has been done by people who were\nskating in this sense? If not all of it, certainly a lot.There is something special about working on a project of your own.\nI wouldn't say exactly that you're happier. A better word would be\nexcited, or engaged. You're happy when things are going well, but\noften they aren't. When I'm writing an essay, most of the time I'm\nworried and puzzled: worried that the essay will turn out badly,"
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-        "text": "and puzzled because I'm groping for some idea that I can't see\nclearly enough. Will I be able to pin it down with words? In the\nend I usually can, if I take long enough, but I'm never sure; the\nfirst few attempts often fail.You have moments of happiness when things work out, but they don't\nlast long, because then you're on to the next problem. So why do\nit at all? Because to the kind of people who like working this way,\nnothing else feels as right. You feel as if you're an animal in its"
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-        "text": "natural habitat, doing what you were meant to do \u2014 not always\nhappy, maybe, but awake and alive.Many kids experience the excitement of working on projects of their\nown. The hard part is making this converge with the work you do as\nan adult. And our customs make it harder. We treat \"playing\" and\n\"hobbies\" as qualitatively different from \"work\". It's not clear\nto a kid building a treehouse that there's a direct (though long)\nroute from that to architecture or engineering. And instead of"
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-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "pointing out the route, we conceal it, by implicitly treating the\nstuff kids do as different from real work.\n[1]Instead of telling kids that their treehouses could be on the path\nto the work they do as adults, we tell them the path goes through\nschool. And unfortunately schoolwork tends to be very different from\nworking on projects of one's own. It's usually neither a project,\nnor one's own. So as school gets more serious, working on projects"
-      },
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-        "fragment_id": "001c1335-737c-5585-9ec1-441ee9c49348",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "of one's own is something that survives, if at all, as a thin thread\noff to the side.It's a bit sad to think of all the high school kids turning their\nbacks on building treehouses and sitting in class dutifully learning\nabout Darwin or Newton to pass some exam, when the work that made\nDarwin and Newton famous was actually closer in spirit to building\ntreehouses than studying for exams.If I had to choose between my kids getting good grades and\nworking on ambitious projects of their own, I'd pick"
-      },
-      "c3759b2a-fbec-55db-b850-511d4730de7e": {
-        "fragment_id": "c3759b2a-fbec-55db-b850-511d4730de7e",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "techniques for preserving that excitement.\n[4]The team that made the original Macintosh were a great example of\nthis phenomenon. People like Burrell Smith and Andy Hertzfeld and\nBill Atkinson and Susan Kare were not just following orders. They\nwere not tennis balls hit by Steve Jobs, but rockets let loose by\nSteve Jobs. There was a lot of collaboration between them, but\nthey all seem to have individually felt the excitement of"
-      },
-      "540d1c52-6dae-5fb4-b4ad-3d5bbd938abe": {
-        "fragment_id": "540d1c52-6dae-5fb4-b4ad-3d5bbd938abe",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "the projects. And not because I'm an indulgent parent, but because\nI've been on the other end and I know which has more predictive\nvalue. When I was picking startups for Y Combinator, I didn't care\nabout applicants' grades. But if they'd worked on projects of their\nown, I wanted to hear all about those.\n[2]It may be inevitable that school is the way it is. I'm not saying\nwe have to redesign it (though I'm not saying we don't), just that\nwe should understand what it does to our attitudes to work \u2014 that"
-      },
-      "fee3d54e-dd02-5f46-9edc-ee4f5d7a70d4": {
-        "fragment_id": "fee3d54e-dd02-5f46-9edc-ee4f5d7a70d4",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "it steers us toward the dutiful plodding kind of work, often using\ncompetition as bait, and away from skating.There are occasionally times when schoolwork becomes a project of\none's own. Whenever I had to write a paper, that would become a\nproject of my own \u2014 except in English classes, ironically, because\nthe things one has to write in English classes are so\nbogus. And\nwhen I got to college and started taking CS classes, the programs\nI had to write became projects of my own. Whenever I was writing"
-      },
-      "05f02dc2-53ab-539b-9b4d-899eada47a3c": {
-        "fragment_id": "05f02dc2-53ab-539b-9b4d-899eada47a3c",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "or programming, I was usually skating, and that has been true ever\nsince.So where exactly is the edge of projects of one's own? That's an\ninteresting question, partly because the answer is so complicated,\nand partly because there's so much at stake. There turn out to be\ntwo senses in which work can be one's own: 1) that you're doing it\nvoluntarily, rather than merely because someone told you to, and\n2) that you're doing it by yourself.The edge of the former is quite sharp. People who care a lot about"
-      },
-      "42b9d617-6d85-5ba4-a8a6-bb3489faf930": {
-        "fragment_id": "42b9d617-6d85-5ba4-a8a6-bb3489faf930",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "their work are usually very sensitive to the difference between\npulling, and being pushed, and work tends to fall into one category\nor the other. But the test isn't simply whether you're told to do\nsomething. You can choose to do something you're told to do. Indeed,\nyou can own it far more thoroughly than the person who told you to\ndo it.For example, math homework is for most people something they're\ntold to do. But for my father, who was a mathematician, it wasn't."
-      },
-      "d9876b6c-42ab-5852-a98f-15032c7687c7": {
-        "fragment_id": "d9876b6c-42ab-5852-a98f-15032c7687c7",
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-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "Most of us think of the problems in a math book as a way to test\nor develop our knowledge of the material explained in each section.\nBut to my father the problems were the part that mattered, and the\ntext was merely a sort of annotation. Whenever he got a new math\nbook it was to him like being given a puzzle: here was a new set\nof problems to solve, and he'd immediately set about solving all\nof them.The other sense of a project being one's own \u2014 working on it by"
-      },
-      "bec313c9-3fe3-5197-8792-078069a484e2": {
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-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "oneself \u2014 has a much softer edge. It shades gradually into\ncollaboration. And interestingly, it shades into collaboration in\ntwo different ways. One way to collaborate is to share a single\nproject. For example, when two mathematicians collaborate on a proof\nthat takes shape in the course of a conversation between them. The\nother way is when multiple people work on separate projects of their\nown that fit together like a jigsaw puzzle. For example, when one"
-      },
-      "8626ebe9-8132-5222-ba90-eef6a380ea65": {
-        "fragment_id": "8626ebe9-8132-5222-ba90-eef6a380ea65",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "person writes the text of a book and another does the graphic design.\n[3]These two paths into collaboration can of course be combined. But\nunder the right conditions, the excitement of working on a project\nof one's own can be preserved for quite a while before disintegrating\ninto the turbulent flow of work in a large organization. Indeed,\nthe history of successful organizations is partly the history of\ntechniques for preserving that excitement."
-      },
-      "759018be-fcfc-5e53-bc2e-ce2e6e677d61": {
-        "fragment_id": "759018be-fcfc-5e53-bc2e-ce2e6e677d61",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "working on a project of one's own.In Andy Hertzfeld's book on the Macintosh, he describes how they'd\ncome back into the office after dinner and work late into the night.\nPeople who've never experienced the thrill of working on a project\nthey're excited about can't distinguish this kind of working long\nhours from the kind that happens in sweatshops and boiler rooms,\nbut they're at opposite ends of the spectrum. That's why it's a\nmistake to insist dogmatically on \"work/life balance.\" Indeed, the"
-      },
-      "4f01bc15-500e-586f-97f0-a89b36248ea2": {
-        "fragment_id": "4f01bc15-500e-586f-97f0-a89b36248ea2",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "mere expression \"work/life\" embodies a mistake: it assumes work and\nlife are distinct. For those to whom the word \"work\" automatically\nimplies the dutiful plodding kind, they are. But for the skaters,\nthe relationship between work and life would be better represented\nby a dash than a slash. I wouldn't want to work on anything that I didn't\nwant to take over my life.Of course, it's easier to achieve this level of motivation when\nyou're making something like the Macintosh. It's easy for something"
-      },
-      "31e60d4e-e223-53ae-aa46-f30821fd7a92": {
-        "fragment_id": "31e60d4e-e223-53ae-aa46-f30821fd7a92",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "new to feel like a project of your own. That's one of the reasons\nfor the tendency programmers have to rewrite things that don't need\nrewriting, and to write their own versions of things that already\nexist. This sometimes alarms managers, and measured by total number\nof characters typed, it's rarely the optimal solution. But it's not\nalways driven simply by arrogance or cluelessness.\nWriting code from scratch is also much more rewarding \u2014 so much"
-      },
-      "194d9ee6-13f4-527a-ba02-595131ace02a": {
-        "fragment_id": "194d9ee6-13f4-527a-ba02-595131ace02a",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "more rewarding that a good programmer can end up net ahead, despite\nthe shocking waste of characters. Indeed, it may be one of the\nadvantages of capitalism that it encourages such rewriting. A company\nthat needs software to do something can't use the software already\nwritten to do it at another company, and thus has to write their\nown, which often turns out better.\n[5]The natural alignment between skating and solving new problems is\none of the reasons the payoffs from startups are so high. Not only"
-      },
-      "d3fee2f7-a7bd-523e-957e-427712013146": {
-        "fragment_id": "d3fee2f7-a7bd-523e-957e-427712013146",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "is the market price of unsolved problems higher, you also get a\ndiscount on productivity when you work on them. In fact, you get a\ndouble increase in productivity: when you're doing a clean-sheet\ndesign, it's easier to recruit skaters, and they get to spend all\ntheir time skating.Steve Jobs knew a thing or two about skaters from having watched\nSteve Wozniak. If you can find the right people, you only have to\ntell them what to do at the highest level. They'll handle the"
-      },
-      "e78bb470-5e0e-5b05-9f76-b60b9e43e90d": {
-        "fragment_id": "e78bb470-5e0e-5b05-9f76-b60b9e43e90d",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "details. Indeed, they insist on it. For a project to feel like your\nown, you must have sufficient autonomy. You can't be working to\norder, or slowed down\nby bureaucracy.One way to ensure autonomy is not to have a boss at all. There are\ntwo ways to do that: to be the boss yourself, and to work on projects\noutside of work. Though they're at opposite ends of the scale\nfinancially, startups and open source projects have a lot in common,\nincluding the fact that they're often run by skaters. And indeed,"
-      },
-      "abed8147-50aa-5c90-8f66-cdbfe02d068f": {
-        "fragment_id": "abed8147-50aa-5c90-8f66-cdbfe02d068f",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "there's a wormhole from one end of the scale to the other: one of\nthe best ways to discover\nstartup ideas is to work on a project\njust for fun.If your projects are the kind that make money, it's easy to work\non them. It's harder when they're not. And the hardest part, usually,\nis morale. That's where adults have it harder than kids. Kids just\nplunge in and build their treehouse without worrying about whether\nthey're wasting their time, or how it compares to other treehouses."
-      },
-      "80fbb24a-999e-593f-93a2-f9c42b46c98b": {
-        "fragment_id": "80fbb24a-999e-593f-93a2-f9c42b46c98b",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "And frankly we could learn a lot from kids here. The high standards\nmost grownups have for \"real\" work do not always serve us well.The most important phase in a project of one's own is at the\nbeginning: when you go from thinking it might be cool to do x to\nactually doing x. And at that point high standards are not merely\nuseless but positively harmful. There are a few people who start\ntoo many new projects, but far more, I suspect, who are deterred"
-      },
-      "5be9b626-b309-5502-941e-250efd5d23be": {
-        "fragment_id": "5be9b626-b309-5502-941e-250efd5d23be",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "by fear of failure from starting projects that would have succeeded\nif they had.But if we couldn't benefit as kids from the knowledge that our\ntreehouses were on the path to grownup projects, we can at least\nbenefit as grownups from knowing that our projects are on a path\nthat stretches back to treehouses. Remember that careless confidence\nyou had as a kid when starting something new? That would be a\npowerful thing to recapture.If it's harder as adults to retain that kind of confidence, we at"
-      },
-      "6139c5ce-049d-5f31-86b5-efd3a2be1e5d": {
-        "fragment_id": "6139c5ce-049d-5f31-86b5-efd3a2be1e5d",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "least tend to be more aware of what we're doing. Kids bounce, or\nare herded, from one kind of work to the next, barely realizing\nwhat's happening to them. Whereas we know more about different types\nof work and have more control over which we do. Ideally we can have\nthe best of both worlds: to be deliberate in choosing to work on\nprojects of our own, and carelessly confident in starting new ones.\nNotes[1]\n\"Hobby\" is a curious word. Now it means work that isn't real"
-      },
-      "d3027d33-3720-5a1e-8563-7249b05ac5c5": {
-        "fragment_id": "d3027d33-3720-5a1e-8563-7249b05ac5c5",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "work \u2014 work that one is not to be judged by \u2014 but originally it just\nmeant an obsession in a fairly general sense (even a political\nopinion, for example) that one metaphorically rode as a child rides\na hobby-horse. It's hard to say if its recent, narrower meaning is\na change for the better or the worse. For sure there are lots of\nfalse positives \u2014 lots of projects that end up being important but\nare dismissed initially as mere hobbies. But on the other hand, the"
-      },
-      "b6587cfc-01dc-5324-af32-08c059b099cd": {
-        "fragment_id": "b6587cfc-01dc-5324-af32-08c059b099cd",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "concept provides valuable cover for projects in the early, ugly\nduckling phase.[2]\nTiger parents, as parents so often do, are fighting the last\nwar. Grades mattered more in the old days when the route to success\nwas to acquire\ncredentials\nwhile ascending some predefined ladder.\nBut it's just as well that their tactics are focused on grades. How\nawful it would be if they invaded the territory of projects, and\nthereby gave their kids a distaste for this kind of work by forcing"
-      },
-      "57b17831-a919-5d01-b7c1-1077285ffd38": {
-        "fragment_id": "57b17831-a919-5d01-b7c1-1077285ffd38",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "them to do it. Grades are already a grim, fake world, and aren't\nharmed much by parental interference, but working on one's own\nprojects is a more delicate, private thing that could be damaged\nvery easily.[3]\nThe complicated, gradual edge between working on one's own\nprojects and collaborating with others is one reason there is so\nmuch disagreement about the idea of the \"lone genius.\" In practice\npeople collaborate (or not) in all kinds of different ways, but the"
-      },
-      "8e943dae-6cbf-543f-9092-16600569621c": {
-        "fragment_id": "8e943dae-6cbf-543f-9092-16600569621c",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "idea of the lone genius is definitely not a myth. There's a core\nof truth to it that goes with a certain way of working.[4]\nCollaboration is powerful too. The optimal organization would\ncombine collaboration and ownership in such a way as to do the least\ndamage to each. Interestingly, companies and university departments\napproach this ideal from opposite directions: companies insist on\ncollaboration, and occasionally also manage both to recruit skaters"
-      },
-      "8ad34f88-fe21-598e-b6d7-1d66224075c3": {
-        "fragment_id": "8ad34f88-fe21-598e-b6d7-1d66224075c3",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "and allow them to skate, and university departments insist on the\nability to do independent research (which is by custom treated as\nskating, whether it is or not), and the people they hire collaborate\nas much as they choose.[5]\nIf a company could design its software in such a way that the\nbest newly arrived programmers always got a clean sheet, it could\nhave a kind of eternal youth. That might not be impossible. If you\nhad a software backbone defining a game with sufficiently clear"
-      },
-      "5127d109-8748-5615-92c1-082bd728df43": {
-        "fragment_id": "5127d109-8748-5615-92c1-082bd728df43",
-        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-        "extraction_id": "36474213-c9fa-5fb7-b99e-c3720743da53",
-        "text": "rules, individual programmers could write their own players.\nThanks to Trevor Blackwell, Paul Buchheit, Andy Hertzfeld, Jessica\nLivingston, and Peter Norvig for reading drafts of this."
-      }
-    }
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-        "type": "mp3",
-        "metadata": {},
-        "title": "sample2.mp3",
+        "type": "txt",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "test.txt",
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-        "size_in_bytes": 72456,
-        "status": "success",
-        "created_at": "2024-08-13T17:43:28.344867Z",
-        "updated_at": "2024-08-13T17:43:28.344867Z"
+        "size_in_bytes": 28,
+        "ingestion_status": "success",
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+        "created_at": "2024-09-20T22:26:26.525053Z",
+        "updated_at": "2024-09-20T22:31:28.806823Z",
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-        "group_ids": [],
+        "id": "db02076e-989a-59cd-98d5-e24e15a0bd27",
+        "collection_ids": [],
         "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
         "type": "txt",
-        "metadata": {},
+        "metadata": {
+          "title": "aristotle_v2.txt",
+          "version": "v1"
+        },
         "title": "aristotle_v2.txt",
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-        "size_in_bytes": 7443,
-        "status": "success",
-        "created_at": "2024-08-13T17:43:28.344871Z",
-        "updated_at": "2024-08-13T17:43:28.344871Z"
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+        "created_at": "2024-09-20T22:26:26.521911Z",
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       {
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+        "id": "57eec3df-cf68-5559-a80d-ae3fb55b9af1",
+        "collection_ids": [],
         "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
         "type": "html",
-        "metadata": {},
-        "title": "pg_essay_4.html",
+        "metadata": {
+          "version": "v0"
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+        "title": "pg_essay_2.html",
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-        "size_in_bytes": 118113,
-        "status": "success",
-        "created_at": "2024-08-13T17:43:28.344874Z",
-        "updated_at": "2024-08-13T17:43:28.344874Z"
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+        "created_at": "2024-09-20T22:26:26.517088Z",
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+        "ingestion_attempt_number": null
+      },
+      {
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+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "pdf",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "lyft_2021.pdf",
+        "version": "v0",
+        "size_in_bytes": 1920404,
+        "ingestion_status": "parsing",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:26:26.513642Z",
+        "updated_at": "2024-09-20T22:31:28.773388Z",
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       {
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         "type": "html",
-        "metadata": {},
+        "metadata": {
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+        },
         "title": "pg_essay_5.html",
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       {
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+        "id": "7b0f40c5-2ace-5781-ae35-ead99ddee8c5",
+        "collection_ids": [],
         "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
         "type": "pdf",
-        "metadata": {},
-        "title": "lyft_2021.pdf",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "graphrag.pdf",
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-        "size_in_bytes": 1440303,
-        "status": "success",
-        "created_at": "2024-08-13T17:43:28.344884Z",
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+        "size_in_bytes": 2287544,
+        "ingestion_status": "success",
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+        "created_at": "2024-09-20T22:26:26.504459Z",
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       {
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+        "id": "e797da22-8c5d-54e5-bed5-a55954cf6bf9",
+        "collection_ids": [],
         "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-        "type": "txt",
-        "metadata": {},
-        "title": "test.txt",
+        "type": "html",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "pg_essay_4.html",
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-        "size_in_bytes": 20,
-        "status": "success",
-        "created_at": "2024-08-13T17:43:28.344889Z",
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+        "ingestion_status": "success",
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+        "created_at": "2024-09-20T22:26:22.528586Z",
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+        "id": "c3291abf-8a4e-5d9d-80fd-232ef6fd8526",
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         "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-        "type": "html",
-        "metadata": {},
-        "title": "pg_essay_2.html",
+        "type": "txt",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "aristotle_v2.txt",
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-        "created_at": "2024-08-13T17:43:28.344893Z",
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         "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
         "type": "txt",
-        "metadata": {},
-        "title": "yc_companies.txt",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "got.txt",
         "version": "v0",
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+        "id": "3e157b3a-8469-51db-90d9-52e7d896b49b",
+        "collection_ids": [],
         "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-        "type": "png",
-        "metadata": {},
-        "title": "screen_shot.png",
+        "type": "pdf",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "uber_2021.pdf",
         "version": "v0",
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+        "size_in_bytes": 2507312,
+        "ingestion_status": "parsing",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:26:22.515504Z",
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+        "id": "01d514a4-5cb1-5c86-be8c-0c5c312a02c9",
+        "collection_ids": [],
         "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-        "type": "html",
-        "metadata": {},
-        "title": "pg_essay_3.html",
+        "type": "mp3",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "sample2.mp3",
         "version": "v0",
-        "size_in_bytes": 124915,
-        "status": "success",
-        "created_at": "2024-08-13T17:43:28.344908Z",
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       },
       {
-        "id": "db02076e-989a-59cd-98d5-e24e15a0bd27",
-        "group_ids": [],
+        "id": "52e12576-090f-59db-91f4-6d4b2e29ae6c",
+        "collection_ids": [],
         "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
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-        "metadata": {},
-        "title": "aristotle_v2.txt",
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-        "created_at": "2024-08-13T17:43:28.344898Z",
-        "updated_at": "2024-08-13T17:47:20.150851Z"
+        "type": "mp3",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "sample.mp3",
+        "version": "v0",
+        "size_in_bytes": 162228,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:26:22.511994Z",
+        "updated_at": "2024-09-20T22:31:28.770493Z",
+        "ingestion_attempt_number": null
       }
-    ]
+    ],
+    "total_entries": 15
   },
   "rerun_document_chunks_test": {
-    "results": "No chunks found for the given document ID."
+    "results": "{\"detail\":{\"message\":\"An error 'list index out of range' occurred during document_chunks_app\",\"error\":\"list index out of range\",\"error_type\":\"IndexError\"}}"
   }
 }
diff --git a/py/tests/regression/expected_outputs/test_retrieval.json b/py/tests/regression/expected_outputs/test_retrieval.json
index 4f4a7171c..b84c439ad 100644
--- a/py/tests/regression/expected_outputs/test_retrieval.json
+++ b/py/tests/regression/expected_outputs/test_retrieval.json
@@ -3,160 +3,230 @@
     "results": {
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-          "extraction_id": "3f3d47f3-8baf-58eb-8bc2-0171fb1c6e09",
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           "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
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-          "text": "Alternate Base Rate means, for any day, a rate per annum  equal to the greatest of (i) the Prime Rate in effect on such day, (ii) the Federal Funds Effective Rate in effect on such day \nplus  \u00bd of 1% and (iii) the sum of (a) the Adjusted LIBO Rate that would be payable onsuch day for a Eurodollar Borrowing with a one-month interest period",
+          "collection_ids": [],
+          "score": 0.2381485473557875,
+          "text": "Finance Leases\n\n2022 2023 2024 2025 2026 Thereafter Total undiscounted lease payments Less: imputed interest\n\n$\n\n280 $ 312 264 214 198 2,067 3,335 (1,506) 1,829 $\n\n140 60 34 9 \u2014 1 244 (10) 234\n\nTotal lease liabilities\n\n$\n\nAs of December 31, 2021, we had additional operating leases and finance leases, primarily for corporate offices and servers, that have not yet commenced of $421 million and $19 million, respectively. These operating and finance leases will commence between fiscal year 2022 and fiscal year 2023 with lease terms of 2 years to 13 years.\n\nMission Bay 1 & 2\n\nIn 2015, we entered into a joint venture (\u201cJV\u201d) agreement with a real estate developer (\u201cJV Partner\u201d) to develop land (\u201cthe Land\u201d) in San Francisco to construct our new headquarters (the \u201cHeadquarters\u201d). The Headquarters consists of two adjacent office buildings totaling approximately 423,000 rentable square feet. In connection with the JV arrangement, we acquired a 49% interest in the JV, the principal asset of which was the Land.",
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-            "title": "uber_2021.pdf",
-            "associatedQuery": "What is the capital of France?"
+            "version": "v0",
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+            "document_type": "pdf",
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-          "document_id": "3e157b3a-8469-51db-90d9-52e7d896b49b",
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           "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-          "group_ids": [],
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-          "text": "s, could also restrict our future access to the capital markets.ITEM 1B. UNRESOLVED STAFF\n COMMENTSNot applicable.\nITEM 2. PROPERTIES\nAs\n of December 31, 2021, we leased and owned office facilities around the world totaling 10.6 million square feet, including 2.6 million square feet for ourcorporate headquarte\nrs in the San Francisco Bay Area, California.We",
+          "collection_ids": [],
+          "score": 0.21556836366653442,
+          "text": "(c)\n\nCommuting and Corporate Housing Expenses. During your Employment, the Company shall cover the cost of your reasonable and substantiated expenses for travel between your primary residence and the Company\u2019s headquarters in San Francisco and corporate housing in the San Francisco Bay Area, up to a pre-tax maximum of $200,000 per year in the aggregate. All expense reimbursements shall be made in accordance with the Company\u2019s expense reimbursement policy.\n\n(d)",
           "metadata": {
-            "text": "s, could also restrict our future access to the capital markets.ITEM 1B. UNRESOLVED STAFF\n COMMENTSNot applicable.\nITEM 2. PROPERTIES\nAs\n of December 31, 2021, we leased and owned office facilities around the world totaling 10.6 million square feet, including 2.6 million square feet for ourcorporate headquarte\nrs in the San Francisco Bay Area, California.We",
-            "title": "uber_2021.pdf",
-            "associatedQuery": "What is the capital of France?"
+            "version": "v0",
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           "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
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-          "text": "RFR means, for any RFR Loan denominated in (a) British Pounds, SONIA and (b) Swiss Francs, SARON. \nRFR Borrowing means, as to any Borrowing, the RFR Loans comprising such Borrowing. \nRFR Business Day means, for any Loan denominated in (a) British Pounds, any day except for (i) a Saturday, (ii) a Sunday or (iii) a day on which banks are closed for general business in London and (b) Swiss Francs, any day except for (i) a Saturday, (ii) a Sunday or",
+          "collection_ids": [],
+          "score": 0.21189823746681213,
+          "text": "\u201cPlatform\u201d has the meaning set forth in Section 9.01(d).\n\n\u201cPrime Rate\u201d means the rate of interest the rate of interest published by the Wall Street Journal, from time to time, as the prime rate.\n\nThe Prime Rate is a reference rate and does not necessarily represent the lowest or best rate actually charged to any customer. The Administrative Agent or any other Lender may make commercial loans or other loans at rates of interest at, above or below the Prime Rate.\n\n\u201cPrincipal Office\u201d for each of the Administrative Agent and any Issuing Bank, means the office of the Administrative Agent and such Issuing Bank as set forth in Section 9.01(a), or such other office or office of a third party or sub-agent, as appropriate, as such Person may from time to time designate to Borrower and each Lender upon two Business Days\u2019 written notice.",
           "metadata": {
-            "text": "RFR means, for any RFR Loan denominated in (a) British Pounds, SONIA and (b) Swiss Francs, SARON. \nRFR Borrowing means, as to any Borrowing, the RFR Loans comprising such Borrowing. \nRFR Business Day means, for any Loan denominated in (a) British Pounds, any day except for (i) a Saturday, (ii) a Sunday or (iii) a day on which banks are closed for general business in London and (b) Swiss Francs, any day except for (i) a Saturday, (ii) a Sunday or",
-            "title": "uber_2021.pdf",
-            "associatedQuery": "What is the capital of France?"
+            "version": "v0",
+            "chunk_order": 1210,
+            "document_type": "pdf",
+            "unstructured_filetype": "application/pdf",
+            "unstructured_languages": [
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+            "unstructured_page_number": 205,
+            "partitioned_by_unstructured": true,
+            "associated_query": "What is the capital of France?"
           }
         },
         {
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-          "extraction_id": "7595cdf2-d1b0-5f13-b853-8ce6857ca5f5",
+          "fragment_id": "76d010b2-1498-531a-bf89-66aa17331203",
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           "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
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-          "text": "RFR Interest Day has the meaning specified in the definition of Daily Simple RFR. \nRFR Loan means a Loan that bears interest at a rate based on the Adjusted Daily Simple RFR. For the avoidance of doubt, only Loans denominated in British Pounds and Swiss Francs shall bear interest at a rate based on the Adjusted Daily Simple RFR.",
+          "collection_ids": [],
+          "score": 0.19467422366142273,
+          "text": "45-2647441 (I.R.S. Employer Identification No.)\n\n1515 3rd Street San Francisco, California 94158 (Address of principal executive offices, including zip code) (415) 612-8582 (Registrant\u2019s telephone number, including area code) ____________________________________________\n\nSecurities registered pursuant to Section 12(b) of the Act:\n\nTitle of each class Common Stock, par value $0.00001 per share",
           "metadata": {
-            "text": "RFR Interest Day has the meaning specified in the definition of Daily Simple RFR. \nRFR Loan means a Loan that bears interest at a rate based on the Adjusted Daily Simple RFR. For the avoidance of doubt, only Loans denominated in British Pounds and Swiss Francs shall bear interest at a rate based on the Adjusted Daily Simple RFR.",
-            "title": "uber_2021.pdf",
-            "associatedQuery": "What is the capital of France?"
+            "version": "v0",
+            "chunk_order": 1,
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-          "text": "Restricted\n cash and cash equivalents consist primarily of amounts held in separate trust accounts and restricted bank accounts as collateral for insurance purposesand amounts pledged\n to secure certain letters of credit.Investments\nDebt Securities\nThe Companys accounting for its investme\nnts in debt securities is based on the legal form of the security, the Companys intended holding period for the security,and",
+          "collection_ids": [],
+          "score": 0.19264961779117584,
+          "text": "Item 2. Properties.\n\nOur corporate headquarters are located in San Francisco, California, and consist of approximately 420,000 square feet under lease agreements through May 31,\n\n2030. We maintain additional offices in multiple locations in the U.S. and internationally in Montreal, Canada, Munich, Germany and Minsk, Belarus.\n\nWe lease all of our facilities and do not own any real property. We believe our facilities are adequate and suitable for our current needs and that, should it be\n\nneeded, suitable additional or alternative space will be available to accommodate our operations.\n\n53\n\nItem 3. Legal Proceedings.\n\nSee discussion under the heading Legal Proceedings in Note 9 to the consolidated financial statements included in Part II, Item 8 of this report.\n\nItem 4. Mine Safety Disclosures.\n\nNot applicable.\n\n54\n\nPART II\n\nItem 5. Market for Registrant\u2019s Common Equity, Related Stockholder Matters and Issuer Purchases of Equity Securities.",
           "metadata": {
-            "text": "Restricted\n cash and cash equivalents consist primarily of amounts held in separate trust accounts and restricted bank accounts as collateral for insurance purposesand amounts pledged\n to secure certain letters of credit.Investments\nDebt Securities\nThe Companys accounting for its investme\nnts in debt securities is based on the legal form of the security, the Companys intended holding period for the security,and",
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-          "text": "Fax: \n212-701-5165 (iv)\nif to MSSF, in its capacity as a Lender, to it at: Morgan Stanley Senior Funding, Inc.\n1 New York Plaza, 41st Floor\nNew York, New York, 10004\nAttention: Agency Team\nFax: (212) 507-6680\n(iv)    if to any other Lender or any other Issuing Bank, to it at its address (or telecopy number) set forth in its Administrative\nQuestionnaire.\n112",
+          "collection_ids": [],
+          "score": 0.19248970195712467,
+          "text": "(b)\n\nSolely for purposes of Article II and related definitional provisions to the extent used therein, the applicable amount of any\n\ncurrency (other than dollars) for purposes of the Loan Documents shall be such Dollar Equivalent amount as determined by the Administrative Agent and notified to the applicable Issuing Bank and the Borrower in accordance with Section 1.06(a). Amounts denominated in a Permitted Foreign Currency will be converted to dollars for the purposes of calculating the Senior Secured Net Leverage Ratio at the Exchange Rate as of the date of calculation.",
           "metadata": {
-            "text": "Fax: \n212-701-5165 (iv)\nif to MSSF, in its capacity as a Lender, to it at: Morgan Stanley Senior Funding, Inc.\n1 New York Plaza, 41st Floor\nNew York, New York, 10004\nAttention: Agency Team\nFax: (212) 507-6680\n(iv)    if to any other Lender or any other Issuing Bank, to it at its address (or telecopy number) set forth in its Administrative\nQuestionnaire.\n112",
-            "title": "uber_2021.pdf",
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           "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
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-          "text": "24,757   24,757 Money market deposit accoun\nts162   162 Term deposits\n6,506   6,506 Certificates of deposit\n481,154 213 (3) 481,364 Commercial paper\n469,193 57 (10) 469,240 Corporate bonds\n184,560 67 (26) 184,601 Total restricted cash equivale\nnts and investments1,166,332 337 (39) 1,166,630 Total unrestricted and \nrestricted cash equivalents and investments$ 3,283,497 $ 668 $ (104) $ 3,284,061 _______________\n(1)",
+          "collection_ids": [],
+          "score": 0.1894184407418502,
+          "text": "Interest, net of amount capitalized Income taxes, net of refunds\n\n$\n\nNon-cash investing and financing activities:\n\nConversion of redeemable convertible preferred stock to common stock upon initial public offering Conversion of convertible notes to common stock upon initial public offering Conversion of convertible notes to common stock related to Careem Finance lease obligations Common stock issued in connection with acquisitions Ownership interest received in exchange for divestitures Issuance of Careem Notes including the holdback amount\n\nThe accompanying notes are an integral part of these consolidated financial statements.\n\n81\n\n2019",
           "metadata": {
-            "text": "24,757   24,757 Money market deposit accoun\nts162   162 Term deposits\n6,506   6,506 Certificates of deposit\n481,154 213 (3) 481,364 Commercial paper\n469,193 57 (10) 469,240 Corporate bonds\n184,560 67 (26) 184,601 Total restricted cash equivale\nnts and investments1,166,332 337 (39) 1,166,630 Total unrestricted and \nrestricted cash equivalents and investments$ 3,283,497 $ 668 $ (104) $ 3,284,061 _______________\n(1)",
-            "title": "lyft_2021.pdf",
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-          "text": "our future capital requirements;\nour ability to service our current and future debt, and counterparty risk with respect to our capped call transactions;\nour ability to make and successfully integrate acquisitions and investments or complete divestitures, joint ventures, partnerships or other strategic transactions;\nour tax liabilities, ability to use our net operating loss carryforwards and future changes in tax matters;Governance Risks and Risks related to Ownership o\nf our Capital Stock",
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+          "text": "(1) the rate, or methodology for this rate, and conventions for this rate selected or recommendedby the Relevant Governmental Body\n\nfor determining compounded SOFR; provided that:\n\n(2) if, and to the extent that, the Administrative Agent determines that Compounded SOFRcannot\n\nbe determined in accordance with clause (1) above, then the rate, or methodology for this rate, and conventions for this rate that the Administrative Agent determines are substantially consistent with prevailing market convention for determining Compounded SOFR for U.S. dollar-denominated syndicated credit facilities at such time (as a result of amendment or as originally executed);",
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-          "text": "UK Financial Institution means any BRRD Undertaking (as such term is defined under the PRA Rulebook (as amended form time to time) promulgated by the United Kingdom Prudential Regulation Authority) or any person falling within IFPRU 11.6 of the FCA\nHandbook (as amended from time to time) promulgated by the United Kingdom Financial Conduct Authority, which includes certain credit\ninstitutions and investment firms, and certain affiliates of such credit institutions or investment firms.",
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-          "text": "l executive offices are located at 1515 3rd Street, San Francisco, California 94158, and our telephone number is (415) 612-8582.10",
+          "collection_ids": [],
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+          "text": "principal payments on finance lease obligations for $35.5 million.\n\nCash provided by financing activities was $512.6 million for the year ended December 31, 2020, which primarily consisted of proceeds from issuance of our 2025\n\nNotes of $734.1 million offset by the purchase of the Capped Calls for $132.7 million.\n\nLiquidity and Capital Resources",
           "metadata": {
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-              "content": "Uber did not make a profit in 2020. Instead, it reported a net loss attributable to Uber Technologies, Inc. of $6,768 million [4], [5], [9].",
+              "content": "Uber did not make a profit in 2020. Instead, Uber reported a net loss attributable to Uber Technologies, Inc. of $6.8 billion for the year ended December 31, 2020 [3].",
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-            "text": "Net\n loss attributable to Uber Technologies, Inc. was $496 million, a 93% improvement year-over-year, driven by a $1.6 billion pre-tax gain on the sale of ourATG\n Business to Aurora, a $1.6 billion pre-tax  net benefit relating to Ubers equity investments, as  well as reductions in our fixed cost structure and increasedvariable cost effi\nciencies. Net loss attributable to Uber Technologies, Inc. also included $1.2 billion of stock-based compensation expense.Adjusted",
+            "collection_ids": [],
+            "score": 0.7445549521115464,
+            "text": "Revenue was $17.5 billion, or up 57% year-over-year, reflecting the overall growth in our Delivery business and an increase in Freight revenue attributable to the acquisition of Transplace in the fourth quarter of 2021 as well as growth in the number of shippers and carriers on the network combined with an increase in volumes with our top shippers.\n\nNet loss attributable to Uber Technologies, Inc. was $496 million, a 93% improvement year-over-year, driven by a $1.6 billion pre-tax gain on the sale of our ATG Business to Aurora, a $1.6 billion pre-tax net benefit relating to Uber\u2019s equity investments, as well as reductions in our fixed cost structure and increased variable cost efficiencies. Net loss attributable to Uber Technologies, Inc. also included $1.2 billion of stock-based compensation expense.",
             "metadata": {
-              "text": "Net\n loss attributable to Uber Technologies, Inc. was $496 million, a 93% improvement year-over-year, driven by a $1.6 billion pre-tax gain on the sale of ourATG\n Business to Aurora, a $1.6 billion pre-tax  net benefit relating to Ubers equity investments, as  well as reductions in our fixed cost structure and increasedvariable cost effi\nciencies. Net loss attributable to Uber Technologies, Inc. also included $1.2 billion of stock-based compensation expense.Adjusted",
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-            "text": "See  the section titled Reconciliations of Non-GAAP Financial Measures for our definition and a reconciliation of net loss attributable toUber Technologies, Inc. to Adjusted EBITDA.\nYear Ended December 31,\n(In millions, except percentages)\n2020 2021 2020 to 2021 %Change\nAdjusted EBITDA\n$ (2,528) $ (774) 69 %2021 Compared to 2020\nAdjusted\n EBITDA  loss  improved  $1.8  billion,  or  69%,  primarily  attributable  to  a  $525  million  improvement  in  Delivery  Adjusted  EBITDA  loss,  a  $427million",
+            "collection_ids": [],
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+            "text": "Total costs and expenses Loss from operations\n\nInterest expense Other income (expense), net Loss before income taxes and loss from equity method investments Provision for (benefit from) income taxes Loss from equity method investments Net loss including non-controlling interests\n\nLess: net loss attributable to non-controlling interests, net of tax\n\n100 %\n\n46 % 16 % 32 % 20 % 24 % 5 % 144 % (44)% (4)% (15)% (62)% (2)% \u2014 % (61)% \u2014 % (61)%\n\n100 %\n\n54 % 11 % 27 % 12 % 13 % 5 % 122 % (22)% (3)% 19 % (6)% (3)% \u2014 % (3)% \u2014 % (3)%\n\nNet loss attributable to Uber Technologies, Inc.\n\n(1)\n\nTotals of percentage of revenues may not foot due to rounding.\n\nComparison of the Years Ended December 31, 2020 and 2021\n\nRevenue\n\nYear Ended December 31,\n\n(In millions, except percentages)\n\n2020\n\n2021\n\n2020 to 2021 % Change\n\nRevenue\n\n$\n\n11,139 $\n\n17,455\n\n57 %",
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-              "text": "See  the section titled Reconciliations of Non-GAAP Financial Measures for our definition and a reconciliation of net loss attributable toUber Technologies, Inc. to Adjusted EBITDA.\nYear Ended December 31,\n(In millions, except percentages)\n2020 2021 2020 to 2021 %Change\nAdjusted EBITDA\n$ (2,528) $ (774) 69 %2021 Compared to 2020\nAdjusted\n EBITDA  loss  improved  $1.8  billion,  or  69%,  primarily  attributable  to  a  $525  million  improvement  in  Delivery  Adjusted  EBITDA  loss,  a  $427million",
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-            "text": "24 59 83 Other income (expense), net\n$ 722 $ (1,625) $ 3,292 During\n the year ended December 31, 2020, gain on business divestitures, net represented a $154 million gain on the sale of our Uber Eats India operationsto Zomato\n recognized in the first quarter of 2020 and a $77 million gain on the sale of our European Freight Business to sennder GmbH (Sennder) recognized inthe fourth quarter of 2020, pa",
+            "collection_ids": [],
+            "score": 0.6809690201571295,
+            "text": "Year Ended December 31, 2020\n\nRevenue Costs and expenses Cost of revenue, exclusive of depreciation and amortization shown separately below Operations and support Sales and marketing Research and development General and administrative Depreciation and amortization\n\nTotal costs and expenses Loss from operations\n\nInterest expense Other income (expense), net Loss before income taxes and loss from equity method investments Provision for (benefit from) income taxes Loss from equity method investments Net loss including non-controlling interests\n\nLess: net loss attributable to non-controlling interests, net of tax\n\n$\n\n13,000 $\n\n6,061 2,302 4,626 4,836 3,299 472 21,596 (8,596) (559) 722 (8,433) 45 (34) (8,512) (6) (8,506) $\n\n11,139 $\n\n5,154 1,819 3,583 2,205 2,666 575 16,002 (4,863) (458) (1,625) (6,946) (192) (34) (6,788) (20) (6,768) $\n\nNet loss attributable to Uber Technologies, Inc. Net loss per share attributable to Uber Technologies, Inc. common stockholders:\n\n$\n\nBasic\n\n$\n\n(6.81) $\n\n(3.86) $",
             "metadata": {
-              "text": "24 59 83 Other income (expense), net\n$ 722 $ (1,625) $ 3,292 During\n the year ended December 31, 2020, gain on business divestitures, net represented a $154 million gain on the sale of our Uber Eats India operationsto Zomato\n recognized in the first quarter of 2020 and a $77 million gain on the sale of our European Freight Business to sennder GmbH (Sennder) recognized inthe fourth quarter of 2020, pa",
-              "title": "uber_2021.pdf",
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             "document_id": "3e157b3a-8469-51db-90d9-52e7d896b49b",
             "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-            "group_ids": [],
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-            "text": "The following table presents a reconciliation of net loss attributable to Uber Technologies, Inc., the most directly comparable GAAP financial measure, toAdjusted EBITDA for each of the periods ind\nicated:Year Ended December 31,\n(In millions)\n2020 2021 Adjusted EBITDA reconciliation:\nNet loss attributable to Ube\nr Technologies, Inc.$ (6,768) $ (496) Add (deduct):\nNet loss attributable to non\n-controlling interests, net of tax(20) (74) Provision for (benefit fro",
+            "collection_ids": [],
+            "score": 0.6805637085605776,
+            "text": "Less: net loss attributable to non-controlling interests, net of tax\n\n$\n\n11,139 $\n\n5,154 1,819 3,583 2,205 2,666 575 16,002 (4,863) (458) (1,625) (6,946) (192) (34) (6,788) (20) (6,768) $\n\n17,455\n\n9,351 1,877 4,789 2,054 2,316 902 21,289 (3,834) (483) 3,292 (1,025) (492) (37) (570) (74) (496)\n\nNet loss attributable to Uber Technologies, Inc.\n\n$\n\n54\n\nThe following table sets forth the components of our consolidated statements of operations for each of the periods presented as a percentage of revenue\n\n(1)\n\n:\n\nYear Ended December 31, 2021 2020\n\nRevenue Costs and expenses Cost of revenue, exclusive of depreciation and amortization shown separately below Operations and support Sales and marketing Research and development General and administrative Depreciation and amortization",
             "metadata": {
-              "text": "The following table presents a reconciliation of net loss attributable to Uber Technologies, Inc., the most directly comparable GAAP financial measure, toAdjusted EBITDA for each of the periods ind\nicated:Year Ended December 31,\n(In millions)\n2020 2021 Adjusted EBITDA reconciliation:\nNet loss attributable to Ube\nr Technologies, Inc.$ (6,768) $ (496) Add (deduct):\nNet loss attributable to non\n-controlling interests, net of tax(20) (74) Provision for (benefit fro",
-              "title": "uber_2021.pdf",
-              "associatedQuery": "What was Uber's profit in 2020?"
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             "document_id": "3e157b3a-8469-51db-90d9-52e7d896b49b",
             "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
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-            "text": "Financial and Operational HighlightsYear Ended December 31,\nConstant Currency (In millions, except percentages)\n2020 2021 2020 to 2021 %Change\n2020 to 2021 % Change Monthly Active Platform Consumers \n(MAPCs) 93 118 27 %Trips \n5,025 6,368 27 %Gross Bookings \n$ 57,897 $ 90,415 56 %53 % Revenue\n$ 11,139 $ 17,455 57 %54 % Net loss attributable to Ube\nr Technologies, Inc. $ (6,768) $ (496) 93 %Mobility Adjusted EBITDA\n$ 1,169 $ 1,596 37 %Delivery Adjusted EBITDA\n$ (873) $ (348) 60 %Adjusted EBITDA",
+            "collection_ids": [],
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+            "text": "The Uber Service activities are performed to satisfy our sole performance obligation in the transaction, which is to connect Drivers and Merchants with end-\n\nusers to facilitate the completion of a successful transaction.\n\nIn 2020, we began charging Mobility end-users a fee to use the platform in certain markets. In these transactions, in addition to a performance obligation to Drivers, we also have a performance obligation to end-users, which is to connect end-users to Drivers in the marketplace. We recognize revenue when a trip is complete. We present revenue on a net basis for these transactions, as we do not control the service provided by Drivers to end-users. For the years ended December 31, 2020 and 2021, we recognized total revenue of $323 million and $336 million, respectively, associated with these fees charged to end-users.",
             "metadata": {
-              "text": "Financial and Operational HighlightsYear Ended December 31,\nConstant Currency (In millions, except percentages)\n2020 2021 2020 to 2021 %Change\n2020 to 2021 % Change Monthly Active Platform Consumers \n(MAPCs) 93 118 27 %Trips \n5,025 6,368 27 %Gross Bookings \n$ 57,897 $ 90,415 56 %53 % Revenue\n$ 11,139 $ 17,455 57 %54 % Net loss attributable to Ube\nr Technologies, Inc. $ (6,768) $ (496) 93 %Mobility Adjusted EBITDA\n$ 1,169 $ 1,596 37 %Delivery Adjusted EBITDA\n$ (873) $ (348) 60 %Adjusted EBITDA",
-              "title": "uber_2021.pdf",
-              "associatedQuery": "What was Uber's profit in 2020?"
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-            "extraction_id": "2b6f0786-5dc4-5581-bb83-b63f1175111a",
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-            "group_ids": [],
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-            "text": "ments(34) (34) (37) Net loss including non-controlling interests\n(8,512) (6,788) (570) Less: net loss attributab\nle to non-controlling interests, net of tax(6) (20) (74) Net loss attributable to Uber Technologies, Inc.\n$ (8,506) $ (6,768) $ (496) Net loss per share attributable to Uber Technologies, Inc. co\nmmon stockholders:Basic\n$ (6.81) $ (3.86) $ (0.26) Diluted\n$ (6.81) $ (3.86) $ (0.29) Weighted-average shares used to compute net loss per shar\ne attributable to common stockholders:Basic",
+            "collection_ids": [],
+            "score": 0.6387766599655151,
+            "text": "Other income (expense), net\n\n$\n\nDuring the year ended December 31, 2020, gain on business divestitures, net represented a $154 million gain on the sale of our Uber Eats India operations to Zomato recognized in the first quarter of 2020 and a $77 million gain on the sale of our European Freight Business to sennder GmbH (\u201cSennder\u201d) recognized in the fourth quarter of 2020, partially offset by a $27 million loss on the sale of our JUMP operations to Lime recognized in the second quarter of 2020.\n\n(1)\n\nDuring the year ended December 31, 2021, gain on business divestitures, net represented a $1.6 billion gain on the sale of our ATG Business to Aurora",
             "metadata": {
-              "text": "ments(34) (34) (37) Net loss including non-controlling interests\n(8,512) (6,788) (570) Less: net loss attributab\nle to non-controlling interests, net of tax(6) (20) (74) Net loss attributable to Uber Technologies, Inc.\n$ (8,506) $ (6,768) $ (496) Net loss per share attributable to Uber Technologies, Inc. co\nmmon stockholders:Basic\n$ (6.81) $ (3.86) $ (0.26) Diluted\n$ (6.81) $ (3.86) $ (0.29) Weighted-average shares used to compute net loss per shar\ne attributable to common stockholders:Basic",
-              "title": "uber_2021.pdf",
-              "associatedQuery": "What was Uber's profit in 2020?"
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             "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-            "group_ids": [],
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-            "text": "issued to new investors in close proximity to the time of our transaction with Zomato. The transaction resulted in a gain on disposal of $154 millionrecognized\n in other income (expense), net in the consolidated statements of operations during the first quarter of 2020. The income tax effect of the sale was notmaterial.\n The divestiture  of Uber Eats India did not represent  a strategic  shift that would have had a major  effect  on our operations  and financial  results, andtherefore does not quali",
+            "collection_ids": [],
+            "score": 0.6321083903312683,
+            "text": "2019\n\n100.0 %\n\n60.2 17.6 41.6 22.5 32.8 174.7 (74.7) \u2014 2.8 (71.9) 0.1 (72.0)%\n\n2019 to 2020 % Change\n\n(35) %\n\nsecond quarter of 2021. These increases were offset by investments in driver supply by increasing driver incentives recorded as a reduction to revenue by $942.9 million in 2021 as compared to the prior year as rider demand outpaced driver supply during certain periods of the pandemic recovery in 2021. Revenue in 2020 was also higher in the first quarter of 2020 prior to the implementation of shelter-in-place orders and other travel restrictions across North America beginning March 2020.\n\nWe expect to see continued recovery in demand for our platform and the resulting positive impacts on revenue as there are more widespread immunity levels, more communities reopen and other restrictive travel and social distancing measures in response to COVID-19 are eased. However, we cannot predict the impact of COVID variants and the longer term impact of the pandemic on consumer behavior.\n\nCost of Revenue\n\n2021",
             "metadata": {
-              "text": "issued to new investors in close proximity to the time of our transaction with Zomato. The transaction resulted in a gain on disposal of $154 millionrecognized\n in other income (expense), net in the consolidated statements of operations during the first quarter of 2020. The income tax effect of the sale was notmaterial.\n The divestiture  of Uber Eats India did not represent  a strategic  shift that would have had a major  effect  on our operations  and financial  results, andtherefore does not quali",
-              "title": "uber_2021.pdf",
-              "associatedQuery": "What was Uber's profit in 2020?"
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-            "extraction_id": "eeadc634-c141-5748-98d0-4c89aa5404b1",
+            "fragment_id": "d5379124-e7ff-509f-b47f-a79152eec2d4",
+            "extraction_id": "2562b865-e4df-5376-9e70-927be9afbb7e",
             "document_id": "3e157b3a-8469-51db-90d9-52e7d896b49b",
             "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-            "group_ids": [],
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-            "text": "is presented in the following tables for the years ended December 31, 2019, 2020 and 2021, respectively (in millions):Year Ended December 31,\n2019\n2020 2021 Mobility revenue \n$ 10,707 $ 6,089 $ 6,953 Delivery revenue \n1,401 3,904 8,362 Freight revenue\n731 1,011 2,132 All Other revenue\n161 135 8 Total revenue\n$ 13,000 $ 11,139 $ 17,455  We\n offer subscription memberships to end-users including Uber One, Uber Pass, Rides Pass, and Eats Pass (Subscription). We recognize Subscriptionfees",
+            "collection_ids": [],
+            "score": 0.63012705682194,
+            "text": "For additional discussion, see the risk factor titled \u201c\u2014If we are unable to attract or maintain a critical mass of Drivers, consumers, merchants, shippers, and carriers, whether as a result of competition or other factors, our platform will become less appealing to platform users, and our financial results would be adversely impacted.\u201d included in Part I, Item 1A of this Annual Report on Form 10-K as well our 2021 ESG Report and our 2021 People and Culture Report. The information in these reports is not a part of this Form 10-K.\n\nAdditional Information\n\nWe were founded in 2009 and incorporated as Ubercab, Inc., a Delaware corporation, in July 2010. In February 2011, we changed our name to Uber\n\nTechnologies, Inc. Our principal executive offices are located at 1515 3rd Street, San Francisco, California 94158, and our telephone number is (415) 612-8582.\n\n10",
             "metadata": {
-              "text": "is presented in the following tables for the years ended December 31, 2019, 2020 and 2021, respectively (in millions):Year Ended December 31,\n2019\n2020 2021 Mobility revenue \n$ 10,707 $ 6,089 $ 6,953 Delivery revenue \n1,401 3,904 8,362 Freight revenue\n731 1,011 2,132 All Other revenue\n161 135 8 Total revenue\n$ 13,000 $ 11,139 $ 17,455  We\n offer subscription memberships to end-users including Uber One, Uber Pass, Rides Pass, and Eats Pass (Subscription). We recognize Subscriptionfees",
-              "title": "uber_2021.pdf",
-              "associatedQuery": "What was Uber's profit in 2020?"
+              "version": "v0",
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             "document_id": "3e157b3a-8469-51db-90d9-52e7d896b49b",
             "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-            "group_ids": [],
-            "score": 0.6163432230744841,
-            "text": "(458) (483) Other income (expense), net\n(1,625) 3,292 Loss before income taxes and loss from equity me\nthod investments(6,946) (1,025) Provision for (benefit fro\nm) income taxes(192) (492) Loss from equity method invest\nments(34) (37) Net loss including non-controlling interests\n(6,788) (570) Less: net loss attributab\nle to non-controlling interests, net of tax(20) (74) Net loss attributable to Uber Technologies, Inc.\n$ (6,768) $ (496) 54",
+            "collection_ids": [],
+            "score": 0.6285917009601995,
+            "text": "Uber Technologies, Inc. (\u201cUber,\u201d \u201cwe,\u201d \u201cour,\u201d or \u201cus\u201d) was incorporated in Delaware in July 2010, and is headquartered in San Francisco, California. Uber is a technology platform that uses a massive network, leading technology, operational excellence and product expertise to power movement from point A to point B. Uber develops and operates proprietary technology applications supporting a variety of offerings on its platform (\u201cplatform(s)\u201d or \u201cPlatform(s)\u201d). Uber connects consumers (\u201cRider(s)\u201d) with independent providers of ride services (\u201cMobility Driver(s)\u201d) for ridesharing services, and connects Riders and other consumers (\u201cEaters\u201d) with restaurants, grocers and other stores (collectively, \u201cMerchants\u201d) with delivery service providers (\u201cCouriers\u201d) for meal preparation, grocery and other delivery services. Riders and Eaters are collectively referred to as \u201cend-user(s)\u201d or \u201cconsumer(s).\u201d Mobility Drivers and Couriers are collectively referred to as \u201cDriver(s).\u201d Uber also connects consumers with public",
             "metadata": {
-              "text": "(458) (483) Other income (expense), net\n(1,625) 3,292 Loss before income taxes and loss from equity me\nthod investments(6,946) (1,025) Provision for (benefit fro\nm) income taxes(192) (492) Loss from equity method invest\nments(34) (37) Net loss including non-controlling interests\n(6,788) (570) Less: net loss attributab\nle to non-controlling interests, net of tax(20) (74) Net loss attributable to Uber Technologies, Inc.\n$ (6,768) $ (496) 54",
-              "title": "uber_2021.pdf",
-              "associatedQuery": "What was Uber's profit in 2020?"
+              "version": "v0",
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             "document_id": "3e157b3a-8469-51db-90d9-52e7d896b49b",
             "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
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-            "score": 0.606526911258698,
-            "text": "UBER TECHNOLOGIES, INC.NOTES TO CONSOLIDATED \nFINANCIAL STATEMENTSNote 1  Description of Business and Summary of Significant Accounting Policies\nDescription of Business\nUber\n Technologies, Inc. (Uber, we, our, or us) was incorporated in Delaware in July 2010, and is headquartered in San Francisco, California. Uber isa\n technology platform that uses a massive network, leading technology, operational excellence and product expertise to power movement from point A to point B.Uber",
+            "collection_ids": [],
+            "score": 0.6283430678639979,
+            "text": "Year Ended December 31, 2020\n\n1,000 49 1,189 (27) \u2014 (138) (34) 8,939 (4) 3,824\n\n247 125 2,628 (527) (891) (224) 38 1,379 (92) (4,327)\n\n8,209 34 12,067 $\n\n12,067 (349) 7,391 $\n\n332 $ 133\n\n412 $ 82\n\n14,224 4,229 \u2014 251 9 \u2014 \u2014\n\n\u2014 \u2014 \u2014 196 3,898 171 1,634\n\n2021\n\n675 107 1,484 (27) (307) (226) 101 1,780 (69) 65\n\n7,391 349 7,805\n\n449 87\n\n\u2014 \u2014 232 184 1,868 1,018 \u2014\n\nUBER TECHNOLOGIES, INC.\n\nNOTES TO CONSOLIDATED FINANCIAL STATEMENTS\n\nNote 1 \u2013 Description of Business and Summary of Significant Accounting Policies\n\nDescription of Business",
             "metadata": {
-              "text": "UBER TECHNOLOGIES, INC.NOTES TO CONSOLIDATED \nFINANCIAL STATEMENTSNote 1  Description of Business and Summary of Significant Accounting Policies\nDescription of Business\nUber\n Technologies, Inc. (Uber, we, our, or us) was incorporated in Delaware in July 2010, and is headquartered in San Francisco, California. Uber isa\n technology platform that uses a massive network, leading technology, operational excellence and product expertise to power movement from point A to point B.Uber",
-              "title": "uber_2021.pdf",
-              "associatedQuery": "What was Uber's profit in 2020?"
+              "version": "v0",
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+              "content": "John Snow is Ned Stark\u2019s bastard son. Since Catelyn is not his mother, he is not a proper member of the Stark family, and he often feels himself an outsider. He is also a highly capable swordsman and thinker, with a knack for piercing observations [1].",
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-            "text": "Structure of Scientific Revolutions, but I also recommend his\nCopernican Revolution, where you can see him at work developing the\nidea.[4]\nThis is one reason people with a touch of Asperger's may have\nan advantage in discovering new ideas. They're always flying on\ninstruments.[5]\nHall, Rupert. From Galileo to Newton. Collins, 1963. This\nbook is particularly good at getting into contemporaries' heads.Thanks to Trevor Blackwell, Patrick Collison, Suhail Doshi, Daniel",
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-            "text": "to  economic,  social,  weather,  and  regulatory  conditions  or  other  circumstances  in  each  of  these  large  metropolitan  areas.  Outbreaks  of  contagiousdiseases\n or other viruses, such as COVID-19, could lead to a sustained decline in the desirability of living, working and congregating in metropolitan areas inwhich we operate. Any short-term o\nr long-term shifts in the travel patterns of consumers away from metropolitan areas, due to health concerns regarding epidemicsor",
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+            "text": "Shared and Shared Saver Rides enables unrelated parties traveling along similar routes to benefit from a discounted fare at the cost of possibly longer travel times. With a Shared or Shared Saver Ride, when the first rider requests a ride, our algorithms use the first rider\u2019s destination and attempt to match them with other riders traveling along a similar route. If a match between riders is made, our algorithms re-route the driver to include the pick-up location of the matched rider on the active route. For Shared and Shared Saver Rides, drivers earn a fixed amount based on a number of factors, including the time and distance of the ride, the base fare charged to riders and the level of rider demand. We determine the rider fare based on the predicted time and distance of the ride, the level of rider demand and the likelihood of being able to match additional riders along the given route, and such fare is quoted to the riders prior to their commitment to the ride. The fare charged to the riders is decoupled",
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-              "text": "completely as soon as it was discovered \u2014 that whatever the church thought\nof the heliocentric model, astronomers must have been convinced as\nsoon as Copernicus proposed it. Far, in fact, from it. Copernicus\npublished the heliocentric model in 1532, but it wasn't till the\nmid seventeenth century that the balance of scientific opinion\nshifted in its favor.\n[5]Few understand how feeble new ideas look when they first appear.\nSo if you want to have new ideas yourself, one of the most valuable",
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-              "content": "<search>\"{\\\"fragment_id\\\":\\\"14745860-73d2-5d40-81aa-9f7085c52d25\\\",\\\"extraction_id\\\":\\\"a1ba66bf-a034-5cc6-b88b-0df6f1c38dbc\\\",\\\"document_id\\\":\\\"2f576170-c4f9-5141-a910-a0924f341de4\\\",\\\"user_id\\\":\\\"2acb499e-8428-543b-bd85-0d9098718220\\\",\\\"group_ids\\\":[],\\\"score\\\":0.761440396308899,\\\"text\\\":\\\"Lyft, Inc.Consolidated Statements of Operations\\\\n(in thousands, except for per share data\\\\n) Year Ended December 31,\\\\n2021\\\\n2020 2019 Revenue\\\\n$ 3,208,323 $ 2,364,681 $ 3,615,960 Costs and expenses\\\\nCost of revenue\\\\n1,649,532 1,447,516 2,176,469 Operations and support\\\\n402,233 453,963 636,116 Research and development\\\\n911,946 909,126 1,505,640 Sales and marketing\\\\n411,406 416,331 814,122 General and administrative\\\\n915,638 946,127 1,186,093 Total costs and expenses\\\\n4,290,755 4,173,063 6,318,440 Loss from operations\\\",\\\"metadata\\\":{\\\"text\\\":\\\"Lyft, Inc.Consolidated Statements of Operations\\\\n(in thousands, except for per share data\\\\n) Year Ended December 31,\\\\n2021\\\\n2020 2019 Revenue\\\\n$ 3,208,323 $ 2,364,681 $ 3,615,960 Costs and expenses\\\\nCost of revenue\\\\n1,649,532 1,447,516 2,176,469 Operations and support\\\\n402,233 453,963 636,116 Research and development\\\\n911,946 909,126 1,505,640 Sales and marketing\\\\n411,406 416,331 814,122 General and administrative\\\\n915,638 946,127 1,186,093 Total costs and expenses\\\\n4,290,755 4,173,063 6,318,440 Loss from operations\\\",\\\"title\\\":\\\"lyft_2021.pdf\\\",\\\"associatedQuery\\\":\\\"What was Lyft's profit in 2020?\\\"}}\",\"{\\\"fragment_id\\\":\\\"14478ac4-8f43-5f09-bbe3-7b1ddfdece40\\\",\\\"extraction_id\\\":\\\"12cff898-f0fe-59b8-929b-00d3d56fd73d\\\",\\\"document_id\\\":\\\"2f576170-c4f9-5141-a910-a0924f341de4\\\",\\\"user_id\\\":\\\"2acb499e-8428-543b-bd85-0d9098718220\\\",\\\"group_ids\\\":[],\\\"score\\\":0.69296767157509,\\\"text\\\":\\\"was  attributable  to  the  divestiture  of  certain  assets  related  to  the  Level  5  division  and  how  much  was  attributable  to  the  commercial  agreements  for  theutilization\\\\n of Lyft rideshare and fleet data. For the year ended December 31, 2021, the Company recognized a $119.3 million pre-tax gain for the divestiture of certainassets\\\",\\\"metadata\\\":{\\\"text\\\":\\\"was  attributable  to  the  divestiture  of  certain  assets  related  to  the  Level  5  division  and  how  much  was  attributable  to  the  commercial  agreements  for  theutilization\\\\n of Lyft rideshare and fleet data. For the year ended December 31, 2021, the Company recognized a $119.3 million pre-tax gain for the divestiture of certainassets\\\",\\\"title\\\":\\\"lyft_2021.pdf\\\",\\\"associatedQuery\\\":\\\"What was Lyft's profit in 2020?\\\"}}\",\"{\\\"fragment_id\\\":\\\"1a76991f-fa85-59b2-b522-700d47b2d809\\\",\\\"extraction_id\\\":\\\"0773cd62-b39f-517f-b6f1-be788b38374d\\\",\\\"document_id\\\":\\\"2f576170-c4f9-5141-a910-a0924f341de4\\\",\\\"user_id\\\":\\\"2acb499e-8428-543b-bd85-0d9098718220\\\",\\\"group_ids\\\":[],\\\"score\\\":0.683727383613586,\\\"text\\\":\\\"Lyft, Inc.Consolidated Statements of Cash Flows\\\\n(in thousands)\\\\nYear Ended December 31,\\\\n2021\\\\n2020 2019 Cash flows from operating activities\\\\nNet loss\\\\n$ (1,009,359) $ (1,752,857) $ (2,602,241) Adjustments to reconcile net loss to net cash used in operating activities\\\\nDepreciation and amortization\\\\n139,347 157,353 108,429 Stock-based compensation\\\\n724,560 565,807 1,599,311 Amortization of premium on marketable securities\\\\n4,100 6,461 597 Accretion of discount on marketable securities\\\",\\\"metadata\\\":{\\\"text\\\":\\\"Lyft, Inc.Consolidated Statements of Cash Flows\\\\n(in thousands)\\\\nYear Ended December 31,\\\\n2021\\\\n2020 2019 Cash flows from operating activities\\\\nNet loss\\\\n$ (1,009,359) $ (1,752,857) $ (2,602,241) Adjustments to reconcile net loss to net cash used in operating activities\\\\nDepreciation and amortization\\\\n139,347 157,353 108,429 Stock-based compensation\\\\n724,560 565,807 1,599,311 Amortization of premium on marketable securities\\\\n4,100 6,461 597 Accretion of discount on marketable securities\\\",\\\"title\\\":\\\"lyft_2021.pdf\\\",\\\"associatedQuery\\\":\\\"What was Lyft's profit in 2020?\\\"}}\",\"{\\\"fragment_id\\\":\\\"bfc29c59-2925-5621-951a-645df5c892b2\\\",\\\"extraction_id\\\":\\\"94c562ae-c5cc-5622-b91c-34a0effcb6e1\\\",\\\"document_id\\\":\\\"2f576170-c4f9-5141-a910-a0924f341de4\\\",\\\"user_id\\\":\\\"2acb499e-8428-543b-bd85-0d9098718220\\\",\\\"group_ids\\\":[],\\\"score\\\":0.671545108304772,\\\"text\\\":\\\"Lyft, Inc.Consolidated Statements of Comprehensive Loss\\\\n(in thousands) \\\\nYear Ended December 31,\\\\n2021\\\\n2020 2019 Net loss\\\\n$ (1,009,359) $ (1,752,857) $ (2,602,241) Other comprehensive incom\\\\ne (loss)Foreign currency transla\\\\ntion adjustment(931) (2,187) 162 Unrealized gain (loss) on m\\\\narketable securities, net of taxes(1,107) (1,011) 2,430 Other comprehensive incom\\\\ne (loss)(2,038) (3,198) 2,592 Comprehensive loss\\\\n$ (1,011,397) $ (1,756,055) $ (2,599,649) The accompanying notes are\\\",\\\"metadata\\\":{\\\"text\\\":\\\"Lyft, Inc.Consolidated Statements of Comprehensive Loss\\\\n(in thousands) \\\\nYear Ended December 31,\\\\n2021\\\\n2020 2019 Net loss\\\\n$ (1,009,359) $ (1,752,857) $ (2,602,241) Other comprehensive incom\\\\ne (loss)Foreign currency transla\\\\ntion adjustment(931) (2,187) 162 Unrealized gain (loss) on m\\\\narketable securities, net of taxes(1,107) (1,011) 2,430 Other comprehensive incom\\\\ne (loss)(2,038) (3,198) 2,592 Comprehensive loss\\\\n$ (1,011,397) $ (1,756,055) $ (2,599,649) The accompanying notes are\\\",\\\"title\\\":\\\"lyft_2021.pdf\\\",\\\"associatedQuery\\\":\\\"What was Lyft's profit in 2020?\\\"}}\",\"{\\\"fragment_id\\\":\\\"dbd5427c-f5ef-5fa6-83ae-a4a8ddbb48c2\\\",\\\"extraction_id\\\":\\\"14b08757-0819-5105-af37-509686dd6d01\\\",\\\"document_id\\\":\\\"2f576170-c4f9-5141-a910-a0924f341de4\\\",\\\"user_id\\\":\\\"2acb499e-8428-543b-bd85-0d9098718220\\\",\\\"group_ids\\\":[],\\\"score\\\":0.6639652450074329,\\\"text\\\":\\\"Lyft, Inc.Consolidated Balance Sheets\\\\n(in thousands, except for share and per share da\\\\nta) December 31,\\\\n2021\\\\n2020 Assets\\\\nCurrent assets\\\\nCash and cash equivalents\\\\n$ 457,325 $ 319,734 Short-term investments\\\\n1,796,533 1,931,334 Prepaid expenses and other cur\\\\nrent assets522,212 343,070 Total current assets\\\\n2,776,070 2,594,138 Restricted cash and cash equ\\\\nivalents73,205 118,559 Restricted investments\\\\n1,044,855 1,101,712 Other investments\\\\n80,411 10,000 Property and equipment, net\\\",\\\"metadata\\\":{\\\"text\\\":\\\"Lyft, Inc.Consolidated Balance Sheets\\\\n(in thousands, except for share and per share da\\\\nta) December 31,\\\\n2021\\\\n2020 Assets\\\\nCurrent assets\\\\nCash and cash equivalents\\\\n$ 457,325 $ 319,734 Short-term investments\\\\n1,796,533 1,931,334 Prepaid expenses and other cur\\\\nrent assets522,212 343,070 Total current assets\\\\n2,776,070 2,594,138 Restricted cash and cash equ\\\\nivalents73,205 118,559 Restricted investments\\\\n1,044,855 1,101,712 Other investments\\\\n80,411 10,000 Property and equipment, net\\\",\\\"title\\\":\\\"lyft_2021.pdf\\\",\\\"associatedQuery\\\":\\\"What was Lyft's profit in 2020?\\\"}}\",\"{\\\"fragment_id\\\":\\\"ba4bdf94-9b0d-5548-b3b0-b28595c39b2a\\\",\\\"extraction_id\\\":\\\"12cff898-f0fe-59b8-929b-00d3d56fd73d\\\",\\\"document_id\\\":\\\"2f576170-c4f9-5141-a910-a0924f341de4\\\",\\\"user_id\\\":\\\"2acb499e-8428-543b-bd85-0d9098718220\\\",\\\"group_ids\\\":[],\\\"score\\\":0.657470505539123,\\\"text\\\":\\\"Lyft rideshare and fleet data. The Company will receive, in total, approximately $515 million in cash in connection with this transaction, with $165 million paid upfrontand\\\\n $350  million  to  be  paid  over  a  five-year  period.  As  the  transaction  included  multiple  elements,  management  had  to  estimate  how  much  of  the  arrangementconsideration\\\",\\\"metadata\\\":{\\\"text\\\":\\\"Lyft rideshare and fleet data. The Company will receive, in total, approximately $515 million in cash in connection with this transaction, with $165 million paid upfrontand\\\\n $350  million  to  be  paid  over  a  five-year  period.  As  the  transaction  included  multiple  elements,  management  had  to  estimate  how  much  of  the  arrangementconsideration\\\",\\\"title\\\":\\\"lyft_2021.pdf\\\",\\\"associatedQuery\\\":\\\"What was Lyft's profit in 2020?\\\"}}\",\"{\\\"fragment_id\\\":\\\"68519877-163f-545b-a96f-77e2595ef720\\\",\\\"extraction_id\\\":\\\"9e45b68a-e773-5903-a9e7-05f860a05cf5\\\",\\\"document_id\\\":\\\"2f576170-c4f9-5141-a910-a0924f341de4\\\",\\\"user_id\\\":\\\"2acb499e-8428-543b-bd85-0d9098718220\\\",\\\"group_ids\\\":[],\\\"score\\\":0.644272885067888,\\\"text\\\":\\\"Lyft, Inc.Notes to Consolidated Financial Statements\\\\n1. Description of Business and Basis of Presentation\\\\nOrganization and Description of Business\\\\nLyft,\\\\n Inc.  (the  Company  or  Lyft)  is  incorporated  in  Delaware  with  its  headquarters  in  San  Francisco,  California.  The  Company  operates  multimodaltransportation\\\\n networks  in  the  United  States  and  Canada  that  offer  access  to  a  variety  of  transportation  options  through  the  Companys  platform  and  mobile-basedapplications.\\\",\\\"metadata\\\":{\\\"text\\\":\\\"Lyft, Inc.Notes to Consolidated Financial Statements\\\\n1. Description of Business and Basis of Presentation\\\\nOrganization and Description of Business\\\\nLyft,\\\\n Inc.  (the  Company  or  Lyft)  is  incorporated  in  Delaware  with  its  headquarters  in  San  Francisco,  California.  The  Company  operates  multimodaltransportation\\\\n networks  in  the  United  States  and  Canada  that  offer  access  to  a  variety  of  transportation  options  through  the  Companys  platform  and  mobile-basedapplications.\\\",\\\"title\\\":\\\"lyft_2021.pdf\\\",\\\"associatedQuery\\\":\\\"What was Lyft's profit in 2020?\\\"}}\",\"{\\\"fragment_id\\\":\\\"05ddcc28-fd4b-5318-9224-6f2cd3d16c5c\\\",\\\"extraction_id\\\":\\\"7ce2fcae-d65b-5a4c-b45d-dcd87c4df38e\\\",\\\"document_id\\\":\\\"2f576170-c4f9-5141-a910-a0924f341de4\\\",\\\"user_id\\\":\\\"2acb499e-8428-543b-bd85-0d9098718220\\\",\\\"group_ids\\\":[],\\\"score\\\":0.642513496576135,\\\"text\\\":\\\"Lyft, Inc.Consolidated Statements of Cash Flows\\\\n(in thousands)\\\\nYear Ended December 31,\\\\n2021\\\\n2020 2019 Reconciliation of cash, cash equivalents and restricted cash and cash equivalents to the consolidated balance sheets\\\\nCash and cash equivalents\\\\n$ 457,325 $ 319,734 $ 358,319 Restricted cash and cash equivalents\\\\n73,205 118,559 204,976 Restricted cash, included in prepaid expenses and other current \\\\nassets663 192 1,170 Total cash, cash equivalents and restricted cash and cash equivalents\\\",\\\"metadata\\\":{\\\"text\\\":\\\"Lyft, Inc.Consolidated Statements of Cash Flows\\\\n(in thousands)\\\\nYear Ended December 31,\\\\n2021\\\\n2020 2019 Reconciliation of cash, cash equivalents and restricted cash and cash equivalents to the consolidated balance sheets\\\\nCash and cash equivalents\\\\n$ 457,325 $ 319,734 $ 358,319 Restricted cash and cash equivalents\\\\n73,205 118,559 204,976 Restricted cash, included in prepaid expenses and other current \\\\nassets663 192 1,170 Total cash, cash equivalents and restricted cash and cash equivalents\\\",\\\"title\\\":\\\"lyft_2021.pdf\\\",\\\"associatedQuery\\\":\\\"What was Lyft's profit in 2020?\\\"}}\",\"{\\\"fragment_id\\\":\\\"e89d60be-9148-52f1-8907-03187fdd2b65\\\",\\\"extraction_id\\\":\\\"ac9c9f74-c545-586e-8acf-5545cf0864d5\\\",\\\"document_id\\\":\\\"2f576170-c4f9-5141-a910-a0924f341de4\\\",\\\"user_id\\\":\\\"2acb499e-8428-543b-bd85-0d9098718220\\\",\\\"group_ids\\\":[],\\\"score\\\":0.633240878582001,\\\"text\\\":\\\"Lyft,  Inc.  for  the  fiscal  year  ended  December  31,  2021  fully  complies  with  the  requirements  of  Section  13(a)  or  15(d)  of  the  Securities  Exchange  Act  of  1934,  asamended,\\\\n and that the information contained in such Annual Report on Form 10-K fairly presents, in all material respects, the financial condition and results of operationsof Lyft, Inc.\\\\nDate:\\\\nFebruary 28, 2022 By: /s/ Logan Green Name:\\\\nLogan Green Title:\\\\nChief Executive Officer (Principal Executive Officer)\\\\nI, Elaine\\\",\\\"metadata\\\":{\\\"text\\\":\\\"Lyft,  Inc.  for  the  fiscal  year  ended  December  31,  2021  fully  complies  with  the  requirements  of  Section  13(a)  or  15(d)  of  the  Securities  Exchange  Act  of  1934,  asamended,\\\\n and that the information contained in such Annual Report on Form 10-K fairly presents, in all material respects, the financial condition and results of operationsof Lyft, Inc.\\\\nDate:\\\\nFebruary 28, 2022 By: /s/ Logan Green Name:\\\\nLogan Green Title:\\\\nChief Executive Officer (Principal Executive Officer)\\\\nI, Elaine\\\",\\\"title\\\":\\\"lyft_2021.pdf\\\",\\\"associatedQuery\\\":\\\"What was Lyft's profit in 2020?\\\"}}\",\"{\\\"fragment_id\\\":\\\"b230ec93-1003-5382-98e3-15505dc5bdba\\\",\\\"extraction_id\\\":\\\"9f117275-9d93-5b4a-97d8-bb270db8b94e\\\",\\\"document_id\\\":\\\"2f576170-c4f9-5141-a910-a0924f341de4\\\",\\\"user_id\\\":\\\"2acb499e-8428-543b-bd85-0d9098718220\\\",\\\"group_ids\\\":[],\\\"score\\\":0.621775843010894,\\\"text\\\":\\\"PART IItem 1. Business.\\\\nOur Mission\\\\nImprove peoples lives with \\\\nthe worlds best transportation.Overview\\\\nLyft,\\\\n Inc  (the  Company  or  Lyft)  started  a  movement  to  revolutionize  transportation.  In  2012,  we  launched  our  peer-to-peer  marketplace  for  on-demandridesharing\\\\n and have continued to pioneer innovations aligned with our mission. Today, Lyft is one of the largest multimodal transportation networks in the United Statesand Canada.\\\\nWe\\\",\\\"metadata\\\":{\\\"text\\\":\\\"PART IItem 1. Business.\\\\nOur Mission\\\\nImprove peoples lives with \\\\nthe worlds best transportation.Overview\\\\nLyft,\\\\n Inc  (the  Company  or  Lyft)  started  a  movement  to  revolutionize  transportation.  In  2012,  we  launched  our  peer-to-peer  marketplace  for  on-demandridesharing\\\\n and have continued to pioneer innovations aligned with our mission. Today, Lyft is one of the largest multimodal transportation networks in the United Statesand Canada.\\\\nWe\\\",\\\"title\\\":\\\"lyft_2021.pdf\\\",\\\"associatedQuery\\\":\\\"What was Lyft's profit in 2020?\\\"}}\"</search><completion>Lyft did not make a profit in 2020. Instead, the company reported a net loss of $1,752,857,000 for the year ended December 31, 2020 [3], [4].</completion>"
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Consolidated Statements of Cash Flows (in thousands)\\n\\n2021\\n\\nCash flows from operating activities Net loss Adjustments to reconcile net loss to net cash used in operating activities\\n\\n$\\n\\n(1,009,359)\\n\\nDepreciation and amortization Stock-based compensation Amortization of premium on marketable securities Accretion of discount on marketable securities Amortization of debt discount and issuance costs Deferred income tax from convertible senior notes Loss on sale and disposal of assets, net Gain on divestiture Other Changes in operating assets and liabilities, net effects of acquisition\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 572, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 82, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}, {\"fragment_id\": \"0d5c5803-8846-59d4-8ae3-3696b718f162\", \"extraction_id\": \"fa3d2549-593a-5a80-88a2-b2d031d79771\", \"document_id\": \"2f576170-c4f9-5141-a910-a0924f341de4\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6647443571534382, \"text\": \"79\\n\\n2019 3,615,960\\n\\n2,176,469 636,116 1,505,640 814,122 1,186,093 6,318,440 (2,702,480) \\u2014 102,595 (2,599,885) 2,356 (2,602,241)\\n\\n(11.44)\\n\\n227,498\\n\\n81,321 75,212 971,941 72,046 398,791\\n\\nLyft, Inc. Consolidated Statements of Comprehensive Loss (in thousands)\\n\\nNet loss Other comprehensive income (loss)\\n\\n$\\n\\nYear Ended December 31, 2020 (1,752,857) $\\n\\n2021 (1,009,359) $\\n\\nForeign currency translation adjustment Unrealized gain (loss) on marketable securities, net of taxes\\n\\nOther comprehensive income (loss)\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 567, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 79, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}, {\"fragment_id\": \"5d663f0a-c9a9-580f-818b-5ca0a1ca73f2\", \"extraction_id\": \"12916d2c-0691-528c-86aa-6784c1f35c55\", \"document_id\": \"2f576170-c4f9-5141-a910-a0924f341de4\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6628832616140414, \"text\": \"Overview\\n\\nLyft, Inc (the \\u201cCompany\\u201d or \\u201cLyft\\u201d) started a movement to revolutionize transportation. In 2012, we launched our peer-to-peer marketplace for on-demand ridesharing and have continued to pioneer innovations aligned with our mission. Today, Lyft is one of the largest multimodal transportation networks in the United States and Canada.\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 16, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 5, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}, {\"fragment_id\": \"7133acca-f147-5f43-b2e0-71228282fda0\", \"extraction_id\": \"212d8290-564d-5039-93cc-00cea31a1771\", \"document_id\": \"2f576170-c4f9-5141-a910-a0924f341de4\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6603014862717096, \"text\": \"Revenues from Contracts with Customers (ASC 606)\\n\\nWe generate substantially all our revenue from our ridesharing marketplace that connects drivers and riders. We recognize revenue from fees paid by drivers for use of our Lyft Platform offerings in accordance with ASC 606 as described in Note 2 of the notes to our consolidated financial statements. Drivers enter into terms of service (\\u201cToS\\u201d) with us in order to use our Lyft Driver App.\\n\\n58\\n\\n2019 to 2020 % Change\\n\\n19.0% (1.8)% (6.7)% 2.3%\\n\\nWe provide a service to drivers to complete a successful transportation service for riders. This service includes on-demand lead generation that assists drivers to find, receive and fulfill on-demand requests from riders seeking transportation services and related collection activities using our Lyft Platform. As a result, our single performance obligation in the transaction is to connect drivers with riders to facilitate the completion of a successful transportation service for riders.\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 459, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 58, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}, {\"fragment_id\": \"1a76991f-fa85-59b2-b522-700d47b2d809\", \"extraction_id\": \"0773cd62-b39f-517f-b6f1-be788b38374d\", \"document_id\": \"2f576170-c4f9-5141-a910-a0924f341de4\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6477107388714619, \"text\": \"Corporate Information\\n\\nWe were incorporated in 2007 as Bounder Web, Inc., a Delaware corporation. In 2008, we changed our name to Zimride, Inc. We founded Lyft in 2012 and\\n\\nchanged our name to Lyft, Inc. in 2013 when we sold the assets related to our Zimride operations.\\n\\n13\\n\\nAvailable Information\\n\\nOur website is located at www.lyft.com, and our investor relations website is located at investor.lyft.com. Copies of our Annual Report on Form 10-K, Quarterly Reports on Form 10-Q, Current Reports on Form 8-K and amendments to these reports filed or furnished pursuant to Section 13(a) or 15(d) of the Exchange Act, as amended, are available free of charge on our investor relations website as soon as reasonably practicable after we file such material electronically with or furnish it to the Securities and Exchange Commission (the \\u201cSEC\\u201d). The SEC also maintains a website that contains our SEC filings at www.sec.gov.\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 82, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 13, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}, {\"fragment_id\": \"17673edc-6fb7-577d-9bca-457c5745382d\", \"extraction_id\": \"bde94416-baaa-573a-9bc7-86ddf28535b1\", \"document_id\": \"2f576170-c4f9-5141-a910-a0924f341de4\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6406270265579269, \"text\": \"We generate substantially all of our revenue from our ridesharing marketplace that connects drivers and riders. We collect service fees and commissions from drivers for their use of our ridesharing marketplace. As drivers accept more rider leads and complete more rides, we earn more revenue. We also generate revenue from riders renting Light Vehicles, drivers renting vehicles through Express Drive, Lyft Rentals renters, Lyft Driver Center and Lyft Auto Care users, and by making our ridesharing marketplace available to organizations through our Lyft Business offerings, such as our Concierge and Corporate Business Travel programs. In the second quarter of 2021, we began generating revenues from licensing and data access agreements, primarily with third-party autonomous vehicle companies.\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 20, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 5, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}, {\"fragment_id\": \"8f6299b7-4582-5bac-8c74-7ca57714aefa\", \"extraction_id\": \"310e9e1f-25d3-5287-a905-5446f661d6da\", \"document_id\": \"2f576170-c4f9-5141-a910-a0924f341de4\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6394975757149678, \"text\": \"Revenue Recognition\\n\\nThe Company generates its revenue from its multimodal transportation networks that offer access to a variety of transportation options through the Lyft Platform and mobile-based applications. Substantially all of the Company\\u2019s revenue is generated from its ridesharing marketplace that connects drivers and riders and is recognized in accordance with Accounting Standards Codification Topic 606 (\\u201cASC 606\\u201d). In addition, the Company generates revenue in accordance with ASC 606 from licensing and data access, primarily with third-party autonomous vehicle companies. The Company also generates rental revenue from Flexdrive, its network of Light Vehicles and Lyft Rentals, which is recognized in accordance with Accounting Standards Codification Topic 842 (\\u201cASC 842\\u201d).\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 591, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 86, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}, {\"fragment_id\": \"ff837ea0-0062-59ca-bb4f-aa7a1c9cecd0\", \"extraction_id\": \"41e4db8a-0478-5015-8263-cde0618ec626\", \"document_id\": \"2f576170-c4f9-5141-a910-a0924f341de4\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6308713775353904, \"text\": \"Light Vehicle Rider and Lyft Rentals Renter Incentives\\n\\nIncentives offered to Light Vehicle riders and Lyft Rentals renters were not material for the years ended December 31, 2021 and 2020.\\n\\nFor the years ended December 31, 2021, 2020 and 2019, in relation to the driver, rider, Light Vehicle riders and Lyft Rentals renters incentive programs, the Company recorded $1.3 billion, $390.8 million and $560.3 million as a reduction to revenue and $64.7 million, $135.0 million and $381.5 million as sales and marketing expense, respectively.\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 611, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 89, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}, {\"fragment_id\": \"c24d144b-c22d-5c08-876f-a03e43620aa4\", \"extraction_id\": \"2a4caab0-6193-5263-8eab-c7763e8f38e8\", \"document_id\": \"2f576170-c4f9-5141-a910-a0924f341de4\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6295160430381335, \"text\": \"Software Development Costs\\n\\nThe Company incurs costs related to developing the Lyft Platform and related support systems. The Company capitalizes development costs related to the Lyft Platform and related support systems once the preliminary project stage is complete and it is probable that the project will be completed and the software will be used to perform the function intended. The Company capitalized $16.2 million and $12.8 million of software development costs during the year ended December 31, 2021 and 2020, respectively. For the year ended December 31, 2019, capitalized software development costs was not material.\\n\\nInsurance Reserves\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 649, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 94, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}, {\"fragment_id\": \"83985ff5-653f-53eb-b137-f616b4292f51\", \"extraction_id\": \"0919e3d5-03b0-5d54-b5f3-7f6ad4534412\", \"document_id\": \"2f576170-c4f9-5141-a910-a0924f341de4\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6223346365889701, \"text\": \"32.1\\u2020\\n\\nCertifications of Principal Executive Officer and Principal Financial Officer pursuant to 18 U.S.C. Section 1350, as adopted pursuant to Section 906 of the Sarbanes-Oxley Act of 2002.\\n\\n101\\n\\nThe following financial information from Lyft, Inc.\\u2019s Annual Report on Form 10-K for the fiscal year ended December 31, 2021 formatted in Inline XBRL (eXtensible Business Reporting Language): (i) Consolidated Statements of Operations for the fiscal years ended December 31, 2021, 2020 and 2019; (ii) Consolidated Statements of Comprehensive Income (Loss) for the fiscal years ended December 31, 2021, 2020, and 2019; (iii) Consolidated Balance Sheets as of December 31, 2021 and 2020; (iv) Consolidated Statements of Cash Flows for the fiscal years ended December 31, 2021, 2020, and 2019; (v) Consolidated Statements of Redeemable Convertible Preferred Stock and Stockholders\\u2019 Equity for the fiscal years ended December 31, 2021, 2020, and 2019; and (vi) Notes to the Consolidated Financial Statements.\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 817, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 127, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}]</search><completion>Lyft's profit in 2020 was a net loss of $1,752,857,000 [2].</completion>"
             }
           }
         ]
diff --git a/py/tests/regression/expected_outputs/test_user_management.json b/py/tests/regression/expected_outputs/test_user_management.json
index 971498d6e..8ce54e668 100644
--- a/py/tests/regression/expected_outputs/test_user_management.json
+++ b/py/tests/regression/expected_outputs/test_user_management.json
@@ -1,48 +1,48 @@
 {
   "register_user": {
     "results": {
-      "email": "test_72231655@example.com",
-      "id": "f36f0a8a-9f12-5979-9416-1fbb7d28a80b",
-      "group_ids": [],
-      "hashed_password": "$2b$12$uXTZiDl4gRWPueHa1IEC3OCVRsxZFUJjIgOkajwSFDKFzyRcL2ge.",
-      "is_superuser": false,
+      "id": "14466e62-fd0a-5ad3-85b6-6965d7f6d336",
+      "email": "test_4f3ba5b7@example.com",
       "is_active": true,
+      "is_superuser": false,
+      "created_at": "2024-09-20T22:48:31.575356Z",
+      "updated_at": "2024-09-20T22:48:31.575356Z",
       "is_verified": false,
+      "collection_ids": [],
+      "hashed_password": "$2b$12$91hUOrNh1OhZZODomjxa0Oc/hGNUVwxFh45CXXBBOfhQP98y.pvFm",
       "verification_code_expiry": null,
       "name": null,
       "bio": null,
-      "profile_picture": null,
-      "created_at": "2024-08-14T00:26:00.833888Z",
-      "updated_at": "2024-08-14T00:26:00.833888Z"
+      "profile_picture": null
     }
   },
   "login_user": {
     "results": {
       "access_token": {
-        "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJ0ZXN0XzcyMjMxNjU1QGV4YW1wbGUuY29tIiwiZXhwIjoxNzIzNTk4NzYxLjE5OTA1NCwidG9rZW5fdHlwZSI6ImFjY2VzcyJ9.FN2W4wEKQA8X1OLYFVfjUUJ46f6FsZdCjShsYbiIX_o",
+        "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJ0ZXN0XzRmM2JhNWI3QGV4YW1wbGUuY29tIiwiZXhwIjoxNzI2ODc2MTExLjgzOTksInRva2VuX3R5cGUiOiJhY2Nlc3MifQ.vW27WohcKi9ipcTC04i6rSg42ZH8NmnXFYUgfXcGAw0",
         "token_type": "access"
       },
       "refresh_token": {
-        "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJ0ZXN0XzcyMjMxNjU1QGV4YW1wbGUuY29tIiwiZXhwIjoxNzI0MTk5OTYxLCJ0b2tlbl90eXBlIjoicmVmcmVzaCJ9.ZvX9ASi6RZvKSn8O1t-ZDoJm_dgdtcch9EPT9RSvmtY",
+        "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJ0ZXN0XzRmM2JhNWI3QGV4YW1wbGUuY29tIiwiZXhwIjoxNzI3NDc3MzExLCJ0b2tlbl90eXBlIjoicmVmcmVzaCJ9.NUBrdq0PFM8TbDN4EGEefvke07HMLp0T4W6zUbOxt7w",
         "token_type": "refresh"
       }
     }
   },
   "user_info": {
     "results": {
-      "email": "test_72231655@example.com",
-      "id": "f36f0a8a-9f12-5979-9416-1fbb7d28a80b",
-      "group_ids": [],
-      "hashed_password": "$2b$12$uXTZiDl4gRWPueHa1IEC3OCVRsxZFUJjIgOkajwSFDKFzyRcL2ge.",
-      "is_superuser": false,
+      "id": "14466e62-fd0a-5ad3-85b6-6965d7f6d336",
+      "email": "test_4f3ba5b7@example.com",
       "is_active": true,
+      "is_superuser": false,
+      "created_at": "2024-09-20T22:48:31.575356Z",
+      "updated_at": "2024-09-20T22:48:31.575356Z",
       "is_verified": true,
+      "collection_ids": [],
+      "hashed_password": "$2b$12$91hUOrNh1OhZZODomjxa0Oc/hGNUVwxFh45CXXBBOfhQP98y.pvFm",
       "verification_code_expiry": null,
       "name": null,
       "bio": null,
-      "profile_picture": null,
-      "created_at": "2024-08-14T00:26:00.833888Z",
-      "updated_at": "2024-08-14T00:26:00.833888Z"
+      "profile_picture": null
     }
   },
   "change_password": {
@@ -52,29 +52,29 @@
   },
   "update_profile": {
     "results": {
-      "email": "test_72231655@example.com",
-      "id": "f36f0a8a-9f12-5979-9416-1fbb7d28a80b",
-      "group_ids": [],
-      "hashed_password": "null",
-      "is_superuser": false,
+      "id": "14466e62-fd0a-5ad3-85b6-6965d7f6d336",
+      "email": "test_4f3ba5b7@example.com",
       "is_active": true,
+      "is_superuser": false,
+      "created_at": "2024-09-20T22:48:31.575356Z",
+      "updated_at": "2024-09-20T22:48:32.394281Z",
       "is_verified": true,
+      "collection_ids": [],
+      "hashed_password": null,
       "verification_code_expiry": null,
       "name": "John Doe",
       "bio": "R2R enthusiast",
-      "profile_picture": null,
-      "created_at": "2024-08-14T00:26:00.833888Z",
-      "updated_at": "2024-08-14T00:26:01.991559Z"
+      "profile_picture": null
     }
   },
   "refresh_token": {
     "results": {
       "access_token": {
-        "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJ0ZXN0XzcyMjMxNjU1QGV4YW1wbGUuY29tIiwiZXhwIjoxNzIzNTk4NzYyLjEzNDQ1NiwidG9rZW5fdHlwZSI6ImFjY2VzcyJ9.zaXBVSgktzEB1BWrg2W9rsjmTW_uw1tEqHJEJ5diPRs",
+        "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJ0ZXN0XzRmM2JhNWI3QGV4YW1wbGUuY29tIiwiZXhwIjoxNzI2ODc2MTEyLjQyMjYzNywidG9rZW5fdHlwZSI6ImFjY2VzcyJ9.09C6tAMd3WhrEmsqPdFsWx7lxsp0abGSdWGessddSw0",
         "token_type": "access"
       },
       "refresh_token": {
-        "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJ0ZXN0XzcyMjMxNjU1QGV4YW1wbGUuY29tIiwiZXhwIjoxNzI0MTk5OTYyLCJ0b2tlbl90eXBlIjoicmVmcmVzaCJ9.09YDDLWNVPrWJAzFaXai3Kul5RJ7W8iNTKmkq-0y4n4",
+        "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJ0ZXN0XzRmM2JhNWI3QGV4YW1wbGUuY29tIiwiZXhwIjoxNzI3NDc3MzEyLCJ0b2tlbl90eXBlIjoicmVmcmVzaCJ9.yrm_ncSzAScPpdlqYHD2WWhy1AcwuO9CGHcrNLrTNGY",
         "token_type": "refresh"
       }
     }
@@ -83,27 +83,74 @@
     "results": [
       {
         "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "email": "admin@example.com",
+        "is_superuser": true,
+        "is_active": true,
+        "is_verified": true,
+        "created_at": "2024-09-20T22:26:10.261930Z",
+        "updated_at": "2024-09-20T22:26:10.261930Z",
+        "collection_ids": [],
         "num_files": 15,
-        "total_size_in_bytes": 5067615,
+        "total_size_in_bytes": 8767226,
         "document_ids": [
-          "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
-          "716fea3a-826b-5b27-8e59-ffbd1a35455a",
-          "52e12576-090f-59db-91f4-6d4b2e29ae6c",
-          "3e157b3a-8469-51db-90d9-52e7d896b49b",
+          "57eec3df-cf68-5559-a80d-ae3fb55b9af1",
+          "7c1105fc-8f62-5a8f-ac81-fe88f3ec9e4c",
+          "451adbbd-e24e-5c9b-80a8-f424b6c7accb",
           "01d514a4-5cb1-5c86-be8c-0c5c312a02c9",
-          "c3291abf-8a4e-5d9d-80fd-232ef6fd8526",
           "e797da22-8c5d-54e5-bed5-a55954cf6bf9",
-          "7c1105fc-8f62-5a8f-ac81-fe88f3ec9e4c",
-          "2f576170-c4f9-5141-a910-a0924f341de4",
+          "5b1bd54f-4d70-56b9-a017-a618bc75f94c",
           "30f950f0-c692-57c5-b6ec-ff78ccf5ccdc",
-          "57eec3df-cf68-5559-a80d-ae3fb55b9af1",
-          "db02076e-989a-59cd-98d5-e24e15a0bd27",
+          "52e12576-090f-59db-91f4-6d4b2e29ae6c",
+          "7b0f40c5-2ace-5781-ae35-ead99ddee8c5",
+          "c3291abf-8a4e-5d9d-80fd-232ef6fd8526",
           "d421207a-d799-5806-8d67-46b2005b15d4",
-          "451adbbd-e24e-5c9b-80a8-f424b6c7accb",
-          "5b1bd54f-4d70-56b9-a017-a618bc75f94c"
+          "db02076e-989a-59cd-98d5-e24e15a0bd27",
+          "716fea3a-826b-5b27-8e59-ffbd1a35455a",
+          "2f576170-c4f9-5141-a910-a0924f341de4",
+          "3e157b3a-8469-51db-90d9-52e7d896b49b"
         ]
+      },
+      {
+        "user_id": "a0a60c19-7672-5537-a71c-07a771bc4fa3",
+        "email": "test_40669f1c@example.com",
+        "is_superuser": false,
+        "is_active": true,
+        "is_verified": true,
+        "created_at": "2024-09-20T22:48:01.453932Z",
+        "updated_at": "2024-09-20T22:48:01.453932Z",
+        "collection_ids": [],
+        "num_files": 0,
+        "total_size_in_bytes": 0,
+        "document_ids": []
+      },
+      {
+        "user_id": "14466e62-fd0a-5ad3-85b6-6965d7f6d336",
+        "email": "test_4f3ba5b7@example.com",
+        "is_superuser": false,
+        "is_active": true,
+        "is_verified": true,
+        "created_at": "2024-09-20T22:48:31.575356Z",
+        "updated_at": "2024-09-20T22:48:32.394281Z",
+        "collection_ids": [],
+        "num_files": 0,
+        "total_size_in_bytes": 0,
+        "document_ids": []
+      },
+      {
+        "user_id": "a5e4ef83-b9ae-56e0-952b-4116f487b000",
+        "email": "test_c8a21611@example.com",
+        "is_superuser": false,
+        "is_active": true,
+        "is_verified": true,
+        "created_at": "2024-09-20T22:48:14.196002Z",
+        "updated_at": "2024-09-20T22:48:14.196002Z",
+        "collection_ids": [],
+        "num_files": 0,
+        "total_size_in_bytes": 0,
+        "document_ids": []
       }
-    ]
+    ],
+    "total_entries": 4
   },
   "logout": {
     "results": {
@@ -111,6 +158,8 @@
     }
   },
   "delete_account": {
-    "results": "User account deleted successfully"
+    "results": {
+      "message": "User account c8c03ba0-6d1d-524c-be39-7fb6e01b4298 deleted successfully."
+    }
   }
 }
diff --git a/py/tests/regression/observed_outputs/test_document_management.json b/py/tests/regression/observed_outputs/test_document_management.json
new file mode 100644
index 000000000..a916b77ca
--- /dev/null
+++ b/py/tests/regression/observed_outputs/test_document_management.json
@@ -0,0 +1,1024 @@
+{
+  "ingest_sample_files": {
+    "results": [
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "234d5f77-3a09-4ee4-873b-dc97db81afe8",
+        "document_id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa"
+      },
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "e361567a-cc8f-47be-914a-0e07286fa3bb",
+        "document_id": "716fea3a-826b-5b27-8e59-ffbd1a35455a"
+      },
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "327685d0-ef5f-4405-a522-bdf8cfc79789",
+        "document_id": "52e12576-090f-59db-91f4-6d4b2e29ae6c"
+      },
+      {
+        "message": "Ingestion task queued successfully.",
+        "task_id": "965b2b3f-74aa-4a39-9c36-ab1aad27fb25",
+        "document_id": "3e157b3a-8469-51db-90d9-52e7d896b49b"
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+        "updated_at": "2024-09-20T22:55:14.533120Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "db02076e-989a-59cd-98d5-e24e15a0bd27",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "txt",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "aristotle.txt",
+        "version": "v0",
+        "size_in_bytes": 97804,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:09.476022Z",
+        "updated_at": "2024-09-20T22:55:14.531133Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "d421207a-d799-5806-8d67-46b2005b15d4",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "txt",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "yc_companies.txt",
+        "version": "v0",
+        "size_in_bytes": 62948,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:09.471883Z",
+        "updated_at": "2024-09-20T22:55:14.531772Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "30f950f0-c692-57c5-b6ec-ff78ccf5ccdc",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "txt",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "test.txt",
+        "version": "v0",
+        "size_in_bytes": 28,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:09.470416Z",
+        "updated_at": "2024-09-20T22:55:14.536782Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "2f576170-c4f9-5141-a910-a0924f341de4",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "pdf",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "lyft_2021.pdf",
+        "version": "v0",
+        "size_in_bytes": 1920404,
+        "ingestion_status": "parsing",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:09.469252Z",
+        "updated_at": "2024-09-20T22:55:14.569269Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "7c1105fc-8f62-5a8f-ac81-fe88f3ec9e4c",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "html",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "pg_essay_5.html",
+        "version": "v0",
+        "size_in_bytes": 165040,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:09.465810Z",
+        "updated_at": "2024-09-20T22:55:12.531882Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "7b0f40c5-2ace-5781-ae35-ead99ddee8c5",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "pdf",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "graphrag.pdf",
+        "version": "v0",
+        "size_in_bytes": 2287544,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:09.455913Z",
+        "updated_at": "2024-09-20T22:55:12.517199Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "e797da22-8c5d-54e5-bed5-a55954cf6bf9",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "html",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "pg_essay_4.html",
+        "version": "v0",
+        "size_in_bytes": 157484,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:07.036336Z",
+        "updated_at": "2024-09-20T22:55:12.484462Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "c3291abf-8a4e-5d9d-80fd-232ef6fd8526",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "txt",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "aristotle_v2.txt",
+        "version": "v0",
+        "size_in_bytes": 3380,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:05.565359Z",
+        "updated_at": "2024-09-20T22:55:12.516690Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "01d514a4-5cb1-5c86-be8c-0c5c312a02c9",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "mp3",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "sample2.mp3",
+        "version": "v0",
+        "size_in_bytes": 96608,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:04.622762Z",
+        "updated_at": "2024-09-20T22:55:12.486232Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "3e157b3a-8469-51db-90d9-52e7d896b49b",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "pdf",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "uber_2021.pdf",
+        "version": "v0",
+        "size_in_bytes": 2507312,
+        "ingestion_status": "parsing",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:04.211252Z",
+        "updated_at": "2024-09-20T22:55:12.509328Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "52e12576-090f-59db-91f4-6d4b2e29ae6c",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "mp3",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "sample.mp3",
+        "version": "v0",
+        "size_in_bytes": 162228,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:02.699362Z",
+        "updated_at": "2024-09-20T22:55:10.516462Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "b4ac4dd6-5f27-596e-a55b-7cf242ca30aa",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "html",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "pg_essay_1.html",
+        "version": "v0",
+        "size_in_bytes": 175340,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:02.517969Z",
+        "updated_at": "2024-09-20T22:55:10.518388Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "716fea3a-826b-5b27-8e59-ffbd1a35455a",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "txt",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "got.txt",
+        "version": "v0",
+        "size_in_bytes": 12656,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:02.516278Z",
+        "updated_at": "2024-09-20T22:55:10.519709Z",
+        "ingestion_attempt_number": null
+      }
+    ],
+    "total_entries": 16
+  },
+  "delete_document_test": {
+    "results": {}
+  },
+  "rerun_documents_overview_test_2": {
+    "results": [
+      {
+        "id": "5b1bd54f-4d70-56b9-a017-a618bc75f94c",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "html",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "pg_essay_3.html",
+        "version": "v0",
+        "size_in_bytes": 166556,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:10.456776Z",
+        "updated_at": "2024-09-20T22:55:14.529464Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "451adbbd-e24e-5c9b-80a8-f424b6c7accb",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "png",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "screen_shot.png",
+        "version": "v0",
+        "size_in_bytes": 1055688,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:10.445592Z",
+        "updated_at": "2024-09-20T22:55:14.539605Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "57eec3df-cf68-5559-a80d-ae3fb55b9af1",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "html",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "pg_essay_2.html",
+        "version": "v0",
+        "size_in_bytes": 166816,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:09.506868Z",
+        "updated_at": "2024-09-20T22:55:14.533120Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "db02076e-989a-59cd-98d5-e24e15a0bd27",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "txt",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "aristotle.txt",
+        "version": "v0",
+        "size_in_bytes": 97804,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:09.476022Z",
+        "updated_at": "2024-09-20T22:55:14.531133Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "d421207a-d799-5806-8d67-46b2005b15d4",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "txt",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "yc_companies.txt",
+        "version": "v0",
+        "size_in_bytes": 62948,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:09.471883Z",
+        "updated_at": "2024-09-20T22:55:14.531772Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "30f950f0-c692-57c5-b6ec-ff78ccf5ccdc",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "txt",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "test.txt",
+        "version": "v0",
+        "size_in_bytes": 28,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:09.470416Z",
+        "updated_at": "2024-09-20T22:55:14.536782Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "2f576170-c4f9-5141-a910-a0924f341de4",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "pdf",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "lyft_2021.pdf",
+        "version": "v0",
+        "size_in_bytes": 1920404,
+        "ingestion_status": "parsing",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:09.469252Z",
+        "updated_at": "2024-09-20T22:55:14.569269Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "7c1105fc-8f62-5a8f-ac81-fe88f3ec9e4c",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "html",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "pg_essay_5.html",
+        "version": "v0",
+        "size_in_bytes": 165040,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:09.465810Z",
+        "updated_at": "2024-09-20T22:55:12.531882Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "7b0f40c5-2ace-5781-ae35-ead99ddee8c5",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "pdf",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "graphrag.pdf",
+        "version": "v0",
+        "size_in_bytes": 2287544,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:09.455913Z",
+        "updated_at": "2024-09-20T22:55:12.517199Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "e797da22-8c5d-54e5-bed5-a55954cf6bf9",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "html",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "pg_essay_4.html",
+        "version": "v0",
+        "size_in_bytes": 157484,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:07.036336Z",
+        "updated_at": "2024-09-20T22:55:12.484462Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "c3291abf-8a4e-5d9d-80fd-232ef6fd8526",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "txt",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "aristotle_v2.txt",
+        "version": "v0",
+        "size_in_bytes": 3380,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:05.565359Z",
+        "updated_at": "2024-09-20T22:55:12.516690Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "01d514a4-5cb1-5c86-be8c-0c5c312a02c9",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "mp3",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "sample2.mp3",
+        "version": "v0",
+        "size_in_bytes": 96608,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:04.622762Z",
+        "updated_at": "2024-09-20T22:55:12.486232Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "3e157b3a-8469-51db-90d9-52e7d896b49b",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "pdf",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "uber_2021.pdf",
+        "version": "v0",
+        "size_in_bytes": 2507312,
+        "ingestion_status": "parsing",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:04.211252Z",
+        "updated_at": "2024-09-20T22:55:12.509328Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "52e12576-090f-59db-91f4-6d4b2e29ae6c",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "mp3",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "sample.mp3",
+        "version": "v0",
+        "size_in_bytes": 162228,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:02.699362Z",
+        "updated_at": "2024-09-20T22:55:10.516462Z",
+        "ingestion_attempt_number": null
+      },
+      {
+        "id": "716fea3a-826b-5b27-8e59-ffbd1a35455a",
+        "collection_ids": [],
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "type": "txt",
+        "metadata": {
+          "version": "v0"
+        },
+        "title": "got.txt",
+        "version": "v0",
+        "size_in_bytes": 12656,
+        "ingestion_status": "success",
+        "restructuring_status": "pending",
+        "created_at": "2024-09-20T22:50:02.516278Z",
+        "updated_at": "2024-09-20T22:55:10.519709Z",
+        "ingestion_attempt_number": null
+      }
+    ],
+    "total_entries": 15
+  },
+  "rerun_document_chunks_test": {
+    "results": "{\"detail\":{\"message\":\"An error 'list index out of range' occurred during document_chunks_app\",\"error\":\"list index out of range\",\"error_type\":\"IndexError\"}}"
+  }
+}
diff --git a/py/tests/regression/observed_outputs/test_group_management.json b/py/tests/regression/observed_outputs/test_group_management.json
new file mode 100644
index 000000000..195daa6fc
--- /dev/null
+++ b/py/tests/regression/observed_outputs/test_group_management.json
@@ -0,0 +1,20 @@
+{
+  "create_groups": {
+    "error": "'R2RClient' object has no attribute 'create_group'"
+  },
+  "add_users_to_groups": {
+    "error": "'R2RClient' object has no attribute 'add_user_to_group'"
+  },
+  "group_based_document_access": {
+    "error": "'TestGroupManagement' object has no attribute 'group_id_1'"
+  },
+  "admin_ingest_documents": {
+    "error": "'TestGroupManagement' object has no attribute 'group_id_1'"
+  },
+  "user_ingest_and_search": {
+    "error": "'TestGroupManagement' object has no attribute 'group_id_1'"
+  },
+  "cleanup": {
+    "error": "'R2RClient' object has no attribute 'delete_group'"
+  }
+}
diff --git a/py/tests/regression/observed_outputs/test_observability.json b/py/tests/regression/observed_outputs/test_observability.json
new file mode 100644
index 000000000..458eeb497
--- /dev/null
+++ b/py/tests/regression/observed_outputs/test_observability.json
@@ -0,0 +1,1214 @@
+{
+  "users_overview": {
+    "results": [
+      {
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "email": "admin@example.com",
+        "is_superuser": true,
+        "is_active": true,
+        "is_verified": true,
+        "created_at": "2024-09-20T22:49:55.902324Z",
+        "updated_at": "2024-09-20T22:49:55.902324Z",
+        "collection_ids": [],
+        "num_files": 15,
+        "total_size_in_bytes": 8862496,
+        "document_ids": [
+          "3e157b3a-8469-51db-90d9-52e7d896b49b",
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These increases were offset by investments in driver supply by increasing driver incentives recorded as a reduction to revenue by $942.9 million in 2021 as compared to the prior year as rider demand outpaced driver supply during certain periods of the pandemic recovery in 2021. Revenue in 2020 was also higher in the first quarter of 2020 prior to the implementation of shelter-in-place orders and other travel restrictions across North America beginning March 2020.\\n\\nWe expect to see continued recovery in demand for our platform and the resulting positive impacts on revenue as there are more widespread immunity levels, more communities reopen and other restrictive travel and social distancing measures in response to COVID-19 are eased. However, we cannot predict the impact of COVID variants and the longer term impact of the pandemic on consumer behavior.\\n\\nCost of Revenue\\n\\n2021\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 493, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 63, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Uber's profit in 2020?\"}}, {\"fragment_id\": \"d5379124-e7ff-509f-b47f-a79152eec2d4\", \"extraction_id\": \"2562b865-e4df-5376-9e70-927be9afbb7e\", \"document_id\": \"3e157b3a-8469-51db-90d9-52e7d896b49b\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.63012705682194, \"text\": \"For additional discussion, see the risk factor titled \\u201c\\u2014If we are unable to attract or maintain a critical mass of Drivers, consumers, merchants, shippers, and carriers, whether as a result of competition or other factors, our platform will become less appealing to platform users, and our financial results would be adversely impacted.\\u201d included in Part I, Item 1A of this Annual Report on Form 10-K as well our 2021 ESG Report and our 2021 People and Culture Report. The information in these reports is not a part of this Form 10-K.\\n\\nAdditional Information\\n\\nWe were founded in 2009 and incorporated as Ubercab, Inc., a Delaware corporation, in July 2010. In February 2011, we changed our name to Uber\\n\\nTechnologies, Inc. Our principal executive offices are located at 1515 3rd Street, San Francisco, California 94158, and our telephone number is (415) 612-8582.\\n\\n10\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 77, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 12, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Uber's profit in 2020?\"}}, {\"fragment_id\": \"98a93be5-13ba-5bd6-9a18-e7ceef0fae88\", \"extraction_id\": \"8ab931e3-8f47-5598-90b8-928f387ec256\", \"document_id\": \"3e157b3a-8469-51db-90d9-52e7d896b49b\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6285917009601995, \"text\": \"Uber Technologies, Inc. (\\u201cUber,\\u201d \\u201cwe,\\u201d \\u201cour,\\u201d or \\u201cus\\u201d) was incorporated in Delaware in July 2010, and is headquartered in San Francisco, California. 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Riders and Eaters are collectively referred to as \\u201cend-user(s)\\u201d or \\u201cconsumer(s).\\u201d Mobility Drivers and Couriers are collectively referred to as \\u201cDriver(s).\\u201d Uber also connects consumers with public\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 592, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 84, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Uber's profit in 2020?\"}}, {\"fragment_id\": \"d87084d1-c52a-5a4b-96ad-9fc1cb98bfc5\", \"extraction_id\": \"8361bf60-bce2-56c2-b982-376a75e47d58\", \"document_id\": \"3e157b3a-8469-51db-90d9-52e7d896b49b\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6283430678639979, \"text\": \"Year Ended December 31, 2020\\n\\n1,000 49 1,189 (27) \\u2014 (138) (34) 8,939 (4) 3,824\\n\\n247 125 2,628 (527) (891) (224) 38 1,379 (92) (4,327)\\n\\n8,209 34 12,067 $\\n\\n12,067 (349) 7,391 $\\n\\n332 $ 133\\n\\n412 $ 82\\n\\n14,224 4,229 \\u2014 251 9 \\u2014 \\u2014\\n\\n\\u2014 \\u2014 \\u2014 196 3,898 171 1,634\\n\\n2021\\n\\n675 107 1,484 (27) (307) (226) 101 1,780 (69) 65\\n\\n7,391 349 7,805\\n\\n449 87\\n\\n\\u2014 \\u2014 232 184 1,868 1,018 \\u2014\\n\\nUBER TECHNOLOGIES, INC.\\n\\nNOTES TO CONSOLIDATED FINANCIAL STATEMENTS\\n\\nNote 1 \\u2013 Description of Business and Summary of Significant Accounting Policies\\n\\nDescription of Business\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 591, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 83, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Uber's profit in 2020?\"}}], \"kg_search_results\": null}, \"llm_response\": {\"id\": \"chatcmpl-A9ggzDgzYQ95KymrEhTFz9JMYfqRu\", \"choices\": [{\"finish_reason\": \"stop\", \"index\": 0, \"logprobs\": null, \"message\": {\"content\": \"Uber did not make a profit in 2020. 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These increases were offset by investments in driver supply by increasing driver incentives recorded as a reduction to revenue by $942.9 million in 2021 as compared to the prior year as rider demand outpaced driver supply during certain periods of the pandemic recovery in 2021. Revenue in 2020 was also higher in the first quarter of 2020 prior to the implementation of shelter-in-place orders and other travel restrictions across North America beginning March 2020.\\n\\nWe expect to see continued recovery in demand for our platform and the resulting positive impacts on revenue as there are more widespread immunity levels, more communities reopen and other restrictive travel and social distancing measures in response to COVID-19 are eased. 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The information in these reports is not a part of this Form 10-K.\\n\\nAdditional Information\\n\\nWe were founded in 2009 and incorporated as Ubercab, Inc., a Delaware corporation, in July 2010. In February 2011, we changed our name to Uber\\n\\nTechnologies, Inc. Our principal executive offices are located at 1515 3rd Street, San Francisco, California 94158, and our telephone number is (415) 612-8582.\\n\\n10\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 77, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 12, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Uber's profit in 2020?\"}}, {\"fragment_id\": \"98a93be5-13ba-5bd6-9a18-e7ceef0fae88\", \"extraction_id\": \"8ab931e3-8f47-5598-90b8-928f387ec256\", \"document_id\": \"3e157b3a-8469-51db-90d9-52e7d896b49b\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6285917009601995, \"text\": \"Uber Technologies, Inc. (\\u201cUber,\\u201d \\u201cwe,\\u201d \\u201cour,\\u201d or \\u201cus\\u201d) was incorporated in Delaware in July 2010, and is headquartered in San Francisco, California. 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Fmr Google, Fmr Nasa, named one of Business Insider's Top 75 Designers in Technology. BFA from RISD.\\n\\n[Tom Hallaran]( CTO. Fmr Director US AI Center of Excellence, Fmr VP of engineering at acquired adtech startup Selectable Media, Initial technical lead and architect of the largest political payment app in US. 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+            "timestamp": "2024-09-19 01:53:45"
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+}
diff --git a/py/tests/regression/observed_outputs/test_retrieval.json b/py/tests/regression/observed_outputs/test_retrieval.json
new file mode 100644
index 000000000..8ea8e66f9
--- /dev/null
+++ b/py/tests/regression/observed_outputs/test_retrieval.json
@@ -0,0 +1,640 @@
+{
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+          "document_id": "3e157b3a-8469-51db-90d9-52e7d896b49b",
+          "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+          "collection_ids": [],
+          "score": 0.23822619091116293,
+          "text": "Finance Leases\n\n2022 2023 2024 2025 2026 Thereafter Total undiscounted lease payments Less: imputed interest\n\n$\n\n280 $ 312 264 214 198 2,067 3,335 (1,506) 1,829 $\n\n140 60 34 9 \u2014 1 244 (10) 234\n\nTotal lease liabilities\n\n$\n\nAs of December 31, 2021, we had additional operating leases and finance leases, primarily for corporate offices and servers, that have not yet commenced of $421 million and $19 million, respectively. These operating and finance leases will commence between fiscal year 2022 and fiscal year 2023 with lease terms of 2 years to 13 years.\n\nMission Bay 1 & 2\n\nIn 2015, we entered into a joint venture (\u201cJV\u201d) agreement with a real estate developer (\u201cJV Partner\u201d) to develop land (\u201cthe Land\u201d) in San Francisco to construct our new headquarters (the \u201cHeadquarters\u201d). The Headquarters consists of two adjacent office buildings totaling approximately 423,000 rentable square feet. In connection with the JV arrangement, we acquired a 49% interest in the JV, the principal asset of which was the Land.",
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+          "text": "(c)\n\nCommuting and Corporate Housing Expenses. During your Employment, the Company shall cover the cost of your reasonable and substantiated expenses for travel between your primary residence and the Company\u2019s headquarters in San Francisco and corporate housing in the San Francisco Bay Area, up to a pre-tax maximum of $200,000 per year in the aggregate. All expense reimbursements shall be made in accordance with the Company\u2019s expense reimbursement policy.\n\n(d)",
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+          "text": "45-2647441 (I.R.S. Employer Identification No.)\n\n1515 3rd Street San Francisco, California 94158 (Address of principal executive offices, including zip code) (415) 612-8582 (Registrant\u2019s telephone number, including area code) ____________________________________________\n\nSecurities registered pursuant to Section 12(b) of the Act:\n\nTitle of each class Common Stock, par value $0.00001 per share",
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+          "text": "Item 2. Properties.\n\nOur corporate headquarters are located in San Francisco, California, and consist of approximately 420,000 square feet under lease agreements through May 31,\n\n2030. We maintain additional offices in multiple locations in the U.S. and internationally in Montreal, Canada, Munich, Germany and Minsk, Belarus.\n\nWe lease all of our facilities and do not own any real property. We believe our facilities are adequate and suitable for our current needs and that, should it be\n\nneeded, suitable additional or alternative space will be available to accommodate our operations.\n\n53\n\nItem 3. Legal Proceedings.\n\nSee discussion under the heading Legal Proceedings in Note 9 to the consolidated financial statements included in Part II, Item 8 of this report.\n\nItem 4. Mine Safety Disclosures.\n\nNot applicable.\n\n54\n\nPART II\n\nItem 5. Market for Registrant\u2019s Common Equity, Related Stockholder Matters and Issuer Purchases of Equity Securities.",
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+          "text": "Property and equipment, net\n\n$\n\nWe capitalized $76 million and $55 million in internal-use software costs during the years ended December 31, 2020 and 2021, respectively, which is included in property and equipment, net on the consolidated balance sheets. Amortization of capitalized software development costs was $22 million, $55 million, and $69 million for the years ended December 31, 2019, 2020 and 2021, respectively.\n\nAmounts in construction in progress represent buildings, leasehold improvements, assets under construction, and other assets not placed in service.",
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+          "text": "\u201cCanadian BA Rate Borrowing\u201d refers to a Borrowing bearing interest at a rate determined by reference to the Canadian BA Rate.\n\n10\n\n\u201cCanadian BA Rate Loan\u201d refers to a Loan bearing interest at a rate determined by reference to the Canadian BA Rate.\n\n\u201cCanadian Dollars\u201d means the lawful currency of Canada.\n\n\u201cCapital Lease Obligations\u201d of any Person means the obligations of such Person to pay rent or other amounts under any lease of (or",
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+          "text": "principal payments on finance lease obligations for $35.5 million.\n\nCash provided by financing activities was $512.6 million for the year ended December 31, 2020, which primarily consisted of proceeds from issuance of our 2025\n\nNotes of $734.1 million offset by the purchase of the Capped Calls for $132.7 million.\n\nLiquidity and Capital Resources",
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+          "text": "Depreciation and Amortization\n\nDepreciation and amortization expenses primarily consist of depreciation on buildings, site improvements, computer and network equipment, software, leasehold improvements, furniture and fixtures, and amortization of intangible assets. Depreciation includes expenses associated with buildings, site improvements, computer and network equipment, leased vehicles, and furniture, fixtures, as well as leasehold improvements. Amortization includes expenses associated with our capitalized internal-use software and acquired intangible assets.\n\nAs our business recovers from the impacts of COVID-19, we would anticipate depreciation and amortization expenses to increase as we continue to build out\n\nour network infrastructure and building locations.",
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+          "text": "Our future capital requirements will depend on many factors, including, but not limited to our growth, our ability to maintain profitability on an Adjusted EBITDA basis, our ability to attract and retain drivers and riders on our platform, the continuing market acceptance of our offerings, the timing and extent of spending to support our efforts to develop our platform, actual insurance payments for which we have made reserves, measures we take in response to the COVID-19 pandemic, our ability to maintain demand for and confidence in the safety of our platform during and following the COVID-19 pandemic, and the expansion of sales and marketing activities. As noted above, we expect to see continued suppression of demand for our platform and the resultant negative impacts on revenue for so long as the travel restrictions and other social distancing measures in response to COVID-19 remain in place. Further, we may in the future enter into arrangements to acquire or invest in businesses, products, services and",
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+          "text": "(1)\n\n(2)\n\nFor the year ended December 31, 2019, the increase in the valuation allowance was primarily attributable to a step-up in the tax basis of intellectual property rights, an increase in U.S. federal, state and Netherlands deferred tax assets resulting from the loss from operations, and tax credits generated during the year.\n\nFor the year ended December 31, 2020, the increase in the valuation allowance was primarily attributable to an increase in tax rate in Netherlands, an increase\n\nin U.S. federal, state and Netherlands deferred tax assets resulting from the loss from operations, and tax credits generated during the year.",
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+              "content": "Uber's profit in 2020 was actually a net loss. The net loss attributable to Uber Technologies, Inc. for the year ended December 31, 2020, was $6.8 billion [3].",
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+            "text": "Revenue was $17.5 billion, or up 57% year-over-year, reflecting the overall growth in our Delivery business and an increase in Freight revenue attributable to the acquisition of Transplace in the fourth quarter of 2021 as well as growth in the number of shippers and carriers on the network combined with an increase in volumes with our top shippers.\n\nNet loss attributable to Uber Technologies, Inc. was $496 million, a 93% improvement year-over-year, driven by a $1.6 billion pre-tax gain on the sale of our ATG Business to Aurora, a $1.6 billion pre-tax net benefit relating to Uber\u2019s equity investments, as well as reductions in our fixed cost structure and increased variable cost efficiencies. Net loss attributable to Uber Technologies, Inc. also included $1.2 billion of stock-based compensation expense.",
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+            "text": "Total costs and expenses Loss from operations\n\nInterest expense Other income (expense), net Loss before income taxes and loss from equity method investments Provision for (benefit from) income taxes Loss from equity method investments Net loss including non-controlling interests\n\nLess: net loss attributable to non-controlling interests, net of tax\n\n100 %\n\n46 % 16 % 32 % 20 % 24 % 5 % 144 % (44)% (4)% (15)% (62)% (2)% \u2014 % (61)% \u2014 % (61)%\n\n100 %\n\n54 % 11 % 27 % 12 % 13 % 5 % 122 % (22)% (3)% 19 % (6)% (3)% \u2014 % (3)% \u2014 % (3)%\n\nNet loss attributable to Uber Technologies, Inc.\n\n(1)\n\nTotals of percentage of revenues may not foot due to rounding.\n\nComparison of the Years Ended December 31, 2020 and 2021\n\nRevenue\n\nYear Ended December 31,\n\n(In millions, except percentages)\n\n2020\n\n2021\n\n2020 to 2021 % Change\n\nRevenue\n\n$\n\n11,139 $\n\n17,455\n\n57 %",
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+            "text": "Year Ended December 31, 2020\n\nRevenue Costs and expenses Cost of revenue, exclusive of depreciation and amortization shown separately below Operations and support Sales and marketing Research and development General and administrative Depreciation and amortization\n\nTotal costs and expenses Loss from operations\n\nInterest expense Other income (expense), net Loss before income taxes and loss from equity method investments Provision for (benefit from) income taxes Loss from equity method investments Net loss including non-controlling interests\n\nLess: net loss attributable to non-controlling interests, net of tax\n\n$\n\n13,000 $\n\n6,061 2,302 4,626 4,836 3,299 472 21,596 (8,596) (559) 722 (8,433) 45 (34) (8,512) (6) (8,506) $\n\n11,139 $\n\n5,154 1,819 3,583 2,205 2,666 575 16,002 (4,863) (458) (1,625) (6,946) (192) (34) (6,788) (20) (6,768) $\n\nNet loss attributable to Uber Technologies, Inc. Net loss per share attributable to Uber Technologies, Inc. common stockholders:\n\n$\n\nBasic\n\n$\n\n(6.81) $\n\n(3.86) $",
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+            "extraction_id": "6b86ac2f-ce33-5126-83e6-a8731ea677c8",
+            "document_id": "3e157b3a-8469-51db-90d9-52e7d896b49b",
+            "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+            "collection_ids": [],
+            "score": 0.6805637085605776,
+            "text": "Less: net loss attributable to non-controlling interests, net of tax\n\n$\n\n11,139 $\n\n5,154 1,819 3,583 2,205 2,666 575 16,002 (4,863) (458) (1,625) (6,946) (192) (34) (6,788) (20) (6,768) $\n\n17,455\n\n9,351 1,877 4,789 2,054 2,316 902 21,289 (3,834) (483) 3,292 (1,025) (492) (37) (570) (74) (496)\n\nNet loss attributable to Uber Technologies, Inc.\n\n$\n\n54\n\nThe following table sets forth the components of our consolidated statements of operations for each of the periods presented as a percentage of revenue\n\n(1)\n\n:\n\nYear Ended December 31, 2021 2020\n\nRevenue Costs and expenses Cost of revenue, exclusive of depreciation and amortization shown separately below Operations and support Sales and marketing Research and development General and administrative Depreciation and amortization",
+            "metadata": {
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+            "text": "The Uber Service activities are performed to satisfy our sole performance obligation in the transaction, which is to connect Drivers and Merchants with end-\n\nusers to facilitate the completion of a successful transaction.\n\nIn 2020, we began charging Mobility end-users a fee to use the platform in certain markets. In these transactions, in addition to a performance obligation to Drivers, we also have a performance obligation to end-users, which is to connect end-users to Drivers in the marketplace. We recognize revenue when a trip is complete. We present revenue on a net basis for these transactions, as we do not control the service provided by Drivers to end-users. For the years ended December 31, 2020 and 2021, we recognized total revenue of $323 million and $336 million, respectively, associated with these fees charged to end-users.",
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+            "text": "Other income (expense), net\n\n$\n\nDuring the year ended December 31, 2020, gain on business divestitures, net represented a $154 million gain on the sale of our Uber Eats India operations to Zomato recognized in the first quarter of 2020 and a $77 million gain on the sale of our European Freight Business to sennder GmbH (\u201cSennder\u201d) recognized in the fourth quarter of 2020, partially offset by a $27 million loss on the sale of our JUMP operations to Lime recognized in the second quarter of 2020.\n\n(1)\n\nDuring the year ended December 31, 2021, gain on business divestitures, net represented a $1.6 billion gain on the sale of our ATG Business to Aurora",
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+            "text": "2019\n\n100.0 %\n\n60.2 17.6 41.6 22.5 32.8 174.7 (74.7) \u2014 2.8 (71.9) 0.1 (72.0)%\n\n2019 to 2020 % Change\n\n(35) %\n\nsecond quarter of 2021. These increases were offset by investments in driver supply by increasing driver incentives recorded as a reduction to revenue by $942.9 million in 2021 as compared to the prior year as rider demand outpaced driver supply during certain periods of the pandemic recovery in 2021. Revenue in 2020 was also higher in the first quarter of 2020 prior to the implementation of shelter-in-place orders and other travel restrictions across North America beginning March 2020.\n\nWe expect to see continued recovery in demand for our platform and the resulting positive impacts on revenue as there are more widespread immunity levels, more communities reopen and other restrictive travel and social distancing measures in response to COVID-19 are eased. However, we cannot predict the impact of COVID variants and the longer term impact of the pandemic on consumer behavior.\n\nCost of Revenue\n\n2021",
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+            "text": "For additional discussion, see the risk factor titled \u201c\u2014If we are unable to attract or maintain a critical mass of Drivers, consumers, merchants, shippers, and carriers, whether as a result of competition or other factors, our platform will become less appealing to platform users, and our financial results would be adversely impacted.\u201d included in Part I, Item 1A of this Annual Report on Form 10-K as well our 2021 ESG Report and our 2021 People and Culture Report. The information in these reports is not a part of this Form 10-K.\n\nAdditional Information\n\nWe were founded in 2009 and incorporated as Ubercab, Inc., a Delaware corporation, in July 2010. In February 2011, we changed our name to Uber\n\nTechnologies, Inc. Our principal executive offices are located at 1515 3rd Street, San Francisco, California 94158, and our telephone number is (415) 612-8582.\n\n10",
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+            "text": "Uber Technologies, Inc. (\u201cUber,\u201d \u201cwe,\u201d \u201cour,\u201d or \u201cus\u201d) was incorporated in Delaware in July 2010, and is headquartered in San Francisco, California. Uber is a technology platform that uses a massive network, leading technology, operational excellence and product expertise to power movement from point A to point B. Uber develops and operates proprietary technology applications supporting a variety of offerings on its platform (\u201cplatform(s)\u201d or \u201cPlatform(s)\u201d). Uber connects consumers (\u201cRider(s)\u201d) with independent providers of ride services (\u201cMobility Driver(s)\u201d) for ridesharing services, and connects Riders and other consumers (\u201cEaters\u201d) with restaurants, grocers and other stores (collectively, \u201cMerchants\u201d) with delivery service providers (\u201cCouriers\u201d) for meal preparation, grocery and other delivery services. Riders and Eaters are collectively referred to as \u201cend-user(s)\u201d or \u201cconsumer(s).\u201d Mobility Drivers and Couriers are collectively referred to as \u201cDriver(s).\u201d Uber also connects consumers with public",
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+            "text": "Year Ended December 31, 2020\n\n1,000 49 1,189 (27) \u2014 (138) (34) 8,939 (4) 3,824\n\n247 125 2,628 (527) (891) (224) 38 1,379 (92) (4,327)\n\n8,209 34 12,067 $\n\n12,067 (349) 7,391 $\n\n332 $ 133\n\n412 $ 82\n\n14,224 4,229 \u2014 251 9 \u2014 \u2014\n\n\u2014 \u2014 \u2014 196 3,898 171 1,634\n\n2021\n\n675 107 1,484 (27) (307) (226) 101 1,780 (69) 65\n\n7,391 349 7,805\n\n449 87\n\n\u2014 \u2014 232 184 1,868 1,018 \u2014\n\nUBER TECHNOLOGIES, INC.\n\nNOTES TO CONSOLIDATED FINANCIAL STATEMENTS\n\nNote 1 \u2013 Description of Business and Summary of Significant Accounting Policies\n\nDescription of Business",
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+            "text": "Eddard (Ned) Stark\n\nThe Lord of Winterfell and new Hand of the King. A devoted father and dutiful lord, he is best characterized by his strong sense of honor, and he strives to always do what is right, regardless of his personal feelings.\n\nCatelyn (Cat) Tully\n\nNed\u2019s wife and Lady Stark of Winterfell. She is intelligent, strong, and fiercely devoted to her family, leading her to seek out the person responsible for trying to kill her son Bran.\n\nDaenerys Stormborn Targaryen\n\nThe Dothraki khaleesi (queen) and Targaryen princess. She and her brother are the only surviving members of the Targaryen family, and she grows from a frightened girl to a confident ruler, while still maintaining her kindness, over the course of the novel.\n\nJon Snow\n\nNed Stark\u2019s bastard son. Since Catelyn is not his mother, he is not a proper member of the Stark family, and he often feels himself an outsider. He is also a highly capable swordsman and thinker, with a knack for piercing observations.",
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+            "text": "Illyrio Mopatis\n\nAn obese merchant from the Free Cities who helps Daenerys and Viserys Targaryen. Illyrio is very rich and very well-informed. He is quick to please, especially when there is a possibility that his kindness will help him avoid trouble or gain greater fortune in the future.\n\nSer Barristan Selmy\n\nLord Commander of the Kingsguard. He has served kings Jaehaerys, Aerys II, and Robert. Though he has grown old, Barristan \u201cThe Bold\u201d is a formidable fighter. He is, and has always been, an honorable knight.\n\nRenly Baratheon\n\nThe youngest of the three Baratheon brothers. Renly is lighthearted and opportunistic, and unexpectedly ambitious. He serves on Robert\u2019s royal council.\n\nStannis Baratheon\n\nThe middle brother of the three Baratheons. Stannis does not appear in A Game of Thrones, but as the brother of the king, he is a potential heir to the throne. Stannis does not seem to be well-liked.",
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+            "text": "Sandor (The Hound) Clegane\n\nPrince Joff\u2019s unofficial bodyguard. Proud that he is not a knight, The Hound appears to have no scruples whatsoever and does what Joffrey orders, however cruel or unjust, without question. His face is scarred on one side by extensive burning inflicted by his brother, Gregor.\n\nRobb Stark\n\nThe eldest Stark son and thus heir to Ned Stark. Though just fourteen, he is mature beyond his age as well as being brave and dutiful like his father.\n\nMaester Luwin\n\nCounselor to Ned, Catelyn, and Robb. Luwin is old and wise, and his advice proves indispensible to the Starks.\n\nTheon Greyjoy\n\nThe Starks\u2019s ward and Robb\u2019s best friend. Ned Stark took the young Theon, now nineteen, as a ward after putting down a rebellion led by the Greyjoy family, and Theon consequently grew up with the Stark children as something like a brother.",
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Consolidated Statements of Cash Flows (in thousands)\\n\\n2021\\n\\nCash flows from operating activities Net loss Adjustments to reconcile net loss to net cash used in operating activities\\n\\n$\\n\\n(1,009,359)\\n\\nDepreciation and amortization Stock-based compensation Amortization of premium on marketable securities Accretion of discount on marketable securities Amortization of debt discount and issuance costs Deferred income tax from convertible senior notes Loss on sale and disposal of assets, net Gain on divestiture Other Changes in operating assets and liabilities, net effects of acquisition\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 572, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 82, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}, {\"fragment_id\": \"0d5c5803-8846-59d4-8ae3-3696b718f162\", \"extraction_id\": \"fa3d2549-593a-5a80-88a2-b2d031d79771\", \"document_id\": \"2f576170-c4f9-5141-a910-a0924f341de4\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6647443571534382, \"text\": \"79\\n\\n2019 3,615,960\\n\\n2,176,469 636,116 1,505,640 814,122 1,186,093 6,318,440 (2,702,480) \\u2014 102,595 (2,599,885) 2,356 (2,602,241)\\n\\n(11.44)\\n\\n227,498\\n\\n81,321 75,212 971,941 72,046 398,791\\n\\nLyft, Inc. Consolidated Statements of Comprehensive Loss (in thousands)\\n\\nNet loss Other comprehensive income (loss)\\n\\n$\\n\\nYear Ended December 31, 2020 (1,752,857) $\\n\\n2021 (1,009,359) $\\n\\nForeign currency translation adjustment Unrealized gain (loss) on marketable securities, net of taxes\\n\\nOther comprehensive income (loss)\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 567, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 79, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}, {\"fragment_id\": \"5d663f0a-c9a9-580f-818b-5ca0a1ca73f2\", \"extraction_id\": \"12916d2c-0691-528c-86aa-6784c1f35c55\", \"document_id\": \"2f576170-c4f9-5141-a910-a0924f341de4\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6628832616140414, \"text\": \"Overview\\n\\nLyft, Inc (the \\u201cCompany\\u201d or \\u201cLyft\\u201d) started a movement to revolutionize transportation. In 2012, we launched our peer-to-peer marketplace for on-demand ridesharing and have continued to pioneer innovations aligned with our mission. Today, Lyft is one of the largest multimodal transportation networks in the United States and Canada.\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 16, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 5, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}, {\"fragment_id\": \"7133acca-f147-5f43-b2e0-71228282fda0\", \"extraction_id\": \"212d8290-564d-5039-93cc-00cea31a1771\", \"document_id\": \"2f576170-c4f9-5141-a910-a0924f341de4\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6603014862717096, \"text\": \"Revenues from Contracts with Customers (ASC 606)\\n\\nWe generate substantially all our revenue from our ridesharing marketplace that connects drivers and riders. We recognize revenue from fees paid by drivers for use of our Lyft Platform offerings in accordance with ASC 606 as described in Note 2 of the notes to our consolidated financial statements. Drivers enter into terms of service (\\u201cToS\\u201d) with us in order to use our Lyft Driver App.\\n\\n58\\n\\n2019 to 2020 % Change\\n\\n19.0% (1.8)% (6.7)% 2.3%\\n\\nWe provide a service to drivers to complete a successful transportation service for riders. This service includes on-demand lead generation that assists drivers to find, receive and fulfill on-demand requests from riders seeking transportation services and related collection activities using our Lyft Platform. As a result, our single performance obligation in the transaction is to connect drivers with riders to facilitate the completion of a successful transportation service for riders.\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 459, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 58, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}, {\"fragment_id\": \"1a76991f-fa85-59b2-b522-700d47b2d809\", \"extraction_id\": \"0773cd62-b39f-517f-b6f1-be788b38374d\", \"document_id\": \"2f576170-c4f9-5141-a910-a0924f341de4\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6477650017878516, \"text\": \"Corporate Information\\n\\nWe were incorporated in 2007 as Bounder Web, Inc., a Delaware corporation. In 2008, we changed our name to Zimride, Inc. We founded Lyft in 2012 and\\n\\nchanged our name to Lyft, Inc. in 2013 when we sold the assets related to our Zimride operations.\\n\\n13\\n\\nAvailable Information\\n\\nOur website is located at www.lyft.com, and our investor relations website is located at investor.lyft.com. Copies of our Annual Report on Form 10-K, Quarterly Reports on Form 10-Q, Current Reports on Form 8-K and amendments to these reports filed or furnished pursuant to Section 13(a) or 15(d) of the Exchange Act, as amended, are available free of charge on our investor relations website as soon as reasonably practicable after we file such material electronically with or furnish it to the Securities and Exchange Commission (the \\u201cSEC\\u201d). The SEC also maintains a website that contains our SEC filings at www.sec.gov.\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 82, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 13, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}, {\"fragment_id\": \"17673edc-6fb7-577d-9bca-457c5745382d\", \"extraction_id\": \"bde94416-baaa-573a-9bc7-86ddf28535b1\", \"document_id\": \"2f576170-c4f9-5141-a910-a0924f341de4\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6406270265579269, \"text\": \"We generate substantially all of our revenue from our ridesharing marketplace that connects drivers and riders. We collect service fees and commissions from drivers for their use of our ridesharing marketplace. As drivers accept more rider leads and complete more rides, we earn more revenue. We also generate revenue from riders renting Light Vehicles, drivers renting vehicles through Express Drive, Lyft Rentals renters, Lyft Driver Center and Lyft Auto Care users, and by making our ridesharing marketplace available to organizations through our Lyft Business offerings, such as our Concierge and Corporate Business Travel programs. In the second quarter of 2021, we began generating revenues from licensing and data access agreements, primarily with third-party autonomous vehicle companies.\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 20, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 5, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}, {\"fragment_id\": \"8f6299b7-4582-5bac-8c74-7ca57714aefa\", \"extraction_id\": \"310e9e1f-25d3-5287-a905-5446f661d6da\", \"document_id\": \"2f576170-c4f9-5141-a910-a0924f341de4\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6395331787506555, \"text\": \"Revenue Recognition\\n\\nThe Company generates its revenue from its multimodal transportation networks that offer access to a variety of transportation options through the Lyft Platform and mobile-based applications. Substantially all of the Company\\u2019s revenue is generated from its ridesharing marketplace that connects drivers and riders and is recognized in accordance with Accounting Standards Codification Topic 606 (\\u201cASC 606\\u201d). In addition, the Company generates revenue in accordance with ASC 606 from licensing and data access, primarily with third-party autonomous vehicle companies. The Company also generates rental revenue from Flexdrive, its network of Light Vehicles and Lyft Rentals, which is recognized in accordance with Accounting Standards Codification Topic 842 (\\u201cASC 842\\u201d).\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 591, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 86, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}, {\"fragment_id\": \"ff837ea0-0062-59ca-bb4f-aa7a1c9cecd0\", \"extraction_id\": \"41e4db8a-0478-5015-8263-cde0618ec626\", \"document_id\": \"2f576170-c4f9-5141-a910-a0924f341de4\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6308713775353904, \"text\": \"Light Vehicle Rider and Lyft Rentals Renter Incentives\\n\\nIncentives offered to Light Vehicle riders and Lyft Rentals renters were not material for the years ended December 31, 2021 and 2020.\\n\\nFor the years ended December 31, 2021, 2020 and 2019, in relation to the driver, rider, Light Vehicle riders and Lyft Rentals renters incentive programs, the Company recorded $1.3 billion, $390.8 million and $560.3 million as a reduction to revenue and $64.7 million, $135.0 million and $381.5 million as sales and marketing expense, respectively.\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 611, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 89, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}, {\"fragment_id\": \"c24d144b-c22d-5c08-876f-a03e43620aa4\", \"extraction_id\": \"2a4caab0-6193-5263-8eab-c7763e8f38e8\", \"document_id\": \"2f576170-c4f9-5141-a910-a0924f341de4\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6294938325882002, \"text\": \"Software Development Costs\\n\\nThe Company incurs costs related to developing the Lyft Platform and related support systems. The Company capitalizes development costs related to the Lyft Platform and related support systems once the preliminary project stage is complete and it is probable that the project will be completed and the software will be used to perform the function intended. The Company capitalized $16.2 million and $12.8 million of software development costs during the year ended December 31, 2021 and 2020, respectively. For the year ended December 31, 2019, capitalized software development costs was not material.\\n\\nInsurance Reserves\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 649, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 94, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}, {\"fragment_id\": \"83985ff5-653f-53eb-b137-f616b4292f51\", \"extraction_id\": \"0919e3d5-03b0-5d54-b5f3-7f6ad4534412\", \"document_id\": \"2f576170-c4f9-5141-a910-a0924f341de4\", \"user_id\": \"2acb499e-8428-543b-bd85-0d9098718220\", \"collection_ids\": [], \"score\": 0.6223346365889701, \"text\": \"32.1\\u2020\\n\\nCertifications of Principal Executive Officer and Principal Financial Officer pursuant to 18 U.S.C. Section 1350, as adopted pursuant to Section 906 of the Sarbanes-Oxley Act of 2002.\\n\\n101\\n\\nThe following financial information from Lyft, Inc.\\u2019s Annual Report on Form 10-K for the fiscal year ended December 31, 2021 formatted in Inline XBRL (eXtensible Business Reporting Language): (i) Consolidated Statements of Operations for the fiscal years ended December 31, 2021, 2020 and 2019; (ii) Consolidated Statements of Comprehensive Income (Loss) for the fiscal years ended December 31, 2021, 2020, and 2019; (iii) Consolidated Balance Sheets as of December 31, 2021 and 2020; (iv) Consolidated Statements of Cash Flows for the fiscal years ended December 31, 2021, 2020, and 2019; (v) Consolidated Statements of Redeemable Convertible Preferred Stock and Stockholders\\u2019 Equity for the fiscal years ended December 31, 2021, 2020, and 2019; and (vi) Notes to the Consolidated Financial Statements.\", \"metadata\": {\"version\": \"v0\", \"chunk_order\": 817, \"document_type\": \"pdf\", \"unstructured_filetype\": \"application/pdf\", \"unstructured_languages\": [\"eng\"], \"unstructured_page_number\": 127, \"partitioned_by_unstructured\": true, \"associated_query\": \"What was Lyft's profit in 2020?\"}}]</search><completion>Lyft's profit in 2020 was a net loss of $1,752,857,000 [2].</completion>"
+            }
+          }
+        ]
+      }
+    }
+  }
+}
diff --git a/py/tests/regression/observed_outputs/test_user_management.json b/py/tests/regression/observed_outputs/test_user_management.json
new file mode 100644
index 000000000..9b334e838
--- /dev/null
+++ b/py/tests/regression/observed_outputs/test_user_management.json
@@ -0,0 +1,139 @@
+{
+  "register_user": {
+    "results": {
+      "id": "05f95944-be0f-5913-b04c-0eaa5cf45a39",
+      "email": "test_9e56903b@example.com",
+      "is_active": true,
+      "is_superuser": false,
+      "created_at": "2024-09-20T22:58:45.796169Z",
+      "updated_at": "2024-09-20T22:58:45.796169Z",
+      "is_verified": false,
+      "collection_ids": [],
+      "hashed_password": "$2b$12$febFeILwiLIv21raMwdHGuNNl3zKXbxymHlnqMw/BUEvtAzdHa1OK",
+      "verification_code_expiry": null,
+      "name": null,
+      "bio": null,
+      "profile_picture": null
+    }
+  },
+  "login_user": {
+    "results": {
+      "access_token": {
+        "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJ0ZXN0XzllNTY5MDNiQGV4YW1wbGUuY29tIiwiZXhwIjoxNzI2ODc2NzI2LjA2ODg5NiwidG9rZW5fdHlwZSI6ImFjY2VzcyJ9.smZcUPGlas4ql_OFpxa9uaZwIEagcERBMuemGIAerh0",
+        "token_type": "access"
+      },
+      "refresh_token": {
+        "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJ0ZXN0XzllNTY5MDNiQGV4YW1wbGUuY29tIiwiZXhwIjoxNzI3NDc3OTI2LCJ0b2tlbl90eXBlIjoicmVmcmVzaCJ9.u_TcrN_i0KTWRPwkb1-jsbKjJbsu8T6I3h0m96pwIx4",
+        "token_type": "refresh"
+      }
+    }
+  },
+  "user_info": {
+    "results": {
+      "id": "05f95944-be0f-5913-b04c-0eaa5cf45a39",
+      "email": "test_9e56903b@example.com",
+      "is_active": true,
+      "is_superuser": false,
+      "created_at": "2024-09-20T22:58:45.796169Z",
+      "updated_at": "2024-09-20T22:58:45.796169Z",
+      "is_verified": true,
+      "collection_ids": [],
+      "hashed_password": "$2b$12$febFeILwiLIv21raMwdHGuNNl3zKXbxymHlnqMw/BUEvtAzdHa1OK",
+      "verification_code_expiry": null,
+      "name": null,
+      "bio": null,
+      "profile_picture": null
+    }
+  },
+  "change_password": {
+    "results": {
+      "message": "Password changed successfully"
+    }
+  },
+  "update_profile": {
+    "results": {
+      "id": "05f95944-be0f-5913-b04c-0eaa5cf45a39",
+      "email": "test_9e56903b@example.com",
+      "is_active": true,
+      "is_superuser": false,
+      "created_at": "2024-09-20T22:58:45.796169Z",
+      "updated_at": "2024-09-20T22:58:46.618261Z",
+      "is_verified": true,
+      "collection_ids": [],
+      "hashed_password": null,
+      "verification_code_expiry": null,
+      "name": "John Doe",
+      "bio": "R2R enthusiast",
+      "profile_picture": null
+    }
+  },
+  "refresh_token": {
+    "results": {
+      "access_token": {
+        "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJ0ZXN0XzllNTY5MDNiQGV4YW1wbGUuY29tIiwiZXhwIjoxNzI2ODc2NzI2LjY0MzM0NSwidG9rZW5fdHlwZSI6ImFjY2VzcyJ9.UYcp5cwnOvEtCNm-nqQzI8TWw7mmVn_cSEcEDtTltLI",
+        "token_type": "access"
+      },
+      "refresh_token": {
+        "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJ0ZXN0XzllNTY5MDNiQGV4YW1wbGUuY29tIiwiZXhwIjoxNzI3NDc3OTI2LCJ0b2tlbl90eXBlIjoicmVmcmVzaCJ9.u_TcrN_i0KTWRPwkb1-jsbKjJbsu8T6I3h0m96pwIx4",
+        "token_type": "refresh"
+      }
+    }
+  },
+  "superuser_test": {
+    "results": [
+      {
+        "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
+        "email": "admin@example.com",
+        "is_superuser": true,
+        "is_active": true,
+        "is_verified": true,
+        "created_at": "2024-09-20T22:49:55.902324Z",
+        "updated_at": "2024-09-20T22:49:55.902324Z",
+        "collection_ids": [],
+        "num_files": 15,
+        "total_size_in_bytes": 8862496,
+        "document_ids": [
+          "3e157b3a-8469-51db-90d9-52e7d896b49b",
+          "30f950f0-c692-57c5-b6ec-ff78ccf5ccdc",
+          "7b0f40c5-2ace-5781-ae35-ead99ddee8c5",
+          "451adbbd-e24e-5c9b-80a8-f424b6c7accb",
+          "e797da22-8c5d-54e5-bed5-a55954cf6bf9",
+          "c3291abf-8a4e-5d9d-80fd-232ef6fd8526",
+          "5b1bd54f-4d70-56b9-a017-a618bc75f94c",
+          "716fea3a-826b-5b27-8e59-ffbd1a35455a",
+          "57eec3df-cf68-5559-a80d-ae3fb55b9af1",
+          "01d514a4-5cb1-5c86-be8c-0c5c312a02c9",
+          "d421207a-d799-5806-8d67-46b2005b15d4",
+          "db02076e-989a-59cd-98d5-e24e15a0bd27",
+          "52e12576-090f-59db-91f4-6d4b2e29ae6c",
+          "7c1105fc-8f62-5a8f-ac81-fe88f3ec9e4c",
+          "2f576170-c4f9-5141-a910-a0924f341de4"
+        ]
+      },
+      {
+        "user_id": "05f95944-be0f-5913-b04c-0eaa5cf45a39",
+        "email": "test_9e56903b@example.com",
+        "is_superuser": false,
+        "is_active": true,
+        "is_verified": true,
+        "created_at": "2024-09-20T22:58:45.796169Z",
+        "updated_at": "2024-09-20T22:58:46.618261Z",
+        "collection_ids": [],
+        "num_files": 0,
+        "total_size_in_bytes": 0,
+        "document_ids": []
+      }
+    ],
+    "total_entries": 2
+  },
+  "logout": {
+    "results": {
+      "message": "Logged out successfully"
+    }
+  },
+  "delete_account": {
+    "results": {
+      "message": "User account 24d5aa60-d6c5-5360-af03-f178e12b8722 deleted successfully."
+    }
+  }
+}
diff --git a/py/tests/regression/runner.py b/py/tests/regression/runner.py
index d7e0d1796..355a3ffa3 100644
--- a/py/tests/regression/runner.py
+++ b/py/tests/regression/runner.py
@@ -20,11 +20,11 @@ def __init__(
         self.client = R2RClient(base_url=base_url)
         self.tests: List[BaseTest] = []
         self.test_order = [
-            # "TestDocumentManagement",
-            # "TestRetrieval",
+            "TestDocumentManagement",
+            "TestRetrieval",
             "TestUserManagement",
             # "TestObservability",
-            # "TestGroupManagement",
+            "TestGroupManagement",
         ]
         self.check_only = check_only
         self.update_expected = update_expected
diff --git a/py/tests/regression/test_cases/__init__.py b/py/tests/regression/test_cases/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/py/tests/regression/test_cases/test_document_management.py b/py/tests/regression/test_cases/test_document_management.py
index bf3a5ff19..7079408a7 100644
--- a/py/tests/regression/test_cases/test_document_management.py
+++ b/py/tests/regression/test_cases/test_document_management.py
@@ -1,4 +1,5 @@
 import os
+import time
 
 from core import R2RException
 from tests.regression.test_cases.base import BaseTest
@@ -25,7 +26,7 @@ def get_test_cases(self):
                 client
             ),
             "reingest_sample_file": lambda client: self.ingest_sample_files_test(
-                client
+                client, do_sleep=False
             ),
             "documents_overview": lambda client: self.documents_overview_test(
                 client
@@ -36,10 +37,13 @@ def get_test_cases(self):
             "update_document_test": lambda client: self.update_document_test(
                 client
             ),
+            "rerun_documents_overview_test_1": lambda client: self.documents_overview_test(
+                client
+            ),
             "delete_document_test": lambda client: self.delete_document_test(
                 client
             ),
-            "rerun_documents_overview_test": lambda client: self.documents_overview_test(
+            "rerun_documents_overview_test_2": lambda client: self.documents_overview_test(
                 client
             ),
             "rerun_document_chunks_test": lambda client: self.document_chunks_test(
@@ -47,24 +51,27 @@ def get_test_cases(self):
             ),
         }
 
-    def ingest_sample_files_test(self, client):
+    def ingest_sample_files_test(self, client, do_sleep=True):
         file_path = os.path.abspath(__file__)
         data_path = os.path.join(
             os.path.dirname(file_path),
             "..",
             "..",
             "..",
-            "r2r",
+            "core",
             "examples",
             "data",
         )
         try:
-            return client.ingest_files(
+            result = client.ingest_files(
                 [
                     os.path.join(data_path, file_name)
                     for file_name in os.listdir(data_path)
                 ]
             )
+            if do_sleep:
+                time.sleep(300)
+            return result
         except R2RException as e:
             return {"results": str(e)}
 
@@ -92,7 +99,7 @@ def update_document_test(self, client):
                 "..",
                 "..",
                 "..",
-                "r2r",
+                "core",
                 "examples",
                 "data",
                 "aristotle_v2.txt",
@@ -100,6 +107,7 @@ def update_document_test(self, client):
             update_response = client.update_files(
                 [file_path], [TestDocumentManagement.UPDATE_FILE_ID]
             )
+            time.sleep(20)
             return update_response
         except R2RException as e:
             return {"results": str(e)}
diff --git a/py/tests/regression/test_cases/test_user_management.py b/py/tests/regression/test_cases/test_user_management.py
index 0c6412f60..c405a7511 100644
--- a/py/tests/regression/test_cases/test_user_management.py
+++ b/py/tests/regression/test_cases/test_user_management.py
@@ -64,19 +64,19 @@ def __init__(self, client):
     def get_test_cases(self):
         return {
             "register_user": lambda client: self.register_user_test(client),
-            # "login_user": lambda client: self.login_user_test(client),
-            # "user_info": lambda client: self.user_info_test(client),
-            # "change_password": lambda client: self.change_password_test(
-            #     client
-            # ),
-            # # "reset_password": lambda client: self.reset_password_test(client),
-            # "update_profile": lambda client: self.update_profile_test(client),
-            # "refresh_token": lambda client: self.refresh_token_test(client),
-            # "superuser_test": lambda client: self.superuser_test(client),
-            # "logout": lambda client: self.logout_test(client),
-            # "delete_account": lambda client: self.delete_user_test(client),
-            # "login_user": lambda client: self.login_user_test(client),
-            # "refresh_token": lambda client: self.refresh_token_test(client),
+            "login_user": lambda client: self.login_user_test(client),
+            "user_info": lambda client: self.user_info_test(client),
+            "change_password": lambda client: self.change_password_test(
+                client
+            ),
+            # "reset_password": lambda client: self.reset_password_test(client),
+            "update_profile": lambda client: self.update_profile_test(client),
+            "refresh_token": lambda client: self.refresh_token_test(client),
+            "superuser_test": lambda client: self.superuser_test(client),
+            "logout": lambda client: self.logout_test(client),
+            "delete_account": lambda client: self.delete_user_test(client),
+            "login_user": lambda client: self.login_user_test(client),
+            "refresh_token": lambda client: self.refresh_token_test(client),
         }
 
     def register_user_test(self, client):
diff --git a/py/tests/test_abstractions.py b/py/tests/test_abstractions.py
deleted file mode 100644
index b9e81ad1d..000000000
--- a/py/tests/test_abstractions.py
+++ /dev/null
@@ -1,243 +0,0 @@
-import asyncio
-import uuid
-from datetime import datetime
-
-import pytest
-
-from core import (
-    AsyncPipe,
-    AsyncState,
-    Prompt,
-    Vector,
-    VectorEntry,
-    VectorSearchResult,
-    VectorType,
-    generate_id_from_label,
-)
-from core.base.abstractions.completion import CompletionRecord, MessageType
-from core.base.abstractions.search import AggregateSearchResult
-
-
-@pytest.fixture(scope="session", autouse=True)
-def event_loop_policy():
-    asyncio.set_event_loop_policy(asyncio.DefaultEventLoopPolicy())
-
-
-@pytest.fixture(scope="function", autouse=True)
-async def cleanup_tasks():
-    yield
-    tasks = [t for t in asyncio.all_tasks() if t is not asyncio.current_task()]
-    [task.cancel() for task in tasks]
-    await asyncio.gather(*tasks, return_exceptions=True)
-
-
-@pytest.mark.asyncio
-async def test_async_state_update_and_get():
-    state = AsyncState()
-    outer_key = "test_key"
-    values = {"inner_key": "value"}
-    await state.update(outer_key, values)
-    result = await state.get(outer_key, "inner_key")
-    assert result == "value"
-
-
-@pytest.mark.asyncio
-async def test_async_state_delete():
-    state = AsyncState()
-    outer_key = "test_key"
-    values = {"inner_key": "value"}
-    await state.update(outer_key, values)
-    await state.delete(outer_key, "inner_key")
-    result = await state.get(outer_key, "inner_key")
-    assert result == {}, "Expect empty result after deletion"
-
-
-class MockAsyncPipe(AsyncPipe):
-    async def _run_logic(self, input, state, run_id, *args, **kwargs):
-        yield "processed"
-
-
-@pytest.mark.asyncio
-async def test_async_pipe_run():
-    pipe = MockAsyncPipe()
-
-    async def list_to_generator(lst):
-        for item in lst:
-            yield item
-
-    input = pipe.Input(message=list_to_generator(["test"]))
-    state = AsyncState()
-    try:
-        async_generator = await pipe.run(input, state)
-        results = [result async for result in async_generator]
-        assert results == ["processed"]
-    except asyncio.CancelledError:
-        pass  # Task cancelled as expected
-
-
-def test_prompt_initialization_and_formatting():
-    prompt = Prompt(
-        name="greet", template="Hello, {name}!", input_types={"name": "str"}
-    )
-    formatted = prompt.format_prompt({"name": "Alice"})
-    assert formatted == "Hello, Alice!"
-
-
-def test_prompt_missing_input():
-    prompt = Prompt(
-        name="greet", template="Hello, {name}!", input_types={"name": "str"}
-    )
-    with pytest.raises(ValueError):
-        prompt.format_prompt({})
-
-
-def test_prompt_invalid_input_type():
-    prompt = Prompt(
-        name="greet", template="Hello, {name}!", input_types={"name": "int"}
-    )
-    with pytest.raises(TypeError):
-        prompt.format_prompt({"name": "Alice"})
-
-
-def test_vector_fixed_length_validation():
-    with pytest.raises(ValueError):
-        Vector(data=[1.0, 2.0], type=VectorType.FIXED, length=3)
-
-
-def test_message_type_enum():
-    assert str(MessageType.SYSTEM) == "system"
-    assert str(MessageType.USER) == "user"
-    assert str(MessageType.ASSISTANT) == "assistant"
-    assert str(MessageType.FUNCTION) == "function"
-    assert str(MessageType.TOOL) == "tool"
-
-
-def test_completion_record_initialization():
-    record = CompletionRecord(
-        message_id=uuid.uuid4(),
-        message_type=MessageType.USER,
-        search_query="test query",
-        llm_response="test response",
-    )
-    assert isinstance(record.message_id, uuid.UUID)
-    assert record.message_type == MessageType.USER
-    assert isinstance(record.timestamp, datetime)
-    assert record.search_query == "test query"
-    assert record.llm_response == "test response"
-
-
-def test_completion_record_optional_fields():
-    record = CompletionRecord(
-        message_id=uuid.uuid4(), message_type=MessageType.SYSTEM
-    )
-    assert record.feedback is None
-    assert record.score is None
-    assert record.completion_start_time is None
-    assert record.completion_end_time is None
-    assert record.search_query is None
-    assert record.search_results is None
-    assert record.llm_response is None
-
-
-def test_completion_record_to_dict():
-    search_results = AggregateSearchResult(vector_search_results=[])
-    record = CompletionRecord(
-        message_id=uuid.uuid4(),
-        message_type=MessageType.ASSISTANT,
-        feedback=["Good"],
-        score=[0.9],
-        completion_start_time=datetime(2023, 1, 1, 12, 0),
-        completion_end_time=datetime(2023, 1, 1, 12, 1),
-        search_query="test",
-        search_results=search_results,
-        llm_response="Response",
-    )
-    record_dict = record.to_dict()
-
-    assert isinstance(record_dict["message_id"], str)
-    assert record_dict["message_type"] == "assistant"
-    assert isinstance(record_dict["timestamp"], str)
-    assert record_dict["feedback"] == ["Good"]
-    assert record_dict["score"] == [0.9]
-    assert record_dict["completion_start_time"] == "2023-01-01T12:00:00"
-    assert record_dict["completion_end_time"] == "2023-01-01T12:01:00"
-    assert record_dict["search_query"] == "test"
-    assert isinstance(record_dict["search_results"], dict)
-    assert record_dict["llm_response"] == "Response"
-
-
-def test_completion_record_to_json():
-    record = CompletionRecord(
-        message_id=uuid.uuid4(),
-        message_type=MessageType.FUNCTION,
-        llm_response="JSON test",
-    )
-    json_str = record.to_json()
-    assert isinstance(json_str, str)
-
-    import json
-
-    parsed_dict = json.loads(json_str)
-    assert parsed_dict["message_type"] == "function"
-    assert parsed_dict["llm_response"] == "JSON test"
-
-
-@pytest.mark.parametrize("message_type", list(MessageType))
-def test_completion_record_all_message_types(message_type):
-    record = CompletionRecord(
-        message_id=uuid.uuid4(), message_type=message_type
-    )
-    assert record.message_type == message_type
-
-
-def test_completion_record_serialization_with_none_values():
-    record = CompletionRecord(
-        message_id=uuid.uuid4(), message_type=MessageType.TOOL
-    )
-    record_dict = record.to_dict()
-    for field in [
-        "feedback",
-        "score",
-        "completion_start_time",
-        "completion_end_time",
-        "search_query",
-        "search_results",
-        "llm_response",
-    ]:
-        assert record_dict[field] is None
-
-
-def test_completion_record_with_complex_search_results():
-    search_result = VectorSearchResult(
-        fragment_id=uuid.uuid4(),
-        extraction_id=uuid.uuid4(),
-        document_id=uuid.uuid4(),
-        user_id=uuid.uuid4(),
-        group_ids=[],
-        score=0.95,
-        text="Sample text",
-        metadata={"key": "value"},
-    )
-    aggregate_result = AggregateSearchResult(
-        vector_search_results=[search_result]
-    )
-    record = CompletionRecord(
-        message_id=uuid.uuid4(),
-        message_type=MessageType.USER,
-        search_results=aggregate_result,
-    )
-    record_dict = record.to_dict()
-    assert isinstance(record_dict["search_results"], dict)
-    assert isinstance(
-        record_dict["search_results"]["vector_search_results"], list
-    )
-    assert len(record_dict["search_results"]["vector_search_results"]) == 1
-    result = record_dict["search_results"]["vector_search_results"][0]
-    assert result["score"] == 0.95
-    assert result["metadata"] == {"key": "value"}
-    assert "fragment_id" in result
-    assert "extraction_id" in result
-    assert "document_id" in result
-    assert "user_id" in result
-    assert result["text"] == "Sample text"
-    assert result["group_ids"] == []
diff --git a/py/tests/test_auth.py b/py/tests/test_auth.py
deleted file mode 100644
index 00471b96e..000000000
--- a/py/tests/test_auth.py
+++ /dev/null
@@ -1,648 +0,0 @@
-# import random
-# from datetime import datetime, timedelta, timezone
-# from unittest.mock import Mock, patch
-
-# import pytest
-
-# from core import (
-#     AuthConfig,
-#     BCryptConfig,
-#     BCryptProvider,
-#     DatabaseConfig,
-#     PostgresDBProvider,
-#     R2RAuthProvider,
-#     R2RException,
-# )
-# from core.main.services import AuthService
-
-
-# # Fixture for PostgresDBProvider
-# @pytest.fixture
-# def pg_vector_db():
-#     random_collection_name = (
-#         f"test_collection_{random.randint(0, 1_000_000_000)}"
-#     )
-#     config = DatabaseConfig.create(
-#         provider="postgres", vecs_collection=random_collection_name
-#     )
-#     db = PostgresDBProvider(
-#         config, crypto_provider=BCryptProvider(BCryptConfig()), dimension=3
-#     )
-#     yield db
-#     # Teardown
-#     db.vx.delete_collection(db.config.vecs_collection)
-
-
-# @pytest.fixture
-# def auth_config():
-#     return AuthConfig(
-#         secret_key="wNFbczH3QhUVcPALwtWZCPi0lrDlGV3P1DPRVEQCPbM",
-#         access_token_lifetime_in_minutes=30,
-#         refresh_token_lifetime_in_days=7,
-#         require_email_verification=True,
-#     )
-
-
-# @pytest.fixture
-# def auth_provider(auth_config, pg_vector_db):
-#     return R2RAuthProvider(
-#         auth_config,
-#         crypto_provider=BCryptProvider(BCryptConfig()),
-#         db_provider=pg_vector_db,
-#     )
-
-
-# @pytest.fixture
-# def mock_email_provider():
-#     mock_email = Mock()
-#     mock_email.send_verification_email = Mock()
-#     return mock_email
-
-
-# @pytest.fixture
-# def auth_service(auth_provider, auth_config, pg_vector_db):
-#     # Mock other necessary components for AuthService
-#     mock_providers = Mock()
-#     mock_providers.auth = auth_provider
-#     mock_providers.database = pg_vector_db
-#     mock_providers.email = mock_email_provider
-#     mock_pipelines = Mock()
-#     mock_run_manager = Mock()
-#     mock_logging_connection = Mock()
-#     mock_assistants = Mock()
-
-#     return AuthService(
-#         config=Mock(auth=auth_config),
-#         providers=mock_providers,
-#         pipelines=mock_pipelines,
-#         run_manager=mock_run_manager,
-#         agents=mock_assistants,
-#         logging_connection=mock_logging_connection,
-#     )
-
-
-# @pytest.mark.asyncio
-# async def test_create_user(auth_service, auth_provider):
-#     new_user = await auth_service.register(
-#         email="create@example.com", password="password123"
-#     )
-#     assert new_user.email == "create@example.com"
-#     assert not new_user.is_verified
-#     fetched_user = auth_provider.db_provider.relational.get_user_by_email(
-#         new_user.email
-#     )
-#     assert fetched_user.email == new_user.email
-#     assert fetched_user.is_verified == new_user.is_verified
-#     assert fetched_user.hashed_password == new_user.hashed_password
-#     assert fetched_user.is_active == new_user.is_active
-
-
-# @pytest.mark.asyncio
-# async def test_verify_user(auth_service, auth_provider):
-#     # Mock the generate_verification_code method to return a known value
-#     with patch.object(
-#         auth_provider.crypto_provider,
-#         "generate_verification_code",
-#         return_value="123456",
-#     ):
-#         new_user = await auth_service.register(
-#             email="verify@example.com", password="password123"
-#         )
-
-#         # mock verification
-#         assert new_user.email == "verify@example.com"
-#         assert not new_user.is_verified
-
-#         # Verify the user using the known verification code
-#         verification = auth_provider.verify_email("123456")
-#         assert verification["message"] == "Email verified successfully"
-
-#         # Check that the user is now verified
-#         response = auth_provider.db_provider.relational.get_user_by_email(
-#             "verify@example.com"
-#         )
-#         assert response.is_verified
-#         assert response.email == "verify@example.com"
-
-
-# @pytest.mark.asyncio
-# async def test_login_success(auth_service, auth_provider):
-#     # Register a new user
-#     with patch.object(
-#         auth_provider.crypto_provider,
-#         "generate_verification_code",
-#         return_value="123456",
-#     ):
-#         new_user = await auth_service.register(
-#             email="login_test@example.com", password="correct_password"
-#         )
-
-#     # Verify the user
-#     auth_provider.verify_email("123456")
-
-#     # Attempt login with correct password
-#     login_result = await auth_service.login(
-#         "login_test@example.com", "correct_password"
-#     )
-
-#     assert "access_token" in login_result
-#     assert "refresh_token" in login_result
-#     assert login_result["access_token"].token_type == "access"
-#     assert login_result["refresh_token"].token_type == "refresh"
-
-
-# @pytest.mark.asyncio
-# async def test_login_failure_wrong_password(auth_service, auth_provider):
-#     # Register a new user
-#     with patch.object(
-#         auth_provider.crypto_provider,
-#         "generate_verification_code",
-#         return_value="123456",
-#     ):
-#         new_user = await auth_service.register(
-#             email="login_fail@example.com", password="correct_password"
-#         )
-
-#     # Verify the user
-#     auth_provider.verify_email("123456")
-
-#     # Attempt login with incorrect password
-#     with pytest.raises(R2RException) as exc_info:
-#         await auth_service.login("login_fail@example.com", "wrong_password")
-
-#     assert exc_info.value.status_code == 401
-#     assert exc_info.value.message == "Incorrect email or password"
-
-
-# @pytest.mark.asyncio
-# async def test_login_failure_unverified_user(auth_service, auth_provider):
-#     # Register a new user but don't verify
-#     await auth_service.register(
-#         email="unverified@example.com", password="password123"
-#     )
-
-#     # Attempt login with correct password but unverified account
-#     with pytest.raises(R2RException) as exc_info:
-#         await auth_service.login("unverified@example.com", "password123")
-
-#     assert exc_info.value.status_code == 401
-#     assert exc_info.value.message == "Email not verified"
-
-
-# @pytest.mark.asyncio
-# async def test_login_failure_nonexistent_user(auth_service):
-#     # Attempt login with non-existent user
-#     with pytest.raises(R2RException) as exc_info:
-#         await auth_service.login("nonexistent@example.com", "password123")
-
-#     assert exc_info.value.status_code == 404
-#     assert exc_info.value.message == "User not found"
-
-
-# @pytest.mark.asyncio
-# async def test_login_with_non_existent_user(auth_service):
-#     with pytest.raises(R2RException) as exc_info:
-#         await auth_service.login("nonexistent@example.com", "password123")
-#     assert "User not found" in str(exc_info.value)
-
-
-# @pytest.mark.asyncio
-# async def test_verify_email_with_expired_code(auth_service, auth_provider):
-#     with patch.object(
-#         auth_provider.crypto_provider,
-#         "generate_verification_code",
-#         return_value="123456",
-#     ):
-#         new_user = await auth_service.register(
-#             email="verify_expired@example.com", password="password123"
-#         )
-
-#         # Get the verification code
-
-#         # Manually expire the verification code
-#         auth_provider.db_provider.relational.expire_verification_code(
-#             new_user.id
-#         )
-
-#         with pytest.raises(R2RException) as exc_info:
-#             await auth_service.verify_email(
-#                 "verify_expired@example.com", "123456"
-#             )
-#         assert "Invalid or expired verification code" in str(exc_info.value)
-
-
-# @pytest.mark.asyncio
-# async def test_refresh_token_flow(auth_service, auth_provider):
-#     # Register and verify a user
-#     with patch.object(
-#         auth_provider.crypto_provider,
-#         "generate_verification_code",
-#         return_value="123456",
-#     ):
-#         new_user = await auth_service.register(
-#             email="refresh@example.com", password="password123"
-#         )
-
-#     await auth_service.verify_email("refresh@example.com", "123456")
-
-#     # Login to get initial tokens
-#     tokens = await auth_service.login("refresh@example.com", "password123")
-#     initial_access_token = tokens["access_token"]
-#     refresh_token = tokens["refresh_token"]
-
-#     # Use refresh token to get new access token
-#     new_tokens = await auth_service.refresh_access_token(refresh_token.token)
-#     assert "access_token" in new_tokens
-#     assert new_tokens["access_token"].token != initial_access_token.token
-
-
-# @pytest.mark.asyncio
-# async def test_get_current_user_with_expired_token(
-#     auth_service, auth_provider
-# ):
-#     with patch.object(
-#         auth_provider.crypto_provider,
-#         "generate_verification_code",
-#         return_value="123456",
-#     ):
-#         new_user = await auth_service.register(
-#             email="expired_token@example.com", password="password123"
-#         )
-
-#     await auth_service.verify_email("expired_token@example.com", "123456")
-
-#     # Manually expire the token
-#     auth_provider.access_token_lifetime_in_minutes = (
-#         -1
-#     )  # This will create an expired token
-#     auth_provider.refresh_token_lifetime_in_days = (
-#         -1
-#     )  # This will create an expired token
-
-#     tokens = await auth_service.login(
-#         "expired_token@example.com", "password123"
-#     )
-#     access_token = tokens["refresh_token"]
-
-#     with pytest.raises(R2RException) as exc_info:
-#         result = await auth_service.user(access_token.token)
-#     assert "Token has expired" in str(exc_info.value)
-
-#     # Reset the token lifetime
-#     auth_provider.access_token_lifetime_in_minutes = 30
-
-
-# @pytest.mark.asyncio
-# async def test_change_password(auth_service, auth_provider):
-#     # Register and verify a user
-#     with patch.object(
-#         auth_provider.crypto_provider,
-#         "generate_verification_code",
-#         return_value="123456",
-#     ):
-#         new_user = await auth_service.register(
-#             email="change_password@example.com", password="old_password"
-#         )
-#     await auth_service.verify_email("change_password@example.com", "123456")
-
-#     # Change password
-#     await auth_service.change_password(
-#         new_user, "old_password", "new_password"
-#     )
-
-#     # Try logging in with old password
-#     with pytest.raises(R2RException) as exc_info:
-#         await auth_service.login("change_password@example.com", "old_password")
-#     assert exc_info.value.status_code == 401
-
-#     # Login with new password
-#     login_result = await auth_service.login(
-#         "change_password@example.com", "new_password"
-#     )
-#     assert "access_token" in login_result
-
-
-# @pytest.mark.asyncio
-# async def test_reset_password_flow(
-#     auth_service, auth_provider, mock_email_provider
-# ):
-#     with patch.object(
-#         auth_provider.crypto_provider,
-#         "generate_verification_code",
-#         return_value="123456",
-#     ):
-#         new_user = await auth_service.register(
-#             email="reset_password@example.com", password="old_password"
-#         )
-#     await auth_service.verify_email("reset_password@example.com", "123456")
-
-#     # Request password reset
-#     await auth_service.request_password_reset("reset_password@example.com")
-
-#     # Verify that an email was "sent"
-#     # mock_email_provider.send_reset_email.assert_called_once()
-
-#     # Mock getting the reset token from the email
-#     reset_token = "mocked_reset_token"
-#     with patch.object(
-#         auth_provider.db_provider.relational,
-#         "get_user_id_by_reset_token",
-#         return_value=new_user.id,
-#     ):
-#         # Confirm password reset
-#         await auth_service.confirm_password_reset(reset_token, "new_password")
-
-#     # Try logging in with old password
-#     with pytest.raises(R2RException) as exc_info:
-#         await auth_service.login("reset_password@example.com", "old_password")
-#     assert exc_info.value.status_code == 401
-
-#     # Login with new password
-#     login_result = await auth_service.login(
-#         "reset_password@example.com", "new_password"
-#     )
-#     assert "access_token" in login_result
-
-
-# @pytest.mark.asyncio
-# async def test_logout(auth_service, auth_provider):
-#     # Register and verify a user
-#     with patch.object(
-#         auth_provider.crypto_provider,
-#         "generate_verification_code",
-#         return_value="123456",
-#     ):
-#         new_user = await auth_service.register(
-#             email="logout@example.com", password="password123"
-#         )
-#     await auth_service.verify_email("logout@example.com", "123456")
-
-#     # Login to get tokens
-#     tokens = await auth_service.login("logout@example.com", "password123")
-#     access_token = tokens["access_token"].token
-
-#     # Logout
-#     await auth_service.logout(access_token)
-
-#     # Try to use the logged out token
-#     with pytest.raises(R2RException) as exc_info:
-#         await auth_service.user(access_token)
-#     assert exc_info.value.status_code == 401
-
-
-# @pytest.mark.asyncio
-# async def test_update_user_profile(auth_service, auth_provider):
-#     # Register and verify a user
-#     with patch.object(
-#         auth_provider.crypto_provider,
-#         "generate_verification_code",
-#         return_value="123456",
-#     ):
-#         new_user = await auth_service.register(
-#             email="update_profile@example.com", password="password123"
-#         )
-#     await auth_service.verify_email("update_profile@example.com", "123456")
-
-#     # Update user profile
-#     updated_profile = await auth_service.update_user(
-#         new_user.id,
-#         name="John Doe",
-#         bio="Test bio",
-#         profile_picture="http://example.com/pic.jpg",
-#     )
-#     assert updated_profile.name == "John Doe"
-#     assert updated_profile.bio == "Test bio"
-#     assert updated_profile.profile_picture == "http://example.com/pic.jpg"
-
-
-# @pytest.mark.asyncio
-# async def test_delete_user_account(auth_service, auth_provider):
-#     # Register and verify a user
-#     with patch.object(
-#         auth_provider.crypto_provider,
-#         "generate_verification_code",
-#         return_value="123456",
-#     ):
-#         new_user = await auth_service.register(
-#             email="delete_user@example.com", password="password123"
-#         )
-#     await auth_service.verify_email("delete_user@example.com", "123456")
-
-#     # Delete user account
-#     await auth_service.delete_user(new_user.id, "password123")
-
-#     # Try to get the deleted user's profile
-#     with pytest.raises(R2RException) as exc_info:
-#         result = auth_provider.db_provider.relational.get_user_by_email(
-#             "delete_user@example.com"
-#         )
-#     assert exc_info.value.status_code == 404
-
-#     # Try to login with deleted account
-#     with pytest.raises(R2RException) as exc_info:
-#         await auth_service.login("delete_user@example.com", "password123")
-#     assert exc_info.value.status_code == 404
-
-
-# @pytest.mark.asyncio
-# async def test_token_blacklist_cleanup(auth_service, auth_provider):
-#     # Register and verify a user
-#     with patch.object(
-#         auth_provider.crypto_provider,
-#         "generate_verification_code",
-#         return_value="123456",
-#     ):
-#         await auth_service.register(
-#             email="cleanup@example.com", password="password123"
-#         )
-#     await auth_service.verify_email("cleanup@example.com", "123456")
-
-#     # Login and logout to create a blacklisted token
-#     tokens = await auth_service.login("cleanup@example.com", "password123")
-#     access_token = tokens["access_token"].token
-#     await auth_service.logout(access_token)
-
-#     # Manually insert an "old" blacklisted token
-#     old_token = "old_token"
-#     # with patch('datetime.datetime') as mock_datetime:
-#     # mock_datetime.utcnow.return_value = datetime.utcnow() - timedelta(hours=7*25)
-#     auth_provider.db_provider.relational.blacklist_token(
-#         old_token, datetime.now(timezone.utc) - timedelta(hours=7 * 25)
-#     )
-
-#     # Verify both tokens are in the blacklist before cleanup
-#     assert auth_provider.db_provider.relational.is_token_blacklisted(old_token)
-#     assert auth_provider.db_provider.relational.is_token_blacklisted(
-#         access_token
-#     )
-
-#     # Run cleanup (tokens older than 24 hours will be removed)
-#     await auth_service.clean_expired_blacklisted_tokens()
-
-#     # Check that the old token was removed and the newer one remains
-#     assert not auth_provider.db_provider.relational.is_token_blacklisted(
-#         old_token
-#     )
-#     assert auth_provider.db_provider.relational.is_token_blacklisted(
-#         access_token
-#     )
-
-
-# @pytest.mark.asyncio
-# async def test_register_and_verify(auth_service, auth_provider):
-#     # new_user = await auth_service.register(user)
-#     # Mock verification code generation
-#     with patch.object(
-#         auth_provider.crypto_provider,
-#         "generate_verification_code",
-#         return_value="123456",
-#     ):
-#         new_user = await auth_service.register(
-#             email="newuser@example.com", password="password123"
-#         )
-#         assert new_user.email == "newuser@example.com"
-#         assert not new_user.is_verified
-
-#         await auth_service.verify_email("newuser@example.com", "123456")
-
-#     new_user = auth_provider.db_provider.relational.get_user_by_email(
-#         "newuser@example.com"
-#     )
-#     assert new_user.email == "newuser@example.com"
-#     assert new_user.is_verified
-
-
-# @pytest.mark.asyncio
-# async def test_login_logout(auth_service, auth_provider):
-#     # Mock reset token generation
-#     with patch.object(
-#         auth_provider.crypto_provider,
-#         "generate_verification_code",
-#         return_value="123456",
-#     ):
-#         await auth_service.register(
-#             email="loginuser@example.com", password="password123"
-#         )
-#         await auth_service.verify_email("loginuser@example.com", "123456")
-
-#     tokens = await auth_service.login("loginuser@example.com", "password123")
-#     assert "access_token" in tokens
-#     assert "refresh_token" in tokens
-
-#     logout_result = await auth_service.logout(tokens["access_token"].token)
-#     assert logout_result["message"] == "Logged out successfully"
-
-
-# @pytest.mark.asyncio
-# async def test_refresh_token(auth_service, auth_provider):
-#     # Mock reset token generation
-#     with patch.object(
-#         auth_provider.crypto_provider,
-#         "generate_verification_code",
-#         return_value="123456",
-#     ):
-#         await auth_service.register(
-#             email="refreshuser@example.com", password="password123"
-#         )
-#         await auth_service.verify_email("refreshuser@example.com", "123456")
-
-#     tokens = await auth_service.login("refreshuser@example.com", "password123")
-#     new_tokens = await auth_service.refresh_access_token(
-#         tokens["refresh_token"].token
-#     )
-#     assert new_tokens["access_token"].token != tokens["access_token"].token
-
-
-# @pytest.mark.asyncio
-# async def test_change_password(auth_service, auth_provider):
-#     with patch.object(
-#         auth_provider.crypto_provider,
-#         "generate_verification_code",
-#         return_value="123456",
-#     ):
-#         new_user = await auth_service.register(
-#             email="changepass@example.com", password="oldpassword"
-#         )
-#     await auth_service.verify_email("changepass@example.com", "123456")
-
-#     result = await auth_service.change_password(
-#         new_user, "oldpassword", "newpassword"
-#     )
-#     assert result["message"] == "Password changed successfully"
-
-#     with pytest.raises(R2RException):
-#         await auth_service.login("changepass@example.com", "oldpassword")
-
-#     tokens = await auth_service.login("changepass@example.com", "newpassword")
-#     assert "access_token" in tokens
-
-
-# @pytest.mark.asyncio
-# async def test_request_reset_password(auth_service):
-#     await auth_service.register(
-#         email="resetpass@example.com", password="password123"
-#     )
-
-#     result = await auth_service.request_password_reset("resetpass@example.com")
-#     assert (
-#         result["message"] == "If the email exists, a reset link has been sent"
-#     )
-
-
-# @pytest.mark.asyncio
-# async def test_confirm_reset_password(auth_service, auth_provider):
-#     # Mock reset token generation
-#     with patch.object(
-#         auth_provider.crypto_provider,
-#         "generate_verification_code",
-#         return_value="123456",
-#     ):
-#         await auth_service.register(
-#             email="confirmreset@example.com", password="oldpassword"
-#         )
-#         await auth_service.verify_email("confirmreset@example.com", "123456")
-#         await auth_service.request_password_reset("confirmreset@example.com")
-#         result = await auth_service.confirm_password_reset(
-#             "123456", "newpassword"
-#         )
-#         assert result["message"] == "Password reset successfully"
-
-#     tokens = await auth_service.login(
-#         "confirmreset@example.com", "newpassword"
-#     )
-#     assert "access_token" in tokens
-
-
-# @pytest.mark.asyncio
-# async def test_get_user_profile(auth_service, auth_provider):
-#     await auth_service.register(
-#         email="profile@example.com", password="password123"
-#     )
-
-#     profile = auth_provider.db_provider.relational.get_user_by_email(
-#         "profile@example.com"
-#     )
-#     assert profile.email == "profile@example.com"
-
-
-# @pytest.mark.asyncio
-# async def test_update_user_profile(auth_service):
-#     new_user = await auth_service.register(
-#         email="updateprofile@example.com", password="password123"
-#     )
-
-#     updated_user = await auth_service.update_user(new_user.id, name="John Doe")
-#     assert updated_user.name == "John Doe"
-
-
-# @pytest.mark.asyncio
-# async def test_delete_user_account_2(auth_service):
-#     new_user = await auth_service.register(
-#         email="deleteuser@example.com", password="password123"
-#     )
-
-#     result = await auth_service.delete_user(new_user.id, "password123")
-#     assert "deleted" in result["message"]
-
-#     with pytest.raises(R2RException):
-#         await auth_service.login("deleteuser@example.com", "password123")
diff --git a/py/tests/test_client.py b/py/tests/test_client.py
deleted file mode 100644
index b7aa68fa0..000000000
--- a/py/tests/test_client.py
+++ /dev/null
@@ -1,365 +0,0 @@
-import uuid
-from datetime import datetime
-from unittest.mock import MagicMock
-
-import pytest
-from fastapi import Body, Depends
-from fastapi.security import OAuth2PasswordBearer
-from fastapi.testclient import TestClient
-
-from core import (
-    DocumentInfo,
-    HatchetOrchestrationProvider,
-    PostgresDBProvider,
-    R2RAuthProvider,
-    R2RBuilder,
-    R2RConfig,
-    Token,
-    UnstructuredParsingProvider,
-    UserResponse,
-    VectorSearchResult,
-)
-
-# TODO: need to import this from the package, not from the local directory
-from r2r import R2RClient
-
-oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")
-
-
-def create_user(email: str, password: str):
-    return UserResponse(
-        id=uuid.UUID("12345678-1234-5678-1234-567812345678"),
-        email=email,
-        hashed_password="hashed_" + password,
-        is_active=True,
-        is_superuser=False,
-        is_verified=False,
-        name="Test User",
-        bio="Test Bio",
-        profile_picture="http://example.com/pic.jpg",
-        created_at=datetime.utcnow(),
-        updated_at=datetime.utcnow(),
-    )
-
-
-@pytest.fixture(scope="function")
-def mock_auth_wrapper():
-    def auth_wrapper(token: str = Depends(oauth2_scheme)):
-        return UserResponse(
-            id=uuid.UUID("12345678-1234-5678-1234-567812345678"),
-            email="test@example.com",
-            is_active=True,
-            hashed_password="xxx",
-            is_superuser=False,
-        )
-
-    return auth_wrapper
-
-
-@pytest.fixture(scope="function")
-def mock_auth_wrapper():
-    def auth_wrapper(token: str = Depends(oauth2_scheme)):
-        return UserResponse(
-            id=uuid.UUID("12345678-1234-5678-1234-567812345678"),
-            email="test@example.com",
-            is_active=True,
-            hashed_password="xxx",
-            is_superuser=True,
-        )
-
-    return auth_wrapper
-
-
-@pytest.fixture(scope="function")
-def mock_super_auth_wrapper():
-    def auth_wrapper(token: str = Depends(oauth2_scheme)):
-        return UserResponse(
-            id=uuid.UUID("12345678-1234-5678-1234-567812345678"),
-            email="test@example.com",
-            is_active=True,
-            hashed_password="xxx",
-            is_superuser=True,
-        )
-
-    return auth_wrapper
-
-
-@pytest.fixture(scope="function")
-def mock_db():
-    db = MagicMock()
-    db.relational.get_user_by_email.return_value = (
-        None  # Simulate empty database
-    )
-
-    db.relational.create_user.side_effect = create_user
-    db.relational.get_user_by_id.return_value = create_user(
-        email="test@example.com", password="password"
-    )
-
-    def update_user(user):
-        updated_user = create_user(email=user.email, password="password")
-        updated_user.name = user.name
-        updated_user.bio = user.bio
-        updated_user.profile_picture = user.profile_picture
-        return updated_user
-
-    db.relational.update_user.side_effect = update_user
-    db.relational.documents_in_group.return_value = [
-        DocumentInfo(
-            user_id=uuid.uuid4(),
-            id=uuid.uuid4(),
-            title=f"Document {i}",
-            type="txt",
-            group_ids=[uuid.uuid4()],
-            created_at=datetime.utcnow(),
-            updated_at=datetime.utcnow(),
-            version="1",
-            metadata={},
-            size_in_bytes=1000,
-        )
-        for i in range(100)
-    ]
-
-    return db
-
-
-def mock_search(*args, **kwargs):
-    return [
-        VectorSearchResult(
-            **{
-                "fragment_id": "c68dc72e-fc23-5452-8f49-d7bd46088a96",
-                "extraction_id": "3f3d47f3-8baf-58eb-8bc2-0171fb1c6e09",
-                "document_id": "3e157b3a-8469-51db-90d9-52e7d896b49b",
-                "user_id": "2acb499e-8428-543b-bd85-0d9098718220",
-                "group_ids": [],
-                "score": 0.23943702876567796,
-                "text": "Alternate Base Rate means, for any day, a rate per annum  equal to the greatest of (i) the Prime Rate in effect on such day, (ii) the Federal Funds Effective Rate in effect on such day \nplus  \u00bd of 1% and (iii) the sum of (a) the Adjusted LIBO Rate that would be payable onsuch day for a Eurodollar Borrowing with a one-month interest period",
-                "metadata": {
-                    "title": "uber_2021.pdf",
-                    "associated_query": "What is the capital of France?",
-                },
-            }
-        ),
-    ]
-
-
-@pytest.fixture(scope="function")
-def app_client(mock_db, mock_auth_wrapper):
-    config = R2RConfig.load(config_name="default")
-    providers = MagicMock()
-    providers.auth = MagicMock(spec=R2RAuthProvider)
-    providers.database = MagicMock(spec=PostgresDBProvider)
-    providers.database.vector = MagicMock()
-    providers.orchestration = MagicMock(spec=HatchetOrchestrationProvider)
-    providers.database.vx = MagicMock()
-    providers.parsing = MagicMock(spec=UnstructuredParsingProvider)
-    providers.auth.login.return_value = {
-        "access_token": Token(token="access_token", token_type="access"),
-        "refresh_token": Token(token="refresh_token", token_type="refresh"),
-    }
-    providers.auth.auth_wrapper = mock_auth_wrapper
-    providers.auth.register.side_effect = mock_db.relational.create_user
-    providers.auth.verify_email.return_value = {
-        "message": "Email verified successfully"
-    }
-    providers.auth.change_password.return_value = {
-        "message": "Password changed successfully"
-    }
-    providers.auth.request_password_reset.return_value = {
-        "message": "If the email exists, a reset link has been sent"
-    }
-    providers.auth.confirm_password_reset.return_value = {
-        "message": "Password reset successfully"
-    }
-    providers.auth.logout.return_value = {"message": "Logged out successfully"}
-    providers.database.vector.semantic_search = mock_search
-    providers.database.vector.hybrid_search = mock_search
-
-    app = (
-        R2RBuilder(config)
-        .with_provider("auth_provider_override", providers.auth)
-        .with_provider(
-            "orchestration_provider_override", providers.orchestration
-        )
-        .with_provider("database_provider_override", providers.database)
-        .with_provider("parsing_provider_override", providers.parsing)
-        .build()
-    )
-
-    return TestClient(app.app)
-
-
-@pytest.fixture(scope="function")
-def r2r_client(app_client):
-    return R2RClient(base_url="http://testserver", custom_client=app_client)
-
-
-def test_health_check(r2r_client):
-    response = r2r_client.health()
-    print("response = ", response)
-    assert response["results"] == {"response": "ok"}
-
-
-def test_register_user(r2r_client, mock_db):
-    user_data = {"email": "test@example.com", "password": "testpassword"}
-    response = r2r_client.register(**user_data)
-    assert "results" in response
-    assert response["results"]["email"] == user_data["email"]
-    assert "id" in response["results"]
-    assert "hashed_password" in response["results"]
-    mock_db.relational.create_user.assert_called_once()
-
-
-def test_login_user(r2r_client, mock_db):
-    user_data = {"email": "login_test@example.com", "password": "testpassword"}
-    mock_db.relational.get_user_by_email.return_value = None
-    response = r2r_client.register(**user_data)
-
-    mock_db.relational.get_user_by_email.return_value = UserResponse(
-        id=uuid.UUID("12345678-1234-5678-1234-567812345678"),
-        email=user_data["email"],
-        hashed_password="hashed_" + user_data["password"],
-        is_active=True,
-        is_superuser=False,
-        verification_code_expiry=None,
-    )
-    response = r2r_client.login(**user_data)
-    assert "results" in response
-    assert "access_token" in response["results"]
-    assert "refresh_token" in response["results"]
-
-
-def test_authenticated_search(r2r_client, mock_db):
-    # Register and login
-    user_data = {
-        "email": "search_test@example.com",
-        "password": "testpassword",
-    }
-    r2r_client.register(**user_data)
-    login_response = r2r_client.login(**user_data)
-
-    # Perform search
-    search_query = "test query"
-    search_response = r2r_client.search(search_query)
-    results = search_response["results"]
-    print("results = ", results)
-    assert "vector_search_results" in results
-    assert len(results["vector_search_results"]) > 0
-    assert (
-        results["vector_search_results"][0]["fragment_id"]
-        == "c68dc72e-fc23-5452-8f49-d7bd46088a96"
-    )
-    assert (
-        results["vector_search_results"][0]["text"]
-        == "Alternate Base Rate means, for any day, a rate per annum  equal to the greatest of (i) the Prime Rate in effect on such day, (ii) the Federal Funds Effective Rate in effect on such day \nplus  \u00bd of 1% and (iii) the sum of (a) the Adjusted LIBO Rate that would be payable onsuch day for a Eurodollar Borrowing with a one-month interest period"
-    )
-    assert results["vector_search_results"][0]["score"] == 0.23943702876567796
-
-
-@pytest.mark.asyncio
-async def test_change_password(r2r_client, mock_db):
-    # Register and login
-    user_data = {
-        "email": "change_pass@example.com",
-        "password": "old_password",
-    }
-    r2r_client.register(**user_data)
-    r2r_client.login(**user_data)
-
-    # Change password
-    response = r2r_client.change_password("old_password", "new_password")
-    print("response = ", response)
-    assert response["results"]["message"] == "Password changed successfully"
-
-    # Try logging in with new password
-    login_response = r2r_client.login(
-        email="change_pass@example.com", password="new_password"
-    )
-    assert "access_token" in login_response["results"]
-
-
-@pytest.mark.asyncio
-async def test_password_reset_flow(r2r_client, mock_db):
-    # Register a user
-    user_data = {"email": "reset_pass@example.com", "password": "old_password"}
-    r2r_client.register(**user_data)
-
-    # Request password reset
-    reset_response = r2r_client.request_password_reset(
-        "reset_pass@example.com"
-    )
-    print("reset_response = ", reset_response)
-    assert "message" in reset_response["results"]
-
-    # Confirm password reset (we'll need to mock the reset token)
-    mock_reset_token = "mock_reset_token"
-    confirm_response = r2r_client.confirm_password_reset(
-        mock_reset_token, "new_password"
-    )
-    assert (
-        confirm_response["results"]["message"] == "Password reset successfully"
-    )
-
-    # Try logging in with new password
-    login_response = r2r_client.login(
-        email="reset_pass@example.com", password="new_password"
-    )
-    assert "access_token" in login_response["results"]
-
-
-@pytest.mark.asyncio
-async def test_logout(r2r_client, mock_db):
-    # Register and login
-    user_data = {"email": "logout@example.com", "password": "password123"}
-    r2r_client.register(**user_data)
-    r2r_client.login(**user_data)
-
-    # Logout
-    logout_response = r2r_client.logout()
-    assert logout_response["results"]["message"] == "Logged out successfully"
-
-    # Ensure client's tokens are cleared
-    assert r2r_client.access_token is None
-    assert r2r_client._refresh_token is None
-
-
-# @pytest.mark.asyncio
-# async def test_user_profile(r2r_client, mock_db):
-#     # Register and login
-#     user_data = {"email": "profile@example.com", "password": "password123"}
-#     r2r_client.register(**user_data)
-#     r2r_client.login(**user_data)
-
-#     # Get user profile
-#     # mock_db.relational.get_user_by_id.return_value = create_user(
-#     #     UserCreate(email="profile@example.com", password="password")
-#     # )
-#     # profile = r2r_client.user()
-
-#     # assert profile["results"]["email"] == "profile@example.com"
-
-#     # Update user profile
-#     updated_profile = r2r_client.update_user(name="John Doe", bio="Test bio")
-#     assert updated_profile["results"]["name"] == "John Doe"
-#     assert updated_profile["results"]["bio"] == "Test bio"
-
-
-# @pytest.mark.asyncio
-# async def test_documents_in_group(r2r_client, mock_db):
-#     # Register and login as a superuser
-#     user_data = {"email": "superuser@example.com", "password": "password123"}
-#     r2r_client.register(**user_data)
-
-#     # Set the mock user as a superuser
-#     # mock_db.relational.get_user_by_email.return_value.is_superuser = True
-
-#     r2r_client.login(**user_data)
-
-#     # Get documents in group
-#     group_id = uuid.uuid4()
-#     response = r2r_client.documents_in_group(group_id)
-
-#     assert "results" in response
-#     assert len(response["results"]) == 100  # Default limit
-#     assert response["results"][0]["title"] == "Document 0"
-#     assert response["results"][0]["type"] == "txt"
diff --git a/py/tests/test_config.py b/py/tests/test_config.py
deleted file mode 100644
index 53b36e74e..000000000
--- a/py/tests/test_config.py
+++ /dev/null
@@ -1,199 +0,0 @@
-import asyncio
-from unittest.mock import Mock, mock_open, patch
-
-import pytest
-import toml
-
-from core import DocumentType, R2RConfig
-
-
-@pytest.fixture(scope="session", autouse=True)
-def event_loop_policy():
-    asyncio.set_event_loop_policy(asyncio.DefaultEventLoopPolicy())
-
-
-@pytest.fixture(scope="function", autouse=True)
-async def cleanup_tasks():
-    yield
-    tasks = [t for t in asyncio.all_tasks() if t is not asyncio.current_task()]
-    [task.cancel() for task in tasks]
-    await asyncio.gather(*tasks, return_exceptions=True)
-
-
-@pytest.fixture(autouse=True)
-async def manage_async_pipes():
-    async_pipes = []
-    yield async_pipes
-    for pipe in async_pipes:
-        await pipe.shutdown()
-
-
-@pytest.fixture
-def mock_bad_file():
-    mock_data = toml.dumps({})
-    with patch("builtins.open", mock_open(read_data=mock_data)) as m:
-        yield m
-
-
-@pytest.fixture
-def mock_file():
-    mock_data = toml.dumps(
-        {
-            "auth": {
-                "provider": "r2r",
-                "access_token_lifetime_in_minutes": 60,
-                "refresh_token_lifetime_in_days": 7,
-                "require_authentication": False,
-                "require_email_verification": False,
-                "default_admin_email": "admin@example.com",
-                "default_admin_password": "change_me_immediately",
-            },
-            "completion": {
-                "provider": "litellm",
-                "concurrent_request_limit": 16,
-                "generation_config": {
-                    "model": "openai/gpt-4o",
-                    "temperature": 0.1,
-                    "top_p": 1,
-                    "max_tokens_to_sample": 1024,
-                    "stream": False,
-                    "add_generation_kwargs": {},
-                },
-            },
-            "crypto": {"provider": "bcrypt"},
-            "database": {"provider": "postgres"},
-            "parsing": {"provider": "r2r", "excluded_parsers": ["mp4"]},
-            "chunking": {"provider": "r2r", "method": "recursive"},
-            "embedding": {
-                "provider": "litellm",
-                "base_model": "text-embedding-3-small",
-                "base_dimension": 512,
-                "batch_size": 128,
-                "add_title_as_prefix": False,
-                "rerank_model": "None",
-                "concurrent_request_limit": 256,
-            },
-            "ingestion": {
-                "excluded_parsers": ["mp4"],
-                "override_parsers": [
-                    {"document_type": "pdf", "parser": "PDFParser"}
-                ],
-                "text_splitter": {
-                    "type": "recursive_character",
-                    "chunk_size": 512,
-                    "chunk_overlap": 20,
-                },
-            },
-            "kg": {"provider": "None"},
-            "logging": {
-                "provider": "local",
-                "log_table": "logs",
-                "log_info_table": "log_info",
-            },
-            "agent": {
-                "system_instruction_name": "rag_agent",
-                "tool_names": ["search"],
-            },
-            "prompt": {"provider": "r2r"},
-            "file": {"provider": "postgres"},
-        }
-    )
-    with patch("builtins.open", mock_open(read_data=mock_data)) as m:
-        yield m
-
-
-@pytest.mark.asyncio
-async def test_r2r_config_loading_required_keys(mock_bad_file):
-    with pytest.raises(KeyError):
-        R2RConfig.from_toml("r2r.toml")
-
-
-@pytest.mark.asyncio
-async def test_r2r_config_loading(mock_file):
-    try:
-        config = R2RConfig.from_toml("r2r.toml")
-        assert (
-            config.embedding.provider == "litellm"
-        ), "Provider should match the mock data"
-    except Exception as e:
-        pytest.fail(f"Test failed with exception: {e}")
-
-
-@pytest.fixture
-def mock_redis_client():
-    return Mock()
-
-
-def test_r2r_config_serialization(mock_file, mock_redis_client):
-    config = R2RConfig.from_toml("r2r.toml")
-    config.save_to_redis(mock_redis_client, "test_key")
-    mock_redis_client.set.assert_called_once()
-    saved_data = toml.loads(mock_redis_client.set.call_args[0][1])
-    assert saved_data["embedding"]["provider"] == "litellm"
-
-
-def test_r2r_config_deserialization(mock_file, mock_redis_client):
-    config_data = {
-        "embedding": {
-            "provider": "litellm",
-            "base_model": "text-embedding-3-small",
-            "base_dimension": 512,
-            "batch_size": 128,
-            "add_title_as_prefix": False,
-            "rerank_model": "None",
-            "concurrent_request_limit": 256,
-        },
-        "kg": {"provider": "None"},
-        "parsing": {"provider": "r2r"},
-        "chunking": {"provider": "r2r"},
-        "completion": {"provider": "litellm"},
-        "logging": {
-            "provider": "local",
-            "log_table": "logs",
-            "log_info_table": "log_info",
-        },
-        "prompt": {"provider": "r2r"},
-        "database": {"provider": "postgres"},
-    }
-    mock_redis_client.get.return_value = toml.dumps(config_data)
-    config = R2RConfig.load_from_redis(mock_redis_client, "test_key")
-    assert config.chunking.provider == "r2r"
-
-
-def test_r2r_config_missing_section():
-    invalid_data = {
-        "embedding": {
-            "provider": "litellm",
-            "base_model": "text-embedding-3-small",
-            "base_dimension": 512,
-            "batch_size": 128,
-            "add_title_as_prefix": False,
-        }
-    }
-    with patch("builtins.open", mock_open(read_data=toml.dumps(invalid_data))):
-        with pytest.raises(KeyError):
-            R2RConfig.from_toml("r2r.toml")
-
-
-def test_r2r_config_missing_required_key():
-    invalid_data = {
-        "auth": {"access_token_lifetime_in_minutes": 60},
-        "embedding": {
-            "base_model": "text-embedding-3-small",
-            "base_dimension": 512,
-            "batch_size": 128,
-            "add_title_as_prefix": False,
-        },
-        "kg": {"provider": "None"},
-        "completion": {"provider": "litellm"},
-        "logging": {
-            "provider": "local",
-            "log_table": "logs",
-            "log_info_table": "log_info",
-        },
-        "prompt": {"provider": "r2r"},
-        "database": {"provider": "postgres"},
-    }
-    with patch("builtins.open", mock_open(read_data=toml.dumps(invalid_data))):
-        with pytest.raises(KeyError):
-            R2RConfig.from_toml("r2r.toml")
diff --git a/py/tests/test_database.py b/py/tests/test_database.py
deleted file mode 100644
index 3f27836a5..000000000
--- a/py/tests/test_database.py
+++ /dev/null
@@ -1,175 +0,0 @@
-import random
-import uuid
-
-import pytest
-from dotenv import load_dotenv
-
-from core import (
-    DatabaseConfig,
-    DatabaseProvider,
-    Vector,
-    VectorEntry,
-    VectorSearchSettings,
-    generate_id_from_label,
-)
-from core.providers import PostgresDBProvider
-
-load_dotenv()
-
-
-# Sample vector entries
-def generate_random_vector_entry(id: str, dimension: int) -> VectorEntry:
-    vector_data = [random.random() for _ in range(dimension)]
-    metadata = {"key": f"value_{id}"}
-    return VectorEntry(
-        fragment_id=generate_id_from_label(id),
-        extraction_id=uuid.uuid4(),
-        document_id=uuid.uuid4(),
-        user_id=uuid.uuid4(),
-        group_ids=[uuid.uuid4()],
-        vector=Vector(data=vector_data),
-        text=f"Sample text for {id}",
-        metadata=metadata,
-    )
-
-
-dimension = 3
-num_entries = 100
-sample_entries = [
-    generate_random_vector_entry(f"id_{i}", dimension)
-    for i in range(num_entries)
-]
-
-
-# Fixture for PostgresDBProvider
-@pytest.fixture
-def pg_vector_db():
-    random_collection_name = (
-        f"test_collection_{random.randint(0, 1_000_000_000)}"
-    )
-    config = DatabaseConfig.create(
-        provider="postgres", vecs_collection=random_collection_name
-    )
-    db = PostgresDBProvider(config, dimension=3)
-    yield db
-    # Teardown
-    db.vx.delete_collection(db.config.vecs_collection)
-
-
-@pytest.mark.parametrize("db_fixture", ["pg_vector_db"])
-def test_db_initialization(request, db_fixture):
-    db = request.getfixturevalue(db_fixture)
-    assert isinstance(db, DatabaseProvider)
-
-
-@pytest.mark.parametrize("db_fixture", ["pg_vector_db"])
-def test_db_copy_and_search(request, db_fixture):
-    db = request.getfixturevalue(db_fixture)
-    db.vector.upsert(sample_entries[0])
-    results = db.vector.semantic_search(
-        query_vector=sample_entries[0].vector.data,
-        search_settings=VectorSearchSettings(),
-    )
-    assert len(results) == 1
-    assert results[0].fragment_id == sample_entries[0].fragment_id
-    assert results[0].score == pytest.approx(1.0, rel=1e-3)
-
-
-@pytest.mark.parametrize("db_fixture", ["pg_vector_db"])
-def test_db_upsert_and_search(request, db_fixture):
-    db = request.getfixturevalue(db_fixture)
-    db.vector.upsert(sample_entries[0])
-    results = db.vector.semantic_search(
-        query_vector=sample_entries[0].vector.data,
-        search_settings=VectorSearchSettings(),
-    )
-    assert len(results) == 1
-    assert results[0].fragment_id == sample_entries[0].fragment_id
-    assert results[0].score == pytest.approx(1.0, rel=1e-3)
-
-
-@pytest.mark.parametrize("db_fixture", ["pg_vector_db"])
-def test_imperfect_match(request, db_fixture):
-    db = request.getfixturevalue(db_fixture)
-    db.vector.upsert(sample_entries[0])
-    query_vector = [val + 0.1 for val in sample_entries[0].vector.data]
-    results = db.vector.semantic_search(
-        query_vector=query_vector, search_settings=VectorSearchSettings()
-    )
-    assert len(results) == 1
-    assert results[0].fragment_id == sample_entries[0].fragment_id
-    assert results[0].score < 1.0
-
-
-@pytest.mark.parametrize("db_fixture", ["pg_vector_db"])
-def test_bulk_insert_and_search(request, db_fixture):
-    db = request.getfixturevalue(db_fixture)
-    for entry in sample_entries:
-        db.vector.upsert(entry)
-
-    query_vector = sample_entries[0].vector.data
-    results = db.vector.semantic_search(
-        query_vector=query_vector,
-        search_settings=VectorSearchSettings(search_limit=5),
-    )
-    assert len(results) == 5
-    assert results[0].fragment_id == sample_entries[0].fragment_id
-    assert results[0].score == pytest.approx(1.0, rel=1e-3)
-
-
-@pytest.mark.parametrize("db_fixture", ["pg_vector_db"])
-def test_search_with_filters(request, db_fixture):
-    db = request.getfixturevalue(db_fixture)
-    for entry in sample_entries:
-        db.vector.upsert(entry)
-
-    filtered_id = sample_entries[0].metadata["key"]
-    query_vector = sample_entries[0].vector.data
-    results = db.vector.semantic_search(
-        query_vector=query_vector,
-        search_settings=VectorSearchSettings(filters={"key": filtered_id}),
-    )
-    assert len(results) == 1
-    assert results[0].fragment_id == sample_entries[0].fragment_id
-    assert results[0].metadata["key"] == filtered_id
-
-
-@pytest.mark.parametrize("db_fixture", ["pg_vector_db"])
-def test_delete(request, db_fixture):
-    db = request.getfixturevalue(db_fixture)
-    for entry in sample_entries:
-        db.vector.upsert(entry)
-
-    key_to_delete = sample_entries[0].metadata["key"]
-    db.vector.delete(filters={"key": {"$eq": key_to_delete}})
-
-    results = db.vector.semantic_search(
-        query_vector=sample_entries[0].vector.data,
-        search_settings=VectorSearchSettings(),
-    )
-    assert all(result.metadata["key"] != key_to_delete for result in results)
-
-
-@pytest.mark.parametrize("db_fixture", ["pg_vector_db"])
-def test_upsert(request, db_fixture):
-    db = request.getfixturevalue(db_fixture)
-    db.vector.upsert(sample_entries[0])
-    modified_entry = VectorEntry(
-        fragment_id=sample_entries[0].fragment_id,
-        extraction_id=sample_entries[0].extraction_id,
-        document_id=sample_entries[0].document_id,
-        user_id=sample_entries[0].user_id,
-        group_ids=sample_entries[0].group_ids,
-        vector=Vector(data=[0.5, 0.5, 0.5]),
-        text="Modified text",
-        metadata={"key": "new_value"},
-    )
-    db.vector.upsert(modified_entry)
-
-    results = db.vector.semantic_search(
-        query_vector=[0.5, 0.5, 0.5], search_settings=VectorSearchSettings()
-    )
-    assert len(results) == 1
-    assert results[0].fragment_id == sample_entries[0].fragment_id
-    assert results[0].metadata["key"] == "new_value"
-    assert results[0].text == "Modified text"
diff --git a/py/tests/test_embedding.py b/py/tests/test_embedding.py
deleted file mode 100644
index d9ffe67c3..000000000
--- a/py/tests/test_embedding.py
+++ /dev/null
@@ -1,338 +0,0 @@
-import asyncio
-import contextlib
-
-import pytest
-
-from core import EmbeddingConfig
-
-
-@pytest.fixture(scope="session", autouse=True)
-def event_loop_policy():
-    asyncio.set_event_loop_policy(asyncio.DefaultEventLoopPolicy())
-
-
-@pytest.fixture(scope="function", autouse=True)
-async def cleanup_tasks():
-    yield
-    tasks = [t for t in asyncio.all_tasks() if t is not asyncio.current_task()]
-    [task.cancel() for task in tasks]
-    await asyncio.gather(*tasks, return_exceptions=True)
-
-
-from core.providers import LiteLLMEmbeddingProvider
-
-
-@pytest.fixture
-def litellm_provider():
-    config = EmbeddingConfig(
-        provider="litellm",
-        base_model="text-embedding-3-small",
-        base_dimension=1536,
-    )
-    return LiteLLMEmbeddingProvider(config)
-
-
-def test_litellm_initialization(litellm_provider):
-    assert isinstance(litellm_provider, LiteLLMEmbeddingProvider)
-    assert litellm_provider.base_model == "text-embedding-3-small"
-    assert litellm_provider.base_dimension == 1536
-
-
-def test_litellm_invalid_provider_initialization():
-    config = EmbeddingConfig(provider="invalid_provider")
-    with pytest.raises(ValueError):
-        LiteLLMEmbeddingProvider(config)
-
-
-def test_litellm_get_embedding(litellm_provider):
-    embedding = litellm_provider.get_embedding("test text")
-    assert len(embedding) == 1536
-    assert isinstance(embedding, list)
-
-
-@pytest.mark.asyncio
-async def test_litellm_async_get_embedding(litellm_provider):
-    with contextlib.suppress(asyncio.CancelledError):
-        embedding = await litellm_provider.async_get_embedding("test text")
-        assert len(embedding) == 1536
-        assert isinstance(embedding, list)
-
-
-def test_litellm_get_embeddings(litellm_provider):
-    embeddings = litellm_provider.get_embeddings(["text1", "text2"])
-    assert len(embeddings) == 2
-    assert all(len(emb) == 1536 for emb in embeddings)
-
-
-@pytest.mark.asyncio
-async def test_litellm_async_get_embeddings(litellm_provider):
-    with contextlib.suppress(asyncio.CancelledError):
-        embeddings = await litellm_provider.async_get_embeddings(
-            ["text1", "text2"]
-        )
-        assert len(embeddings) == 2
-        assert all(len(emb) == 1536 for emb in embeddings)
-
-
-def test_litellm_missing_provider():
-    config = EmbeddingConfig()
-    with pytest.raises(ValueError, match="Must set provider"):
-        LiteLLMEmbeddingProvider(config)
-
-
-def test_litellm_incorrect_provider():
-    config = EmbeddingConfig(provider="not_litellm")
-    with pytest.raises(
-        ValueError, match="Provider 'not_litellm' is not supported"
-    ):
-        LiteLLMEmbeddingProvider(config)
-
-
-def test_litellm_rerank_model_not_supported():
-    config = EmbeddingConfig(
-        provider="litellm",
-        base_model="text-embedding-3-small",
-        base_dimension=1536,
-        rerank_model="some-model",
-    )
-    with pytest.raises(
-        ValueError, match="does not support separate reranking"
-    ):
-        LiteLLMEmbeddingProvider(config)
-
-
-def test_litellm_unsupported_stage():
-    config = EmbeddingConfig(
-        provider="litellm",
-        base_model="text-embedding-3-small",
-        base_dimension=1536,
-    )
-    provider = LiteLLMEmbeddingProvider(config)
-    with pytest.raises(
-        ValueError, match="LiteLLMEmbeddingProvider only supports search stage"
-    ):
-        provider.get_embedding(
-            "test", stage=LiteLLMEmbeddingProvider.PipeStage.RERANK
-        )
-
-
-@pytest.mark.asyncio
-async def test_litellm_async_unsupported_stage():
-    config = EmbeddingConfig(
-        provider="litellm",
-        base_model="text-embedding-3-small",
-        base_dimension=1536,
-    )
-    provider = LiteLLMEmbeddingProvider(config)
-    with pytest.raises(
-        ValueError, match="LiteLLMEmbeddingProvider only supports search stage"
-    ):
-        await provider.async_get_embedding(
-            "test", stage=LiteLLMEmbeddingProvider.PipeStage.RERANK
-        )
-
-
-def test_litellm_tokenize_string_not_implemented():
-    config = EmbeddingConfig(
-        provider="litellm",
-        base_model="text-embedding-3-small",
-        base_dimension=1536,
-    )
-    provider = LiteLLMEmbeddingProvider(config)
-    with pytest.raises(
-        NotImplementedError,
-        match="Tokenization is not supported by LiteLLMEmbeddingProvider",
-    ):
-        provider.tokenize_string(
-            "test",
-            "text-embedding-3-small",
-            LiteLLMEmbeddingProvider.PipeStage.BASE,
-        )
-
-
-@pytest.mark.asyncio
-async def test_litellm_async_get_embeddings_unsupported_stage():
-    config = EmbeddingConfig(
-        provider="litellm",
-        base_model="text-embedding-3-small",
-        base_dimension=1536,
-    )
-    provider = LiteLLMEmbeddingProvider(config)
-    with pytest.raises(
-        ValueError, match="LiteLLMEmbeddingProvider only supports search stage"
-    ):
-        await provider.async_get_embeddings(
-            ["test1", "test2"], stage=LiteLLMEmbeddingProvider.PipeStage.RERANK
-        )
-
-
-# You might also want to test error handling in get_embedding and get_embeddings
-def test_litellm_get_embedding_error_handling(mocker):
-    config = EmbeddingConfig(
-        provider="litellm",
-        base_model="text-embedding-3-small",
-        base_dimension=1536,
-    )
-    provider = LiteLLMEmbeddingProvider(config)
-    mocker.patch.object(
-        provider, "litellm_embedding", side_effect=Exception("Test error")
-    )
-    with pytest.raises(Exception, match="Test error"):
-        provider.get_embedding("test")
-
-
-@pytest.mark.asyncio
-async def test_litellm_async_get_embedding_error_handling(mocker):
-    config = EmbeddingConfig(
-        provider="litellm",
-        base_model="text-embedding-3-small",
-        base_dimension=1536,
-    )
-    provider = LiteLLMEmbeddingProvider(config)
-    mocker.patch.object(
-        provider, "litellm_aembedding", side_effect=Exception("Test error")
-    )
-    with pytest.raises(Exception, match="Test error"):
-        await provider.async_get_embedding("test")
-
-
-from core.providers import OpenAIEmbeddingProvider
-
-
-@pytest.fixture
-def openai_provider():
-    config = EmbeddingConfig(
-        provider="openai",
-        base_model="text-embedding-3-small",
-        base_dimension=1536,
-    )
-    return OpenAIEmbeddingProvider(config)
-
-
-def test_openai_initialization(openai_provider):
-    assert isinstance(openai_provider, OpenAIEmbeddingProvider)
-    assert openai_provider.base_model == "text-embedding-3-small"
-    assert openai_provider.base_dimension == 1536
-
-
-def test_openai_invalid_provider_initialization():
-    config = EmbeddingConfig(provider="invalid_provider")
-    with pytest.raises(ValueError):
-        OpenAIEmbeddingProvider(config)
-
-
-def test_openai_get_embedding(openai_provider):
-    embedding = openai_provider.get_embedding("test text")
-    assert len(embedding) == 1536
-    assert isinstance(embedding, list)
-
-
-@pytest.mark.asyncio
-async def test_openai_async_get_embedding(openai_provider):
-    with contextlib.suppress(asyncio.CancelledError):
-        embedding = await openai_provider.async_get_embedding("test text")
-        assert len(embedding) == 1536
-        assert isinstance(embedding, list)
-
-
-def test_openai_get_embeddings(openai_provider):
-    embeddings = openai_provider.get_embeddings(["text1", "text2"])
-    assert len(embeddings) == 2
-    assert all(len(emb) == 1536 for emb in embeddings)
-
-
-@pytest.mark.asyncio
-async def test_openai_async_get_embeddings(openai_provider):
-    with contextlib.suppress(asyncio.CancelledError):
-        embeddings = await openai_provider.async_get_embeddings(
-            ["text1", "text2"]
-        )
-        assert len(embeddings) == 2
-        assert all(len(emb) == 1536 for emb in embeddings)
-
-
-def test_openai_tokenize_string(openai_provider):
-    tokens = openai_provider.tokenize_string(
-        "test text", "text-embedding-3-small"
-    )
-    assert isinstance(tokens, list)
-    assert all(isinstance(token, int) for token in tokens)
-
-
-def test_openai_missing_provider():
-    config = EmbeddingConfig()
-    with pytest.raises(ValueError, match="Must set provider"):
-        OpenAIEmbeddingProvider(config)
-
-
-def test_openai_incorrect_provider():
-    config = EmbeddingConfig(provider="not_openai")
-    with pytest.raises(
-        ValueError, match="Provider 'not_openai' is not supported"
-    ):
-        OpenAIEmbeddingProvider(config)
-
-
-def test_openai_unsupported_model():
-    config = EmbeddingConfig(
-        provider="openai", base_model="unsupported-model", base_dimension=1536
-    )
-    with pytest.raises(ValueError, match="embedding model .* not supported"):
-        OpenAIEmbeddingProvider(config)
-
-
-def test_openai_wrong_dimension():
-    config = EmbeddingConfig(
-        provider="openai",
-        base_model="text-embedding-3-small",
-        base_dimension=2048,
-    )
-    with pytest.raises(ValueError, match="Dimensions .* are not supported"):
-        OpenAIEmbeddingProvider(config)
-
-
-def test_openai_missing_model_or_dimension():
-    config = EmbeddingConfig(provider="openai")
-    with pytest.raises(
-        ValueError,
-        match="Must set base_model in order to initialize OpenAIEmbeddingProvider.",
-    ):
-        OpenAIEmbeddingProvider(config)
-
-
-def test_openai_rerank_model_not_supported():
-    config = EmbeddingConfig(
-        provider="openai",
-        base_model="text-embedding-3-small",
-        base_dimension=1536,
-        rerank_model="some-model",
-    )
-    with pytest.raises(
-        ValueError, match="does not support separate reranking"
-    ):
-        OpenAIEmbeddingProvider(config)
-
-
-from core.providers import OllamaEmbeddingProvider
-
-
-@pytest.fixture
-def ollama_provider():
-    config = EmbeddingConfig(
-        provider="ollama",
-        base_model="mxbai-embed-large",
-        base_dimension=1024,
-    )
-    return OllamaEmbeddingProvider(config)
-
-
-def test_ollama_initialization(ollama_provider):
-    assert isinstance(ollama_provider, OllamaEmbeddingProvider)
-    assert ollama_provider.base_model == "mxbai-embed-large"
-    assert ollama_provider.base_dimension == 1024
-
-
-def test_ollama_invalid_provider_initialization():
-    config = EmbeddingConfig(provider="invalid_provider")
-    with pytest.raises(ValueError):
-        OllamaEmbeddingProvider(config)
diff --git a/py/tests/test_end_to_end.py b/py/tests/test_end_to_end.py
deleted file mode 100644
index 4d5e1890d..000000000
--- a/py/tests/test_end_to_end.py
+++ /dev/null
@@ -1,388 +0,0 @@
-# import asyncio
-# import os
-# import uuid
-
-# import pytest
-# from fastapi.datastructures import UploadFile
-
-# from core import (
-#     Document,
-#     DocumentInfo,
-#     DocumentType,
-#     GenerationConfig,
-#     R2RConfig,
-#     R2REngine,
-#     R2RPipeFactory,
-#     R2RPipelineFactory,
-#     R2RProviderFactory,
-#     RunLoggingSingleton,
-#     UserResponse,
-#     VectorSearchSettings,
-#     generate_id_from_label,
-# )
-
-
-# @pytest.fixture(scope="session", autouse=True)
-# def event_loop_policy():
-#     asyncio.set_event_loop_policy(asyncio.DefaultEventLoopPolicy())
-
-
-# @pytest.fixture(scope="function", autouse=True)
-# async def cleanup_tasks():
-#     yield
-#     tasks = [t for t in asyncio.all_tasks() if t is not asyncio.current_task()]
-#     [task.cancel() for task in tasks]
-#     await asyncio.gather(*tasks, return_exceptions=True)
-
-
-# @pytest.fixture(scope="function")
-# def app(request):
-#     config = R2RConfig.from_toml()
-#     config.logging.provider = "local"
-#     config.logging.logging_path = uuid.uuid4().hex
-
-#     config.database.provider = "postgres"
-#     config.database.vecs_collection = config.logging.logging_path
-#     try:
-#         providers = R2RProviderFactory(config).create_providers()
-#         pipes = R2RPipeFactory(config, providers).create_pipes()
-#         pipelines = R2RPipelineFactory(config, pipes).create_pipelines()
-
-#         r2r = R2REngine(
-#             config=config,
-#             providers=providers,
-#             pipelines=pipelines,
-#             agents={},
-#         )
-
-#         try:
-#             if os.path.exists(config.logging.logging_path):
-#                 os.remove(config.logging.logging_path)
-
-#             RunLoggingSingleton.configure(config.logging)
-#         except:
-#             RunLoggingSingleton._config.logging_path = (
-#                 config.logging.logging_path
-#             )
-
-#         yield r2r
-#     finally:
-#         if os.path.exists(config.logging.logging_path):
-#             os.remove(config.logging.logging_path)
-
-
-# @pytest.fixture
-# def logging_connection():
-#     return RunLoggingSingleton()
-
-
-# @pytest.fixture
-# def user():
-#     return UserResponse(
-#         id=generate_id_from_label("user"),
-#         email="test@test.com",
-#         hashed_password="test",
-#     )
-
-
-# @pytest.mark.parametrize("app", ["postgres"], indirect=True)
-# @pytest.mark.asyncio
-# async def test_ingest_txt_document(app, logging_connection):
-#     user_id = uuid.uuid4()
-#     group_id = uuid.uuid4()
-#     doc_id = uuid.uuid4()
-#     await app.aingest_documents(
-#         [
-#             Document(
-#                 id=doc_id,
-#                 group_ids=[group_id],
-#                 user_id=user_id,
-#                 data="The quick brown fox jumps over the lazy dog.",
-#                 type=DocumentType.TXT,
-#                 metadata={"author": "John Doe"},
-#             ),
-#         ]
-#     )
-
-#     # Verify the document was ingested correctly
-#     docs_overview = await app.adocuments_overview(document_ids=[doc_id])
-#     assert len(docs_overview) == 1
-#     assert docs_overview[0].id == doc_id
-#     assert docs_overview[0].group_ids == [group_id]
-#     assert docs_overview[0].user_id == user_id
-#     assert docs_overview[0].type == DocumentType.TXT
-#     assert docs_overview[0].metadata["author"] == "John Doe"
-#     assert docs_overview[0].ingestion_status == DocumentStatus.SUCCESS
-
-
-# @pytest.mark.parametrize("app", ["postgres"], indirect=True)
-# @pytest.mark.asyncio
-# async def test_ingest_txt_file(app, user):
-#     # Prepare the test data
-#     metadata = {"author": "John Doe"}
-#     files = [
-#         UploadFile(
-#             filename="test.txt",
-#             file=open(
-#                 os.path.join(
-#                     os.path.dirname(__file__),
-#                     "..",
-#                     "core",
-#                     "examples",
-#                     "data",
-#                     "test.txt",
-#                 ),
-#                 "rb",
-#             ),
-#         )
-#     ]
-#     # Set file size manually
-#     for file in files:
-#         file.file.seek(0, 2)  # Move to the end of the file
-#         file.size = file.file.tell()  # Get the file size
-#         file.file.seek(0)  # Move back to the start of the file
-#     await app.ingest_files(metadatas=[metadata], files=files, user=user)
-
-
-# @pytest.mark.parametrize("app", ["postgres"], indirect=True)
-# @pytest.mark.asyncio
-# async def test_ingest_search_txt_file(app, user, logging_connection):
-
-#     # Convert metadata to JSON string
-#     run_info = await logging_connection.get_info_logs(run_type_filter="search")
-
-#     # Prepare the test data
-#     metadata = {}
-#     files = [
-#         UploadFile(
-#             filename="aristotle.txt",
-#             file=open(
-#                 os.path.join(
-#                     os.path.dirname(__file__),
-#                     "..",
-#                     "core",
-#                     "examples",
-#                     "data",
-#                     "aristotle.txt",
-#                 ),
-#                 "rb",
-#             ),
-#         ),
-#     ]
-
-#     # Set file size manually
-#     for file in files:
-#         file.file.seek(0, 2)  # Move to the end of the file
-#         file.size = file.file.tell()  # Get the file size
-#         file.file.seek(0)  # Move back to the start of the file
-
-#     # Convert metadata to JSON string
-#     run_info = await logging_connection.get_info_logs(run_type_filter="search")
-
-#     ingestion_result = await app.ingest_files(
-#         files=files, user=user, metadatas=[metadata]
-#     )
-
-#     run_info = await logging_connection.get_info_logs(run_type_filter="search")
-
-#     search_results = await app.asearch("who was aristotle?")
-#     print("search results = ", search_results["vector_search_results"][0])
-#     assert len(search_results["vector_search_results"]) == 10
-#     assert (
-#         "was an Ancient Greek philosopher and polymath"
-#         in search_results["vector_search_results"][0]["text"]
-#     )
-
-#     search_results = await app.asearch(
-#         "who was aristotle?",
-#         vector_search_settings=VectorSearchSettings(search_limit=20),
-#     )
-#     assert len(search_results["vector_search_results"]) == 20
-#     assert (
-#         "was an Ancient Greek philosopher and polymath"
-#         in search_results["vector_search_results"][0]["text"]
-#     )
-#     ## test stream
-#     response = await app.rag(
-#         query="Who was aristotle?",
-#         rag_generation_config=GenerationConfig(
-#             **{"model": "gpt-4o-mini", "stream": True}
-#         ),
-#     )
-#     collector = ""
-#     async for chunk in response:
-#         collector += chunk
-#     assert "Aristotle" in collector
-#     assert "Greek" in collector
-#     assert "philosopher" in collector
-#     assert "polymath" in collector
-#     assert "Ancient" in collector
-
-
-# @pytest.mark.parametrize("app", ["postgres"], indirect=True)
-# @pytest.mark.asyncio
-# async def test_double_ingest(app, logging_connection):
-#     await app.aingest_documents(
-#         [
-#             Document(
-#                 id=generate_id_from_label("doc_1"),
-#                 group_ids=[generate_id_from_label("group_1")],
-#                 user_id=generate_id_from_label("user_id"),
-#                 data="The quick brown fox jumps over the lazy dog.",
-#                 type=DocumentType.TXT,
-#                 metadata={"author": "John Doe"},
-#             ),
-#         ]
-#     )
-#     search_results = await app.asearch("who was aristotle?")
-
-#     assert len(search_results["vector_search_results"]) == 1
-#     with pytest.raises(Exception):
-#         try:
-#             await app.aingest_documents(
-#                 [
-#                     Document(
-#                         id=generate_id_from_label("doc_1"),
-#                         group_ids=[generate_id_from_label("group_1")],
-#                         user_id=generate_id_from_label("user_id"),
-#                         data="The quick brown fox jumps over the lazy dog.",
-#                         type=DocumentType.TXT,
-#                         metadata={"author": "John Doe"},
-#                     ),
-#                 ]
-#             )
-#         except asyncio.CancelledError:
-#             pass
-
-
-# @pytest.mark.parametrize("app", ["postgres"], indirect=True)
-# @pytest.mark.asyncio
-# async def test_ingest_search_then_delete(app, logging_connection):
-#     # Ingest a document
-#     await app.aingest_documents(
-#         [
-#             Document(
-#                 id=generate_id_from_label("doc_1"),
-#                 group_ids=[generate_id_from_label("group_1")],
-#                 user_id=generate_id_from_label("user_1"),
-#                 data="The quick brown fox jumps over the lazy dog.",
-#                 type="txt",
-#                 metadata={"author": "John Doe"},
-#             ),
-#         ]
-#     )
-
-#     # Search for the document
-#     search_results = await app.asearch("who was aristotle?")
-
-#     # Verify that the search results are not empty
-#     assert (
-#         len(search_results["vector_search_results"]) > 0
-#     ), "Expected search results, but got none"
-#     assert (
-#         search_results["vector_search_results"][0]["text"]
-#         == "The quick brown fox jumps over the lazy dog."
-#     )
-
-#     # Delete the document
-#     delete_result = await app.adelete(filters={"author": {"$eq": "John Doe"}})
-
-#     # Verify the deletion was successful
-#     assert delete_result is None
-#     # Search for the document again
-#     search_results_2 = await app.asearch("who was aristotle?")
-
-#     # Verify that the search results are empty
-#     assert (
-#         len(search_results_2["vector_search_results"]) == 0
-#     ), f"Expected no search results, but got {search_results_2['vector_search_results']}"
-
-
-# @pytest.mark.parametrize("app", ["postgres"], indirect=True)
-# @pytest.mark.asyncio
-# async def test_ingest_user_documents(app, logging_connection):
-
-#     # user_id_0 = generate_id_from_label("user_0")
-#     # user_id_1 = generate_id_from_label("user_1")
-#     user_0 = app.register("user_0@test.com", "password")
-#     user_id_0 = user_0.id
-#     user_1 = app.register("user_1@test.com", "password")
-#     user_id_1 = user_1.id
-#     doc_id_0 = generate_id_from_label("doc_01")
-#     doc_id_1 = generate_id_from_label("doc_11")
-
-#     await app.aingest_documents(
-#         [
-#             Document(
-#                 id=doc_id_0,
-#                 group_ids=[generate_id_from_label("group_0")],
-#                 user_id=user_id_0,
-#                 data="The quick brown fox jumps over the lazy dog.",
-#                 type="txt",
-#                 metadata={"author": "John Doe"},
-#             ),
-#             Document(
-#                 id=doc_id_1,
-#                 group_ids=[generate_id_from_label("group_1")],
-#                 user_id=user_id_1,
-#                 data="The lazy dog jumps over the quick brown fox.",
-#                 type="txt",
-#                 metadata={"author": "John Doe"},
-#             ),
-#         ]
-#     )
-#     user_stats_results = await app.ausers_overview([user_id_0, user_id_1])
-#     print("user_stats_results = ", user_stats_results)
-#     user_id_results = [stats.user_id for stats in user_stats_results]
-#     print("user_id_results = ", user_stats_results)
-#     assert set([user_id_0, user_id_1]) == set(
-#         user_id_results
-#     ), f"Expected user ids {user_id_0} and {user_id_1}, but got {user_id_results}"
-
-#     user_0_docs = await app.adocuments_overview(user_ids=[user_id_0])
-#     user_1_docs = await app.adocuments_overview(user_ids=[user_id_1])
-
-#     assert (
-#         len(user_0_docs) == 1
-#     ), f"Expected 1 document for user {user_id_0}, but got {len(user_0_docs)}"
-#     assert (
-#         len(user_1_docs) == 1
-#     ), f"Expected 1 document for user {user_id_1}, but got {len(user_1_docs)}"
-#     assert (
-#         user_0_docs[0].id == doc_id_0
-#     ), f"Expected document id {doc_id_0} for user {user_id_0}, but got {user_0_docs[0].id}"
-#     assert (
-#         user_1_docs[0].id == doc_id_1
-#     ), f"Expected document id {doc_id_1} for user {user_id_1}, but got {user_1_docs[0].id}"
-
-#     # Clean up
-#     delete_result = await app.adelete(
-#         filters={"document_id": {"$in": [doc_id_0, doc_id_1]}}
-#     )
-
-#     assert delete_result is None
-
-
-# @pytest.mark.parametrize("app", ["postgres"], indirect=True)
-# @pytest.mark.asyncio
-# async def test_delete_by_id(app, logging_connection):
-#     doc_id = generate_id_from_label("doc_0")
-#     await app.aingest_documents(
-#         [
-#             Document(
-#                 id=doc_id,
-#                 group_ids=[],
-#                 user_id=generate_id_from_label("user_0"),
-#                 data="The quick brown fox jumps over the lazy dog.",
-#                 type="txt",
-#                 metadata={"author": "John Doe"},
-#             ),
-#         ]
-#     )
-#     search_results = await app.asearch("who was aristotle?")
-
-#     assert len(search_results["vector_search_results"]) > 0
-#     delete_result = await app.adelete(filters={"document_id": {"$eq": doc_id}})
-#     assert delete_result is None
-#     search_results = await app.asearch("who was aristotle?")
-#     assert len(search_results["vector_search_results"]) == 0
diff --git a/py/tests/test_groups.py b/py/tests/test_groups.py
deleted file mode 100644
index 9393ba272..000000000
--- a/py/tests/test_groups.py
+++ /dev/null
@@ -1,406 +0,0 @@
-import random
-from datetime import datetime
-from uuid import UUID
-
-import pytest
-
-from core import DatabaseConfig, R2RException
-from core.base.abstractions import DocumentInfo, DocumentType, IngestionStatus
-from core.providers import BCryptConfig, BCryptProvider, PostgresDBProvider
-
-
-# Add this fixture to create test documents
-@pytest.fixture
-def test_documents(pg_db, test_group):
-    documents = []
-    for i in range(5):
-        doc = DocumentInfo(
-            id=UUID(f"00000000-0000-0000-0000-{i:012d}"),
-            group_ids=[test_group.group_id],
-            user_id=UUID("00000000-0000-0000-0000-000000000000"),
-            type=DocumentType.PDF,
-            metadata={},
-            title=f"Test Document {i}",
-            version="1.0",
-            size_in_bytes=1000,
-            ingestion_status=IngestionStatus.PARSING,
-        )
-        pg_db.relational.upsert_documents_overview([doc])
-        documents.append(doc)
-    yield documents
-    # Clean up documents after the test
-    for doc in documents:
-        pg_db.relational.delete_from_documents_overview(doc.id)
-
-
-# Fixture for PostgresDBProvider
-@pytest.fixture(scope="function")
-def pg_db():
-    config = DatabaseConfig.create(
-        provider="postgres",
-        vecs_collection=f"test_collection_{random.randint(1, 1_000_000_000_000_000_000)}",
-    )
-    crypto_provider = BCryptProvider(BCryptConfig())
-    db = PostgresDBProvider(
-        config, dimension=3, crypto_provider=crypto_provider
-    )
-    yield db
-    # Teardown
-    db.vx.delete_collection(db.collection_name)
-
-
-# Improvement: Use a fixture for creating a test group
-@pytest.fixture
-def test_group(pg_db):
-    group = pg_db.relational.create_group(
-        "Test Group", "This is a test group."
-    )
-    yield group
-    pg_db.relational.delete_group(group.group_id)
-
-
-# Improvement: Use a fixture for creating a test user
-@pytest.fixture
-def test_user(pg_db):
-
-    created_user = pg_db.relational.create_user(
-        email=f"test_{datetime.now().timestamp()}@example.com",
-        password="password",
-    )
-    yield created_user
-    pg_db.relational.delete_user(created_user.id)
-
-
-def test_create_group(pg_db):
-    group_name = "Test Group"
-    group_description = "This is a test group."
-    group = pg_db.relational.create_group(
-        name=group_name, description=group_description
-    )
-    assert isinstance(group.group_id, UUID)
-    assert group.name == group_name
-    assert group.description == group_description
-    # Improvement: Check for created_at and updated_at fields
-    assert isinstance(group.created_at, datetime)
-    assert isinstance(group.updated_at, datetime)
-
-
-def test_get_group(pg_db, test_group):
-    fetched_group = pg_db.relational.get_group(test_group.group_id)
-    assert fetched_group == test_group
-
-
-def test_update_group(pg_db, test_group):
-    new_name = "Updated Group"
-    new_description = "This is an updated test group."
-    updated = pg_db.relational.update_group(
-        test_group.group_id, name=new_name, description=new_description
-    )
-    assert updated
-    fetched_group = pg_db.relational.get_group(test_group.group_id)
-    assert fetched_group.name == new_name
-    assert fetched_group.description == new_description
-    # Improvement: Check that updated_at has changed
-    assert fetched_group.updated_at > test_group.updated_at
-
-
-def test_delete_group(pg_db):
-    group = pg_db.relational.create_group(
-        "Temporary Group", "This group will be deleted"
-    )
-    pg_db.relational.delete_group(group.group_id)
-    with pytest.raises(R2RException):
-        fetched_group = pg_db.relational.get_group(group.group_id)
-
-
-def test_list_groups(pg_db, test_group):
-    # First, ensure we have at least two groups
-    second_group = pg_db.relational.create_group(
-        "Second Test Group", "This is another test group."
-    )
-
-    # Now test listing groups
-    groups = pg_db.relational.list_groups()
-    assert len(groups) >= 2
-    assert any(group.group_id == test_group.group_id for group in groups)
-    assert any(group.group_id == second_group.group_id for group in groups)
-
-    # Test pagination
-    first_page = pg_db.relational.list_groups(limit=1)
-    assert len(first_page) == 1
-    second_page = pg_db.relational.list_groups(offset=1, limit=1)
-    assert len(second_page) == 1
-
-    # Ensure first and second pages are different
-    assert first_page[0].group_id != second_page[0].group_id
-
-    # Test requesting more groups than exist
-    all_groups = pg_db.relational.list_groups(limit=1000)
-    assert len(all_groups) >= 2
-
-    # Clean up the second group
-    pg_db.relational.delete_group(second_group.group_id)
-
-
-def test_add_user_to_group(pg_db, test_group, test_user):
-    added = pg_db.relational.add_user_to_group(
-        test_user.id, test_group.group_id
-    )
-    user_groups = pg_db.relational.get_groups_for_user(test_user.id)
-    assert any(g.group_id == test_group.group_id for g in user_groups)
-
-    test_group = pg_db.relational.create_group(
-        "Another Group", "Another test group"
-    )
-    # # Improvement: Test adding the same user twice
-    pg_db.relational.add_user_to_group(test_user.id, test_group.group_id)
-
-
-def test_remove_user_from_group(pg_db, test_group, test_user):
-    # TODO - modify this test to use a fixture for creating a test group
-    test_group_ = pg_db.relational.create_group(
-        "Another Group", "Another test group"
-    )
-
-    pg_db.relational.add_user_to_group(test_user.id, test_group_.group_id)
-    removed = pg_db.relational.remove_user_from_group(
-        test_user.id, test_group_.group_id
-    )
-    user_groups = pg_db.relational.get_groups_for_user(test_user.id)
-    assert all(g.group_id != test_group_.group_id for g in user_groups)
-    # Improvement: Test removing a user that's not in the group
-    with pytest.raises(R2RException):
-        pg_db.relational.remove_user_from_group(
-            test_user.id, test_group_.group_id
-        )
-
-
-def test_get_users_in_group(pg_db, test_group, test_user):
-    pg_db.relational.add_user_to_group(test_user.id, test_group.group_id)
-    users_in_group = pg_db.relational.get_users_in_group(test_group.group_id)
-    assert any(u.id == test_user.id for u in users_in_group)
-    # Improvement: Test pagination
-    first_page = pg_db.relational.get_users_in_group(
-        test_group.group_id, limit=1
-    )
-    assert len(first_page) == 1
-
-
-def test_get_all_groups(pg_db, test_group):
-    # Create multiple groups
-    group1 = pg_db.relational.create_group("Group 1", "Description 1")
-    group2 = pg_db.relational.create_group("Group 2", "Description 2")
-
-    all_groups = pg_db.relational.list_groups()
-
-    assert len(all_groups) >= 3  # Including test_group
-    assert any(g.group_id == test_group.group_id for g in all_groups)
-    assert any(g.group_id == group1.group_id for g in all_groups)
-    assert any(g.group_id == group2.group_id for g in all_groups)
-
-
-def test_get_groups_by_ids(pg_db):
-    group1 = pg_db.relational.create_group("Group 1", "Description 1")
-    group2 = pg_db.relational.create_group("Group 2", "Description 2")
-
-    groups = pg_db.relational.get_groups_by_ids(
-        [group1.group_id, group2.group_id]
-    )
-
-    assert len(groups) == 2
-    assert any(g.group_id == group1.group_id for g in groups)
-    assert any(g.group_id == group2.group_id for g in groups)
-
-
-def test_get_groups_overview(pg_db, test_group, test_user):
-    pg_db.relational.add_user_to_group(test_user.id, test_group.group_id)
-
-    overview = pg_db.relational.get_groups_overview([test_group.group_id])
-
-    assert len(overview) == 1
-    assert overview[0].group_id == test_group.group_id
-    assert overview[0].name == test_group.name
-    assert overview[0].description == test_group.description
-    assert overview[0].user_count == 1
-
-
-# Test for adding the same user twice (idempotency)
-def test_add_user_to_group_idempotency(pg_db, test_group, test_user):
-    # Add user for the first time
-    added1 = pg_db.relational.add_user_to_group(
-        test_user.id, test_group.group_id
-    )
-    assert added1
-
-    # Try to add the same user again
-    added2 = pg_db.relational.add_user_to_group(
-        test_user.id, test_group.group_id
-    )
-    assert not added2  # Should return False as user is already in the group
-
-    # Verify user is in the group only once
-    users_in_group = pg_db.relational.get_users_in_group(test_group.group_id)
-    assert len([u for u in users_in_group if u.id == test_user.id]) == 1
-
-
-# Test for removing a user that's not in the group
-def test_remove_user_not_in_group(pg_db, test_group, test_user):
-    # Ensure user is not in the group
-    pg_db.relational.add_user_to_group(test_user.id, test_group.group_id)
-    pg_db.relational.remove_user_from_group(test_user.id, test_group.group_id)
-
-    # Try to remove the user again
-    with pytest.raises(R2RException):
-        pg_db.relational.remove_user_from_group(
-            test_user.id, test_group.group_id
-        )
-
-
-# Improvement: Add test for non-existent group and user
-def test_edge_cases(pg_db):
-    non_existent_id = UUID("00000000-0000-0000-0000-000000000000")
-    # assert pg_db.relational.get_group(non_existent_id) is None
-    # ensure error
-    with pytest.raises(R2RException):
-        pg_db.relational.get_group(non_existent_id)
-    with pytest.raises(R2RException):
-        pg_db.relational.update_group(
-            non_existent_id, name="New Name", description="New Description"
-        )
-    with pytest.raises(R2RException):
-        pg_db.relational.delete_group(non_existent_id)
-    with pytest.raises(R2RException):
-        pg_db.relational.add_user_to_group(non_existent_id, non_existent_id)
-    with pytest.raises(R2RException):
-        assert not pg_db.relational.remove_user_from_group(
-            non_existent_id, non_existent_id
-        )
-    with pytest.raises(R2RException):
-        assert pg_db.relational.get_users_in_group(non_existent_id) == []
-
-
-def test_get_users_in_group_with_pagination(pg_db, test_group):
-    # Create multiple users and add them to the group
-    users = []
-    for i in range(5):
-        user = pg_db.relational.create_user(
-            email=f"test_user_{i}@example.com", password="password"
-        )
-        pg_db.relational.add_user_to_group(user.id, test_group.group_id)
-        users.append(user)
-
-    # Test first page
-    first_page = pg_db.relational.get_users_in_group(
-        test_group.group_id, offset=0, limit=3
-    )
-    assert len(first_page) == 3
-
-    # Test second page
-    second_page = pg_db.relational.get_users_in_group(
-        test_group.group_id, offset=3, limit=3
-    )
-    assert len(second_page) == 2
-
-    # Ensure all users are different
-    all_users = first_page + second_page
-    assert len({u.id for u in all_users}) == 5
-
-    # Clean up
-    for user in users:
-        pg_db.relational.delete_user(user.id)
-
-
-def test_get_groups_overview_with_pagination(pg_db):
-    # Create multiple groups
-    groups = [
-        pg_db.relational.create_group(f"Group {i}", f"Description {i}")
-        for i in range(5)
-    ]
-
-    # Test first page
-    first_page = pg_db.relational.get_groups_overview(offset=0, limit=3)
-    assert len(first_page) == 3
-
-    # Test second page
-    second_page = pg_db.relational.get_groups_overview(offset=3, limit=3)
-    assert len(second_page) == 2
-
-    # Ensure all groups are different
-    all_groups = first_page + second_page
-    assert len({g.group_id for g in all_groups}) == 5
-
-    # Clean up
-    for group in groups:
-        pg_db.relational.delete_group(group.group_id)
-
-
-def test_get_groups_for_user_with_pagination(pg_db, test_user):
-    # Create multiple groups and add the user to them
-    groups = []
-    for i in range(5):
-        group = pg_db.relational.create_group(f"Group {i}", f"Description {i}")
-        pg_db.relational.add_user_to_group(test_user.id, group.group_id)
-        groups.append(group)
-
-    # Test first page
-    first_page = pg_db.relational.get_groups_for_user(
-        test_user.id, offset=0, limit=3
-    )
-    assert len(first_page) == 3
-
-    # Test second page
-    second_page = pg_db.relational.get_groups_for_user(
-        test_user.id, offset=3, limit=3
-    )
-    assert len(second_page) == 2
-
-    # Ensure all groups are different
-    all_groups = first_page + second_page
-    assert len({g.group_id for g in all_groups}) == 5
-
-    # Clean up
-    for group in groups:
-        pg_db.relational.delete_group(group.group_id)
-
-
-def test_documents_in_group(pg_db, test_group, test_documents):
-    # Test getting all documents
-    all_docs = pg_db.relational.documents_in_group(test_group.group_id)
-    assert len(all_docs) == 5
-    assert all(isinstance(doc, DocumentInfo) for doc in all_docs)
-    assert all(test_group.group_id in doc.group_ids for doc in all_docs)
-
-    # Test pagination - first page
-    first_page = pg_db.relational.documents_in_group(
-        test_group.group_id, offset=0, limit=3
-    )
-    assert len(first_page) == 3
-
-    # Test pagination - second page
-    second_page = pg_db.relational.documents_in_group(
-        test_group.group_id, offset=3, limit=3
-    )
-    assert len(second_page) == 2
-
-    # Ensure all documents are different
-    all_docs = first_page + second_page
-    assert len({doc.id for doc in all_docs}) == 5
-
-    # Test ordering (should be in descending order of created_at)
-    assert all(
-        all_docs[i].created_at >= all_docs[i + 1].created_at
-        for i in range(len(all_docs) - 1)
-    )
-
-    # Test with non-existent group
-    non_existent_id = UUID("00000000-0000-0000-0000-000000000000")
-    with pytest.raises(R2RException):
-        pg_db.relational.documents_in_group(non_existent_id)
-
-    # Test with empty group
-    empty_group = pg_db.relational.create_group("Empty Group", "No documents")
-    empty_docs = pg_db.relational.documents_in_group(empty_group.group_id)
-    assert len(empty_docs) == 0
-
-    # Clean up
-    pg_db.relational.delete_group(empty_group.group_id)
diff --git a/py/tests/test_groups_client.py b/py/tests/test_groups_client.py
deleted file mode 100644
index 1c0c15717..000000000
--- a/py/tests/test_groups_client.py
+++ /dev/null
@@ -1,380 +0,0 @@
-# import uuid
-# from datetime import datetime
-# from unittest.mock import MagicMock
-
-# import pytest
-# from fastapi import Depends
-# from fastapi.security import OAuth2PasswordBearer
-# from fastapi.testclient import TestClient
-
-# from core import R2RApp, R2RBuilder, Token, UserResponse
-# from core.base import GroupResponse
-# from r2r import R2RClient
-
-# oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")
-
-
-# def create_superuser(email: str, password: str):
-#     return UserResponse(
-#         id=uuid.UUID("12345678-1234-5678-1234-567812345678"),
-#         email=email,
-#         hashed_password="hashed_" + password,
-#         is_active=True,
-#         is_superuser=True,
-#         is_verified=True,
-#         name="Test Superuser",
-#         bio="Test Superuser Bio",
-#         profile_picture="http://example.com/superuser_pic.jpg",
-#         created_at=datetime.utcnow(),
-#         updated_at=datetime.utcnow(),
-#     )
-
-
-# @pytest.fixture(scope="function")
-# def mock_auth_wrapper():
-#     def auth_wrapper(token: str = Depends(oauth2_scheme)):
-#         return UserResponse(
-#             id=uuid.UUID("12345678-1234-5678-1234-567812345678"),
-#             email="admin@example.com",
-#             is_active=True,
-#             hashed_password="xxx",
-#             is_superuser=True,
-#         )
-
-#     return auth_wrapper
-
-
-# @pytest.fixture(scope="function")
-# def mock_db():
-#     db = MagicMock()
-#     db.relational.get_user_by_email.return_value = (
-#         None  # Simulate empty database
-#     )
-#     db.relational.create_user.side_effect = create_superuser
-#     db.relational.get_user_by_id.return_value = create_superuser(
-#         email="admin@example.com", password="adminpassword"
-#     )
-
-#     def mock_update_user(user):
-#         return UserResponse(
-#             id=uuid.UUID("12345678-1234-5678-1234-567812345678"),
-#             email=user.email,
-#             hashed_password="hashed_password",
-#             is_active=True,
-#             is_superuser=True,
-#             is_verified=True,
-#             name=user.name,
-#             bio=user.bio,
-#             profile_picture=user.profile_picture,
-#             created_at=datetime.utcnow(),
-#             updated_at=datetime.utcnow(),
-#         )
-
-#     db.relational.update_user.side_effect = mock_update_user
-
-#     def mock_create_group(**kwargs):
-#         return GroupResponse(
-#             group_id=uuid.uuid4(),
-#             name=kwargs.get("name", "Test Group"),
-#             description=kwargs.get("description", "A test group"),
-#             created_at=datetime.utcnow(),
-#             updated_at=datetime.utcnow(),
-#         ).dict()
-
-#     db.relational.create_group = MagicMock(side_effect=mock_create_group)
-
-#     def mock_get_group(group_id):
-#         return GroupResponse(
-#             group_id=group_id,
-#             name="Test Group",
-#             description="A test group",
-#             created_at=datetime.utcnow(),
-#             updated_at=datetime.utcnow(),
-#         ).dict()
-
-#     db.relational.get_group = MagicMock(side_effect=mock_get_group)
-
-#     def mock_update_group(group_id, name, description):
-#         return GroupResponse(
-#             group_id=group_id,
-#             name=name,
-#             description=description,
-#             created_at=datetime.utcnow(),
-#             updated_at=datetime.utcnow(),
-#         ).dict()
-
-#     db.relational.update_group = MagicMock(side_effect=mock_update_group)
-
-#     db.relational.delete_group = MagicMock(return_value=True)
-
-#     def mock_list_groups(offset=0, limit=100):
-#         return [
-#             GroupResponse(
-#                 group_id=uuid.uuid4(),
-#                 name=f"Group {i}",
-#                 description=f"Description {i}",
-#                 created_at=datetime.utcnow(),
-#                 updated_at=datetime.utcnow(),
-#             ).dict()
-#             for i in range(1, 3)
-#         ]
-
-#     db.relational.list_groups = MagicMock(side_effect=mock_list_groups)
-
-#     db.relational.add_user_to_group = MagicMock(return_value=True)
-#     db.relational.remove_user_from_group = MagicMock(return_value=True)
-#     db.relational.get_users_in_group = MagicMock(
-#         return_value=[
-#             UserResponse(
-#                 id=uuid.UUID("12345678-1234-5678-1234-567812345678"),
-#                 email="test1@gmail.com",
-#                 hashed_password="hashed_password",
-#                 is_active=True,
-#                 is_superuser=True,
-#                 is_verified=True,
-#                 created_at=datetime.utcnow(),
-#                 updated_at=datetime.utcnow(),
-#             ),
-#             UserResponse(
-#                 id=uuid.UUID("12345678-1234-5678-1234-567812345678"),
-#                 email="test2@gmail.com",
-#                 hashed_password="hashed_password",
-#                 is_active=True,
-#                 is_superuser=True,
-#                 is_verified=True,
-#                 created_at=datetime.utcnow(),
-#                 updated_at=datetime.utcnow(),
-#             ),
-#         ]
-#     )
-#     db.relational.get_groups_for_user = MagicMock(side_effect=mock_list_groups)
-
-#     def mock_groups_overview(group_ids, offset=0, limit=100):
-#         return [
-#             {
-#                 "group_id": str(uuid.uuid4()),
-#                 "name": f"Group {i}",
-#                 "description": f"Description {i}",
-#                 "created_at": datetime.utcnow(),
-#                 "updated_at": datetime.utcnow(),
-#                 "user_count": i * 2,
-#                 "document_count": i * 2,
-#             }
-#             for i in range(1, 3)
-#         ]
-
-#     db.relational.get_groups_overview = MagicMock(
-#         side_effect=mock_groups_overview
-#     )
-
-#     return db
-
-
-# @pytest.fixture(scope="function")
-# def r2r_client(app_client):
-#     return R2RClient(base_url="http://testserver", custom_client=app_client)
-
-
-# def authenticate_superuser(r2r_client, mock_db):
-#     user_data = {"email": "admin@example.com", "password": "adminpassword"}
-#     mock_db.relational.get_user_by_email.return_value = None
-#     r2r_client.register(**user_data)
-
-#     # Create a superuser
-#     superuser = UserResponse(
-#         id=uuid.UUID("12345678-1234-5678-1234-567812345678"),
-#         email=user_data["email"],
-#         hashed_password="hashed_" + user_data["password"],
-#         is_active=True,
-#         is_superuser=True,
-#         verification_code_expiry=None,
-#     )
-
-#     mock_db.relational.get_user_by_email.return_value = superuser
-#     mock_db.relational.get_user_by_id.return_value = superuser
-
-#     # Login as superuser
-#     response = r2r_client.login(**user_data)
-#     assert "access_token" in response["results"]
-
-
-# @pytest.fixture(scope="function")
-# def app_client(mock_db, mock_auth_wrapper):
-#     config = R2RBuilder._get_config("auth")
-#     providers = MagicMock()
-#     providers.auth.login.return_value = {
-#         "access_token": Token(token="access_token", token_type="access"),
-#         "refresh_token": Token(token="refresh_token", token_type="refresh"),
-#     }
-#     providers.auth.auth_wrapper = mock_auth_wrapper
-#     providers.auth.register.side_effect = mock_db.relational.create_user
-#     providers.auth.verify_email.return_value = {
-#         "message": "Email verified successfully"
-#     }
-#     providers.auth.change_password.return_value = {
-#         "message": "Password changed successfully"
-#     }
-#     providers.auth.request_password_reset.return_value = {
-#         "message": "If the email exists, a reset link has been sent"
-#     }
-#     providers.auth.confirm_password_reset.return_value = {
-#         "message": "Password reset successfully"
-#     }
-#     providers.auth.logout.return_value = {"message": "Logged out successfully"}
-
-#     providers.database = mock_db
-#     pipelines = MagicMock()
-#     agents = MagicMock()
-#     engine = R2REngine(
-#         config=config,
-#         providers=providers,
-#         pipelines=pipelines,
-#         agents=agents,
-#     )
-
-#     async def mock_asearch(*args, **kwargs):
-#         return {
-#             "vector_search_results": [
-#                 {
-#                     "id": "doc1",
-#                     "metadata": {"text": "Sample search result"},
-#                     "score": 0.95,
-#                 }
-#             ]
-#         }
-
-#     engine.asearch = mock_asearch
-#     app = R2RApp(engine)
-#     return TestClient(app.app)
-
-
-# @pytest.fixture
-# def group_id():
-#     return uuid.uuid4()
-
-
-# @pytest.fixture
-# def user_id():
-#     return uuid.uuid4()
-
-
-# @pytest.mark.asyncio
-# async def test_user_profile(r2r_client, mock_db):
-#     r2r_client.register(email="profile@example.com", password="password123")
-#     r2r_client.login(email="profile@example.com", password="password123")
-
-#     updated_profile = r2r_client.update_user(name="John Doe", bio="Test bio")
-#     assert updated_profile["results"]["name"] == "John Doe"
-#     assert updated_profile["results"]["bio"] == "Test bio"
-
-
-# # TODO - Revive these tests later.
-# # def test_create_group(r2r_client, mock_db):
-# #     authenticate_superuser(r2r_client, mock_db)
-# #     group_data = {"name": "Test Group", "description": "A test group"}
-# #     response = r2r_client.create_group(**group_data)
-# #     assert "results" in response
-# #     print('response = ', response)
-# #     assert response["results"]["name"] == group_data["name"]
-# #     assert response["results"]["description"] == group_data["description"]
-# #     mock_db.relational.create_group.assert_called_once_with(**group_data)
-
-
-# @pytest.mark.asyncio
-# async def test_get_group(r2r_client, mock_db, group_id):
-#     authenticate_superuser(r2r_client, mock_db)
-#     response = r2r_client.get_group(group_id)
-#     assert "results" in response
-#     assert response["results"]["group_id"] == str(group_id)
-#     assert response["results"]["name"] == "Test Group"
-#     mock_db.relational.get_group.assert_called_once_with(group_id)
-
-
-# @pytest.mark.asyncio
-# async def test_update_group(r2r_client, mock_db, group_id):
-#     authenticate_superuser(r2r_client, mock_db)
-#     update_data = {
-#         "name": "Test Group",
-#         "description": "An updated test group",
-#     }
-#     # mock_db.relational.update_group.return_value = True
-#     response = r2r_client.update_group(group_id, **update_data)
-#     assert "results" in response
-#     assert (
-#         response["results"]["description"] == "An updated test group"
-#     )  # is True
-#     mock_db.relational.update_group.assert_called_once_with(
-#         *(group_id, "Test Group", "An updated test group")
-#     )
-
-
-# @pytest.mark.asyncio
-# async def test_list_groups(r2r_client, mock_db):
-#     authenticate_superuser(r2r_client, mock_db)
-#     # mock_db.relational.list_groups.return_value = mock_groups
-#     response = r2r_client.list_groups(0, 100)
-#     assert "results" in response
-#     assert len(response["results"]) == 2
-
-#     mock_db.relational.list_groups.assert_called_once_with(offset=0, limit=100)
-
-
-# @pytest.mark.asyncio
-# async def test_get_users_in_group(r2r_client, mock_db, group_id):
-#     authenticate_superuser(r2r_client, mock_db)
-#     response = r2r_client.get_users_in_group(group_id)
-#     assert "results" in response
-#     assert len(response["results"]) == 2
-#     mock_db.relational.get_users_in_group.assert_called_once_with(
-#         group_id, offset=0, limit=100
-#     )
-
-
-# # @pytest.mark.asyncio
-# # async def test_get_groups_for_user(r2r_client, mock_db, user_id):
-# #     authenticate_superuser(r2r_client, mock_db)
-# #     # mock_groups = [
-# #     #     {"id": str(uuid.uuid4()), "name": "Group 1"},
-# #     #     {"id": str(uuid.uuid4()), "name": "Group 2"},
-# #     # ]
-# #     # mock_db.relational.get_groups_for_user.return_value = mock_groups
-# #     response = r2r_client.user_groups(user_id)
-# #     assert "results" in response
-# #     assert len(response["results"]) == 2
-# #     # assert response["results"] == mock_groups
-# #     mock_db.relational.get_groups_for_user.assert_called_once_with(user_id, offset=0, limit=100)
-
-
-# @pytest.mark.asyncio
-# async def test_groups_overview(r2r_client, mock_db):
-#     authenticate_superuser(r2r_client, mock_db)
-#     # mock_overview = [
-#     #     {"id": str(uuid.uuid4()), "name": "Group 1", "member_count": 5},
-#     #     {"id": str(uuid.uuid4()), "name": "Group 2", "member_count": 3},
-#     # ]
-#     # mock_db.relational.get_groups_overview.return_value = mock_overview
-#     response = r2r_client.groups_overview()
-#     assert "results" in response
-#     assert len(response["results"]) == 2
-#     # assert response["results"] == mock_overview
-#     mock_db.relational.get_groups_overview.assert_called_once_with(
-#         None, offset=0, limit=100
-#     )
-
-
-# @pytest.mark.asyncio
-# async def test_groups_overview_with_ids(r2r_client, mock_db):
-#     authenticate_superuser(r2r_client, mock_db)
-#     group_ids = [uuid.uuid4(), uuid.uuid4()]
-#     # mock_overview = [
-#     #     {"id": str(group_ids[0]), "name": "Group 1", "member_count": 5},
-#     #     {"id": str(group_ids[1]), "name": "Group 2", "member_count": 3},
-#     # ]
-#     # mock_db.relational.get_groups_overview.return_value = mock_overview
-#     response = r2r_client.groups_overview(group_ids, 10, 100)
-#     assert "results" in response
-#     assert len(response["results"]) == 2
-#     # assert response["results"] == mock_overview
-#     mock_db.relational.get_groups_overview.assert_called_once_with(
-#         [str(gid) for gid in group_ids], offset=10, limit=100
-#     )
diff --git a/py/tests/test_ingestion_service.py b/py/tests/test_ingestion_service.py
deleted file mode 100644
index 1dc205ee3..000000000
--- a/py/tests/test_ingestion_service.py
+++ /dev/null
@@ -1,435 +0,0 @@
-# import asyncio
-# import io
-# import logging
-# import uuid
-# from datetime import datetime
-# from unittest.mock import AsyncMock, MagicMock, Mock
-
-# import pytest
-# from fastapi import UploadFile
-
-# from core import R2RAgents
-# from core.base import (
-#     Document,
-#     DocumentInfo,
-#     R2RDocumentProcessingError,
-#     R2RException,
-#     RunManager,
-#     UserResponse,
-#     generate_id_from_label,
-# )
-# from core.main import R2RPipelines, R2RProviders
-# from core.main.services.ingestion_service import IngestionService
-
-# logger = logging.getLogger(__name__)
-
-
-# @pytest.fixture(scope="session", autouse=True)
-# def event_loop_policy():
-#     asyncio.set_event_loop_policy(asyncio.DefaultEventLoopPolicy())
-
-
-# @pytest.fixture(scope="function", autouse=True)
-# async def cleanup_tasks():
-#     yield
-#     tasks = [t for t in asyncio.all_tasks() if t is not asyncio.current_task()]
-#     [task.cancel() for task in tasks]
-#     await asyncio.gather(*tasks, return_exceptions=True)
-
-
-# @pytest.fixture
-# def mock_vector_db():
-#     mock_db = MagicMock()
-#     mock_db.relational = MagicMock()
-#     mock_db.relational.get_documents_overview.return_value = (
-#         []
-#     )  # Default to empty list
-#     return mock_db
-
-
-# @pytest.fixture
-# def mock_embedding_model():
-#     return Mock()
-
-
-# @pytest.fixture
-# def mock_pipes():
-#     pipes = Mock()
-#     pipes.parsing_pipe = AsyncMock()
-#     pipes.chunking_pipe = AsyncMock()
-#     pipes.embedding_pipe = AsyncMock()
-#     pipes.vector_storage_pipe = AsyncMock()
-#     return pipes
-
-
-# @pytest.fixture
-# def ingestion_service(mock_vector_db, mock_embedding_model, mock_pipes):
-#     config = MagicMock()
-#     config.app.get.return_value = 32  # Default max file size
-#     providers = Mock(spec=R2RProviders)
-#     providers.database = mock_vector_db
-#     providers.embedding_model = mock_embedding_model
-#     pipelines = Mock(spec=R2RPipelines)
-#     pipelines.ingestion_pipeline = AsyncMock()
-#     pipelines.ingestion_pipeline.run.return_value = {
-#         "embedding_pipeline_output": []
-#     }
-#     run_manager = RunManager(logger)
-#     logging_connection = Mock()
-#     agents = Mock(spec=R2RAgents)
-
-#     return IngestionService(
-#         config,
-#         providers,
-#         mock_pipes,
-#         pipelines,
-#         agents,
-#         run_manager,
-#         logging_connection=logging_connection,
-#     )
-
-
-# @pytest.mark.asyncio
-# async def test_ingest_single_document(
-#     ingestion_service, mock_vector_db, mock_pipes
-# ):
-#     document = Document(
-#         id=generate_id_from_label("test_id"),
-#         group_ids=[],
-#         user_id=generate_id_from_label("user_1"),
-#         type="txt",
-#         data="Test content",
-#         metadata={},
-#     )
-
-#     mock_pipes.parsing_pipe.run.return_value = [{"content": "Test content"}]
-#     mock_pipes.chunking_pipe.run.return_value = [{"chunk": "Test content"}]
-#     mock_pipes.embedding_pipe.run.return_value = [
-#         {"embedding": [0.1, 0.2, 0.3]}
-#     ]
-#     mock_pipes.vector_storage_pipe.run.return_value = ["stored_id"]
-
-#     ingestion_service.pipelines.ingestion_pipeline.run.return_value = {
-#         "embedding_pipeline_output": [(document.id, None)]
-#     }
-#     mock_vector_db.relational.get_documents_overview.return_value = (
-#         []
-#     )  # No existing documents
-
-#     result = await ingestion_service.ingest_documents([document])
-
-#     assert result["processed_documents"][0].id == generate_id_from_label(
-#         "test_id"
-#     )
-#     assert not result["failed_documents"]
-#     assert not result["skipped_documents"]
-
-#     mock_pipes.parsing_pipe.run.assert_called_once()
-#     mock_pipes.chunking_pipe.run.assert_called_once()
-#     mock_pipes.embedding_pipe.run.assert_called_once()
-#     mock_pipes.vector_storage_pipe.run.assert_called_once()
-
-
-# @pytest.mark.asyncio
-# async def test_ingest_duplicate_document(ingestion_service, mock_vector_db):
-#     document = Document(
-#         id=generate_id_from_label("test_id"),
-#         group_ids=[],
-#         user_id=generate_id_from_label("user_1"),
-#         type="txt",
-#         metadata={},
-#     )
-#     mock_vector_db.relational.get_documents_overview.return_value = [
-#         DocumentInfo(
-#             id=document.id,
-#             group_ids=[],
-#             user_id=generate_id_from_label("user_1"),
-#             version="v0",
-#             size_in_bytes=1024,
-#             metadata={},
-#             title=str(document.id),
-#             type="txt",
-#             created_at=datetime.now(),
-#             updated_at=datetime.now(),
-#             ingestion_status="success",
-#         )
-#     ]
-
-#     with pytest.raises(R2RException) as exc_info:
-#         await ingestion_service.ingest_documents([document])
-
-#     assert (
-#         f"Document with ID {document.id} was already successfully processed"
-#         in str(exc_info.value)
-#     )
-
-
-# @pytest.mark.asyncio
-# async def test_ingest_file(ingestion_service):
-#     file_content = b"Test content"
-#     file_mock = UploadFile(filename="test.txt", file=io.BytesIO(file_content))
-#     file_mock.file.seek(0)
-#     file_mock.size = len(file_content)  # Set file size manually
-
-#     user = UserResponse(
-#         id=generate_id_from_label("user1"),
-#         email="email@test.com",
-#         hashed_password="password",
-#     )
-#     ingestion_service.pipelines.ingestion_pipeline.run.return_value = {
-#         "embedding_pipeline_output": [
-#             (generate_id_from_label(f"test.txt-{user.id}"), None)
-#         ]
-#     }
-
-#     result = await ingestion_service.ingest_files([file_mock], user=user)
-
-#     assert len(result["processed_documents"]) == 1
-#     assert not result["failed_documents"]
-#     assert not result["skipped_documents"]
-
-
-# @pytest.mark.asyncio
-# async def test_ingest_mixed_success_and_failure(
-#     ingestion_service, mock_vector_db
-# ):
-#     documents = [
-#         Document(
-#             id=generate_id_from_label("success_id"),
-#             data="Success content",
-#             group_ids=[],
-#             user_id=generate_id_from_label("user_1"),
-#             type="txt",
-#             metadata={},
-#         ),
-#         Document(
-#             id=generate_id_from_label("failure_id"),
-#             data="Failure content",
-#             type="txt",
-#             group_ids=[],
-#             user_id=generate_id_from_label("user_1"),
-#             metadata={},
-#         ),
-#     ]
-
-#     ingestion_service.pipelines.ingestion_pipeline.run.return_value = {
-#         "embedding_pipeline_output": [
-#             (
-#                 documents[0].id,
-#                 f"Processed 1 vectors for document {documents[0].id}.",
-#             ),
-#             (
-#                 documents[1].id,
-#                 R2RDocumentProcessingError(
-#                     error_message="Embedding failed",
-#                     document_id=documents[1].id,
-#                 ),
-#             ),
-#         ]
-#     }
-
-#     result = await ingestion_service.ingest_documents(documents)
-
-#     assert len(result["processed_documents"]) == 1
-#     assert len(result["failed_documents"]) == 1
-#     assert documents[0].id in [doc.id for doc in result["processed_documents"]]
-#     assert documents[1].id in [
-#         doc["document_id"] for doc in result["failed_documents"]
-#     ]
-#     assert "Embedding failed" in str(result["failed_documents"][0]["result"])
-
-#     assert mock_vector_db.relational.upsert_documents_overview.call_count == 2
-#     upserted_docs = (
-#         mock_vector_db.relational.upsert_documents_overview.call_args[0][0]
-#     )
-#     assert len(upserted_docs) == 2
-#     assert upserted_docs[0].id == documents[0].id
-#     assert upserted_docs[0].ingestion_status == "success"
-#     assert upserted_docs[1].id == documents[1].id
-#     assert upserted_docs[1].ingestion_status == "failure"
-
-
-# @pytest.mark.asyncio
-# async def test_ingest_unsupported_file_type(ingestion_service):
-#     file_mock = UploadFile(
-#         filename="test.unsupported", file=io.BytesIO(b"Test content")
-#     )
-#     file_mock.file.seek(0)
-#     file_mock.size = 12  # Set file size manually
-
-#     user = UserResponse(
-#         id=generate_id_from_label("user1"),
-#         email="email@test.com",
-#         hashed_password="password",
-#     )
-
-#     with pytest.raises(R2RException) as exc_info:
-#         await ingestion_service.ingest_files([file_mock], user=user)
-
-#     assert "is not a valid DocumentType" in str(exc_info.value)
-
-
-# @pytest.mark.asyncio
-# async def test_partial_ingestion_success(ingestion_service, mock_vector_db):
-#     documents = [
-#         Document(
-#             id=generate_id_from_label("success_1"),
-#             data="Success content 1",
-#             group_ids=[],
-#             user_id=generate_id_from_label("user_1"),
-#             type="txt",
-#             metadata={},
-#         ),
-#         Document(
-#             id=generate_id_from_label("fail"),
-#             data="Fail content",
-#             group_ids=[],
-#             user_id=generate_id_from_label("user_1"),
-#             type="txt",
-#             metadata={},
-#         ),
-#         Document(
-#             id=generate_id_from_label("success_2"),
-#             data="Success content 2",
-#             group_ids=[],
-#             user_id=generate_id_from_label("user_1"),
-#             type="txt",
-#             metadata={},
-#         ),
-#     ]
-
-#     ingestion_service.pipelines.ingestion_pipeline.run.return_value = {
-#         "embedding_pipeline_output": [
-#             (documents[0].id, None),
-#             (
-#                 documents[1].id,
-#                 R2RDocumentProcessingError(
-#                     error_message="Embedding failed",
-#                     document_id=documents[1].id,
-#                 ),
-#             ),
-#             (documents[2].id, None),
-#         ]
-#     }
-
-#     result = await ingestion_service.ingest_documents(documents)
-
-#     assert len(result["processed_documents"]) == 2
-#     assert len(result["failed_documents"]) == 1
-#     assert documents[1].id in [
-#         doc["document_id"] for doc in result["failed_documents"]
-#     ]
-
-
-# @pytest.mark.asyncio
-# async def test_version_increment(ingestion_service, mock_vector_db):
-
-#     user = UserResponse(
-#         id=generate_id_from_label("user1"),
-#         email="email@test.com",
-#         hashed_password="password",
-#     )
-
-#     document = Document(
-#         id=generate_id_from_label("test_id"),
-#         data="Test content",
-#         group_ids=[],
-#         user_id=generate_id_from_label("user_1"),
-#         type="txt",
-#         metadata={},
-#     )
-#     mock_vector_db.relational.get_documents_overview.return_value = [
-#         DocumentInfo(
-#             id=document.id,
-#             group_ids=[],
-#             user_id=generate_id_from_label("user_1"),
-#             type="txt",
-#             version="v2",
-#             ingestion_status="success",
-#             size_in_bytes=0,
-#             metadata={},
-#         )
-#     ]
-
-#     file_mock = UploadFile(
-#         filename="test.txt", file=io.BytesIO(b"Updated content")
-#     )
-#     await ingestion_service.update_files(
-#         files=[file_mock], document_ids=[document.id], user=user
-#     )
-
-#     calls = mock_vector_db.relational.upsert_documents_overview.call_args_list
-#     assert len(calls) == 2
-#     assert calls[1][0][0][0].version == "v3"
-
-
-# @pytest.mark.asyncio
-# async def test_process_ingestion_results_error_handling(ingestion_service):
-#     document_infos = [
-#         DocumentInfo(
-#             id=uuid.uuid4(),
-#             group_ids=[],
-#             user_id=generate_id_from_label("user_1"),
-#             type="txt",
-#             version="v0",
-#             ingestion_status="processing",
-#             size_in_bytes=0,
-#             metadata={},
-#         )
-#     ]
-#     ingestion_results = {
-#         "embedding_pipeline_output": [
-#             (
-#                 document_infos[0].id,
-#                 R2RDocumentProcessingError(
-#                     "Unexpected error",
-#                     document_id=document_infos[0].id,
-#                 ),
-#             )
-#         ]
-#     }
-
-#     result = await ingestion_service._process_ingestion_results(
-#         ingestion_results,
-#         document_infos,
-#         [],
-#     )
-
-#     assert len(result["failed_documents"]) == 1
-#     assert "Unexpected error" in str(result["failed_documents"][0])
-
-
-# @pytest.mark.asyncio
-# async def test_document_status_update_after_ingestion(
-#     ingestion_service, mock_vector_db
-# ):
-#     document = Document(
-#         id=generate_id_from_label("test_id"),
-#         data="Test content",
-#         group_ids=[],
-#         user_id=generate_id_from_label("user_1"),
-#         type="txt",
-#         metadata={},
-#     )
-
-#     ingestion_service.pipelines.ingestion_pipeline.run.return_value = {
-#         "embedding_pipeline_output": [(document.id, None)]
-#     }
-#     mock_vector_db.relational.get_documents_overview.return_value = (
-#         []
-#     )  # No existing documents
-
-#     await ingestion_service.ingest_documents([document])
-
-#     # Check that upsert_documents_overview was called twice
-#     assert mock_vector_db.relational.upsert_documents_overview.call_count == 2
-
-#     # Check the second call to upsert_documents_overview (status update)
-#     second_call_args = (
-#         mock_vector_db.relational.upsert_documents_overview.call_args_list[1][
-#             0
-#         ][0]
-#     )
-#     assert len(second_call_args) == 1
-#     assert second_call_args[0].id == document.id
-#     assert second_call_args[0].ingestion_status == "success"
diff --git a/py/tests/test_llms.py b/py/tests/test_llms.py
deleted file mode 100644
index 6b9fb8029..000000000
--- a/py/tests/test_llms.py
+++ /dev/null
@@ -1,181 +0,0 @@
-import asyncio
-import time
-from unittest.mock import AsyncMock, MagicMock, patch
-
-import pytest
-
-from core import CompletionConfig, GenerationConfig
-from core.base.abstractions.llm import (
-    LLMChatCompletion,
-    LLMChatCompletionChunk,
-)
-from core.providers import LiteCompletionProvider, OpenAICompletionProvider
-
-
-class MockCompletionResponse:
-    def __init__(self, content):
-        self.id = "mock_id"
-        self.created = int(time.time())
-        self.model = "gpt-4o-mini"
-        self.object = "chat.completion"
-        self.choices = [
-            {
-                "index": 0,
-                "message": {"role": "assistant", "content": content},
-                "finish_reason": "stop",
-            }
-        ]
-
-    def dict(self):
-        return {
-            "id": self.id,
-            "created": self.created,
-            "model": self.model,
-            "object": self.object,
-            "choices": self.choices,
-        }
-
-
-class MockStreamResponse:
-    def __init__(self, content):
-        self.id = "mock_id"
-        self.created = int(time.time())
-        self.model = "gpt-4o-mini"
-        self.object = "chat.completion.chunk"
-        self.choices = [
-            {"index": 0, "delta": {"content": content}, "finish_reason": None}
-        ]
-
-    def dict(self):
-        return {
-            "id": self.id,
-            "created": self.created,
-            "model": self.model,
-            "object": self.object,
-            "choices": self.choices,
-        }
-
-
-@pytest.fixture
-def lite_llm():
-    config = CompletionConfig(provider="litellm")
-    return LiteCompletionProvider(config)
-
-
-@pytest.fixture
-def openai_llm():
-    config = CompletionConfig(provider="openai")
-    return OpenAICompletionProvider(config)
-
-
-@pytest.fixture
-def messages():
-    return [
-        {
-            "role": "user",
-            "content": "This is a test, return only the word `True`",
-        }
-    ]
-
-
-@pytest.fixture
-def generation_config():
-    return GenerationConfig(
-        model="gpt-4o-mini",
-        temperature=0.0,
-        top_p=0.9,
-        max_tokens_to_sample=50,
-        stream=False,
-    )
-
-
-@pytest.mark.parametrize("llm_fixture", ["lite_llm", "openai_llm"])
-def test_get_completion(request, llm_fixture, messages, generation_config):
-    llm = request.getfixturevalue(llm_fixture)
-
-    with patch.object(
-        llm, "_execute_task_sync", return_value=MockCompletionResponse("True")
-    ):
-        completion = llm.get_completion(messages, generation_config)
-        assert isinstance(completion, LLMChatCompletion)
-        assert completion.choices[0].message.role == "assistant"
-        assert completion.choices[0].message.content.strip() == "True"
-        assert completion.id == "mock_id"
-        assert completion.model == "gpt-4o-mini"
-        assert completion.object == "chat.completion"
-
-
-@pytest.mark.parametrize("llm_fixture", ["lite_llm", "openai_llm"])
-def test_get_completion_stream(
-    request, llm_fixture, messages, generation_config
-):
-    llm = request.getfixturevalue(llm_fixture)
-    generation_config.stream = True
-
-    mock_responses = [
-        MockStreamResponse("T"),
-        MockStreamResponse("ru"),
-        MockStreamResponse("e"),
-    ]
-    with patch.object(llm, "_execute_task_sync", return_value=mock_responses):
-        stream = llm.get_completion_stream(messages, generation_config)
-        chunks = list(stream)
-        assert all(
-            isinstance(chunk, LLMChatCompletionChunk) for chunk in chunks
-        )
-        assert len(chunks) == 3
-        assert (
-            "".join(chunk.choices[0].delta.content for chunk in chunks)
-            == "True"
-        )
-        assert all(chunk.object == "chat.completion.chunk" for chunk in chunks)
-
-
-@pytest.mark.asyncio
-@pytest.mark.parametrize("llm_fixture", ["lite_llm", "openai_llm"])
-async def test_aget_completion(
-    request, llm_fixture, messages, generation_config
-):
-    llm = request.getfixturevalue(llm_fixture)
-
-    with patch.object(
-        llm,
-        "_execute_task",
-        AsyncMock(return_value=MockCompletionResponse("True")),
-    ):
-        completion = await llm.aget_completion(messages, generation_config)
-        assert isinstance(completion, LLMChatCompletion)
-        assert completion.choices[0].message.role == "assistant"
-        assert completion.choices[0].message.content.strip() == "True"
-        assert completion.id == "mock_id"
-        assert completion.model == "gpt-4o-mini"
-        assert completion.object == "chat.completion"
-
-
-@pytest.mark.asyncio
-@pytest.mark.parametrize("llm_fixture", ["lite_llm", "openai_llm"])
-async def test_aget_completion_stream(
-    request, llm_fixture, messages, generation_config
-):
-    llm = request.getfixturevalue(llm_fixture)
-    generation_config.stream = True
-
-    async def mock_stream():
-        yield MockStreamResponse("T")
-        yield MockStreamResponse("ru")
-        yield MockStreamResponse("e")
-
-    with patch.object(
-        llm, "_execute_task", AsyncMock(return_value=mock_stream())
-    ):
-        stream = llm.aget_completion_stream(messages, generation_config)
-        chunks = [chunk async for chunk in stream]
-        assert all(
-            isinstance(chunk, LLMChatCompletionChunk) for chunk in chunks
-        )
-        assert len(chunks) == 3
-        assert (
-            "".join(chunk.choices[0].delta.content for chunk in chunks)
-            == "True"
-        )
-        assert all(chunk.object == "chat.completion.chunk" for chunk in chunks)
diff --git a/py/tests/test_logging.py b/py/tests/test_logging.py
deleted file mode 100644
index 860d8a8bc..000000000
--- a/py/tests/test_logging.py
+++ /dev/null
@@ -1,207 +0,0 @@
-import asyncio
-import logging
-import os
-import uuid
-from uuid import UUID
-
-import pytest
-
-from core import (
-    LocalRunLoggingProvider,
-    LoggingConfig,
-    PostgresLoggingConfig,
-    PostgresRunLoggingProvider,
-    RedisLoggingConfig,
-    RedisRunLoggingProvider,
-    generate_run_id,
-)
-
-logger = logging.getLogger(__name__)
-
-
-@pytest.fixture(scope="session", autouse=True)
-def event_loop_policy():
-    asyncio.set_event_loop_policy(asyncio.DefaultEventLoopPolicy())
-
-
-@pytest.fixture(scope="function", autouse=True)
-async def cleanup_tasks():
-    yield
-    tasks = [t for t in asyncio.all_tasks() if t is not asyncio.current_task()]
-    [task.cancel() for task in tasks]
-    await asyncio.gather(*tasks, return_exceptions=True)
-
-
-@pytest.fixture(scope="function")
-async def local_provider():
-    unique_id = str(uuid.uuid4())
-    logging_path = f"test_{unique_id}.sqlite"
-    provider = LocalRunLoggingProvider(
-        LoggingConfig(logging_path=logging_path)
-    )
-    await provider._init()
-    yield provider
-    await provider.close()
-    if os.path.exists(logging_path):
-        os.remove(logging_path)
-
-
-@pytest.fixture(scope="function")
-async def postgres_provider():
-    log_table = f"logs_{str(uuid.uuid4()).replace('-', '_')}"
-    log_info_table = f"log_info_{str(uuid.uuid4()).replace('-', '_')}"
-    provider = PostgresRunLoggingProvider(
-        PostgresLoggingConfig(
-            log_table=log_table, log_info_table=log_info_table
-        )
-    )
-    await provider._init()
-    yield provider
-    await provider.close()
-
-
-@pytest.fixture
-async def provider(request):
-    return request.getfixturevalue(request.param)
-
-
-all_providers = [
-    pytest.param("local_provider", id="local"),
-    pytest.param("postgres_provider", id="postgres"),
-]
-
-
-@pytest.mark.asyncio
-@pytest.mark.parametrize("provider", all_providers, indirect=True)
-async def test_logging(provider):
-    run_id = generate_run_id()
-    await provider.log(run_id, "key", "value")
-    logs = await provider.get_logs([run_id])
-    assert len(logs) == 1
-    assert logs[0]["key"] == "key"
-    assert logs[0]["value"] == "value"
-
-
-@pytest.mark.asyncio
-@pytest.mark.parametrize("provider", all_providers, indirect=True)
-async def test_multiple_log_entries(provider):
-    run_ids = [generate_run_id() for _ in range(3)]
-    entries = [
-        (run_id, f"key_{i}", f"value_{i}") for i, run_id in enumerate(run_ids)
-    ]
-    for run_id, key, value in entries:
-        await provider.log(run_id, key, value)
-
-    logs = await provider.get_logs(run_ids)
-    assert len(logs) == 3, f"Expected 3 logs, got {len(logs)}"
-
-    for log in logs:
-        run_id = log.get("run_id")
-        assert run_id is not None, f"Log entry is missing 'run_id': {log}"
-
-        if isinstance(run_id, str):
-            run_id = UUID(run_id)
-
-        matching_entries = [entry for entry in entries if entry[0] == run_id]
-        assert (
-            len(matching_entries) == 1
-        ), f"No matching entry found for run_id {run_id}"
-
-        selected_entry = matching_entries[0]
-        assert log["key"] == selected_entry[1]
-        assert log["value"] == selected_entry[2]
-
-    # Additional check to ensure all entries were logged
-    logged_ids = set(
-        (
-            UUID(log["run_id"])
-            if isinstance(log["run_id"], str)
-            else log["run_id"]
-        )
-        for log in logs
-    )
-    entry_ids = set(entry[0] for entry in entries)
-    assert (
-        logged_ids == entry_ids
-    ), f"Mismatch between logged IDs {logged_ids} and entry IDs {entry_ids}"
-
-
-@pytest.mark.asyncio
-@pytest.mark.parametrize("provider", all_providers, indirect=True)
-async def test_log_retrieval_limit(provider):
-    run_ids = []
-    for i in range(10):
-        run_ids.append(generate_run_id())
-        await provider.log(run_ids[-1], f"key_{i}", f"value_{i}")
-
-    logs = await provider.get_logs(run_ids[:5])
-    assert len(logs) == 5
-
-
-@pytest.mark.asyncio
-@pytest.mark.parametrize("provider", all_providers, indirect=True)
-async def test_specific_run_type_retrieval(provider):
-    run_id_0, run_id_1 = generate_run_id(), generate_run_id()
-
-    await provider.log(run_id_0, "run_type", "RETRIEVAL")
-    await provider.log(run_id_0, "key_0", "value_0")
-    await provider.log(run_id_1, "run_type", "MANAGEMENT")
-    await provider.log(run_id_1, "key_1", "value_1")
-
-    # Log info for both run IDs
-    await provider.info_log(run_id_0, "RETRIEVAL", uuid.uuid4())
-    await provider.info_log(run_id_1, "MANAGEMENT", uuid.uuid4())
-
-    run_info = await provider.get_info_logs(run_type_filter="RETRIEVAL")
-    assert (
-        len(run_info) == 1
-    ), f"Expected 1 'RETRIEVAL' log, got {len(run_info)}"
-    assert (
-        run_info[0].run_id == run_id_0
-    ), f"Expected run_id {run_id_0}, got {run_info[0].run_id}"
-
-    logs = await provider.get_logs([run.run_id for run in run_info])
-    assert len(logs) == 2, f"Expected 2 logs for run_id_0, got {len(logs)}"
-    assert all(
-        log["run_id"] == run_id_0 for log in logs
-    ), "All logs should be for run_id_0"
-    assert any(
-        log["key"] == "run_type" and log["value"] == "RETRIEVAL"
-        for log in logs
-    ), "Should have a 'RETRIEVAL' log"
-    assert any(
-        log["key"] == "key_0" and log["value"] == "value_0" for log in logs
-    ), "Should have a 'key_0' log"
-
-
-@pytest.mark.asyncio
-@pytest.mark.parametrize("provider", all_providers, indirect=True)
-async def test_info_logging(provider):
-    run_id = generate_run_id()
-    user_id = uuid.uuid4()
-    run_type = "RETRIEVAL"
-    await provider.info_log(run_id, run_type, user_id)
-    info_logs = await provider.get_info_logs()
-    assert len(info_logs) == 1
-    assert info_logs[0].run_id == run_id
-    assert info_logs[0].run_type == run_type
-    assert info_logs[0].user_id == user_id
-
-
-@pytest.mark.asyncio
-@pytest.mark.parametrize("provider", all_providers, indirect=True)
-async def test_get_info_logs_with_user_filter(provider):
-    user_id_1, user_id_2 = uuid.uuid4(), uuid.uuid4()
-    await provider.info_log(generate_run_id(), "RETRIEVAL", user_id_1)
-    await provider.info_log(generate_run_id(), "MANAGEMENT", user_id_2)
-
-    info_logs = await provider.get_info_logs(user_ids=[user_id_1])
-    assert len(info_logs) == 1
-    assert info_logs[0].user_id == user_id_1
-
-    info_logs = await provider.get_info_logs(
-        run_type_filter="MANAGEMENT", user_ids=[user_id_2]
-    )
-    assert len(info_logs) == 1
-    assert info_logs[0].user_id == user_id_2
-    assert info_logs[0].run_type == "MANAGEMENT"
diff --git a/py/tests/test_vector_db.py b/py/tests/test_vector_db.py
deleted file mode 100644
index 65a8c3f49..000000000
--- a/py/tests/test_vector_db.py
+++ /dev/null
@@ -1,307 +0,0 @@
-import random
-from uuid import uuid4
-
-import pytest
-
-from core.base import DatabaseConfig, Vector, VectorEntry, VectorSearchSettings
-from core.providers import PostgresDBProvider
-
-
-@pytest.fixture
-def vector_db():
-    random_collection_name = (
-        f"test_collection_{random.randint(0, 1_000_000_000)}"
-    )
-    config = DatabaseConfig.create(
-        provider="postgres", vecs_collection=random_collection_name
-    )
-    db = PostgresDBProvider(config, dimension=3)
-    yield db.vector
-    # Teardown
-    db.vx.delete_collection(db.config.vecs_collection)
-
-
-@pytest.fixture
-def sample_entries(vector_db):
-    entries = [
-        VectorEntry(
-            fragment_id=uuid4(),
-            extraction_id=uuid4(),
-            document_id=uuid4(),
-            user_id=uuid4(),
-            group_ids=[uuid4()],
-            vector=Vector(data=[0.1, 0.2, 0.3]),
-            text="Apple",
-            metadata={
-                "category": "fruit",
-                "color": "red",
-                "price": 1.0,
-            },
-        ),
-        VectorEntry(
-            fragment_id=uuid4(),
-            extraction_id=uuid4(),
-            document_id=uuid4(),
-            user_id=uuid4(),
-            group_ids=[uuid4()],
-            vector=Vector(data=[0.2, 0.3, 0.4]),
-            text="Banana",
-            metadata={
-                "category": "fruit",
-                "color": "yellow",
-                "price": 0.5,
-            },
-        ),
-        VectorEntry(
-            fragment_id=uuid4(),
-            extraction_id=uuid4(),
-            document_id=uuid4(),
-            user_id=uuid4(),
-            group_ids=[uuid4()],
-            vector=Vector(data=[0.3, 0.4, 0.5]),
-            text="Carrot",
-            metadata={
-                "category": "vegetable",
-                "color": "orange",
-                "price": 0.75,
-            },
-        ),
-        VectorEntry(
-            fragment_id=uuid4(),
-            extraction_id=uuid4(),
-            document_id=uuid4(),
-            user_id=uuid4(),
-            group_ids=[uuid4()],
-            vector=Vector(data=[0.4, 0.5, 0.6]),
-            text="Durian",
-            metadata={
-                "category": "fruit",
-                "color": "green",
-                "price": 5.0,
-            },
-        ),
-    ]
-    for entry in entries:
-        vector_db.upsert(entry)
-    return entries
-
-
-def test_search_equality_filter(vector_db, sample_entries):
-    query_vector = Vector(data=[0.2, 0.3, 0.4])
-    results = vector_db.semantic_search(
-        query_vector.data,
-        VectorSearchSettings(
-            search_limit=10, filters={"category": {"$eq": "fruit"}}
-        ),
-    )
-    assert len(results) == 3
-    assert all(r.metadata["category"] == "fruit" for r in results)
-
-
-def test_search_not_equal_filter(vector_db, sample_entries):
-    query_vector = Vector(data=[0.2, 0.3, 0.4])
-    results = vector_db.semantic_search(
-        query_vector.data,
-        VectorSearchSettings(
-            search_limit=10, filters={"category": {"$ne": "fruit"}}
-        ),
-    )
-    assert len(results) == 1
-    assert results[0].metadata["category"] == "vegetable"
-
-
-def test_search_greater_than_filter(vector_db, sample_entries):
-    query_vector = Vector(data=[0.2, 0.3, 0.4])
-    results = vector_db.semantic_search(
-        query_vector.data,
-        VectorSearchSettings(search_limit=10, filters={"price": {"$gt": 1.0}}),
-    )
-    assert len(results) == 1
-    assert results[0].text == "Durian"
-
-
-def test_search_less_than_or_equal_filter(vector_db, sample_entries):
-    query_vector = Vector(data=[0.2, 0.3, 0.4])
-    results = vector_db.semantic_search(
-        query_vector.data,
-        VectorSearchSettings(
-            search_limit=10, filters={"price": {"$lte": 1.0}}
-        ),
-    )
-    assert len(results) == 3
-    assert all(r.metadata["price"] <= 1.0 for r in results)
-
-
-def test_search_in_filter(vector_db, sample_entries):
-    query_vector = Vector(data=[0.2, 0.3, 0.4])
-    results = vector_db.semantic_search(
-        query_vector.data,
-        VectorSearchSettings(
-            search_limit=10, filters={"color": {"$in": ["red", "yellow"]}}
-        ),
-    )
-    assert len(results) == 2
-    assert all(r.metadata["color"] in ["red", "yellow"] for r in results)
-
-
-def test_search_complex_and_filter(vector_db, sample_entries):
-    query_vector = Vector(data=[0.2, 0.3, 0.4])
-    results = vector_db.semantic_search(
-        query_vector.data,
-        VectorSearchSettings(
-            search_limit=10,
-            filters={
-                "$and": [
-                    {"category": {"$eq": "fruit"}},
-                    {"price": {"$lt": 2.0}},
-                    {"color": {"$ne": "yellow"}},
-                ]
-            },
-        ),
-    )
-    assert len(results) == 1
-    assert results[0].text == "Apple"
-
-
-def test_search_complex_or_filter(vector_db, sample_entries):
-    query_vector = Vector(data=[0.2, 0.3, 0.4])
-    results = vector_db.semantic_search(
-        query_vector.data,
-        VectorSearchSettings(
-            search_limit=10,
-            filters={
-                "$or": [
-                    {"category": {"$eq": "vegetable"}},
-                    {"price": {"$gte": 5.0}},
-                ]
-            },
-        ),
-    )
-    assert len(results) == 2
-    assert any(r.metadata["category"] == "vegetable" for r in results)
-    assert any(r.metadata["price"] >= 5.0 for r in results)
-
-
-def test_search_nested_and_or_filters(vector_db, sample_entries):
-    query_vector = Vector(data=[0.2, 0.3, 0.4])
-    results = vector_db.semantic_search(
-        query_vector.data,
-        VectorSearchSettings(
-            search_limit=10,
-            filters={
-                "$and": [
-                    {"category": {"$eq": "fruit"}},
-                    {
-                        "$or": [
-                            {"color": {"$in": ["red", "yellow"]}},
-                            {"price": {"$gt": 2.0}},
-                        ]
-                    },
-                ]
-            },
-        ),
-    )
-    assert len(results) == 3
-    assert all(r.metadata["category"] == "fruit" for r in results)
-    assert all(
-        r.metadata["color"] in ["red", "yellow"] or r.metadata["price"] > 2.0
-        for r in results
-    )
-
-
-def test_delete_equality(vector_db, sample_entries):
-    deleted_ids = vector_db.delete({"category": {"$eq": "vegetable"}})
-    assert len(deleted_ids) == 1
-    remaining = vector_db.semantic_search(
-        Vector(data=[0.2, 0.3, 0.4]).data,
-        VectorSearchSettings(search_limit=10),
-    )
-    assert len(remaining) == 3
-    assert all(r.metadata["category"] == "fruit" for r in remaining)
-
-
-def test_delete_greater_than(vector_db, sample_entries):
-    deleted_ids = vector_db.delete({"price": {"$gt": 1.0}})
-    assert len(deleted_ids) == 1
-    remaining = vector_db.semantic_search(
-        Vector(data=[0.2, 0.3, 0.4]).data,
-        VectorSearchSettings(search_limit=10),
-    )
-    assert len(remaining) == 3
-    assert all(r.metadata["price"] <= 1.0 for r in remaining)
-
-
-def test_delete_in(vector_db, sample_entries):
-    deleted_ids = vector_db.delete({"color": {"$in": ["red", "yellow"]}})
-    assert len(deleted_ids) == 2
-    remaining = vector_db.semantic_search(
-        Vector(data=[0.2, 0.3, 0.4]).data,
-        VectorSearchSettings(search_limit=10),
-    )
-    assert len(remaining) == 2
-    assert all(r.metadata["color"] not in ["red", "yellow"] for r in remaining)
-
-
-def test_delete_complex_and(vector_db, sample_entries):
-    deleted_ids = vector_db.delete(
-        {
-            "$and": [
-                {"category": {"$eq": "fruit"}},
-                {"price": {"$lt": 1.0}},
-            ]
-        }
-    )
-    assert len(deleted_ids) == 1
-    remaining = vector_db.semantic_search(
-        Vector(data=[0.2, 0.3, 0.4]).data,
-        VectorSearchSettings(search_limit=10),
-    )
-    assert len(remaining) == 3
-    assert not any(
-        r.metadata["category"] == "fruit" and r.metadata["price"] < 1.0
-        for r in remaining
-    )
-
-
-def test_delete_complex_or(vector_db, sample_entries):
-    deleted_ids = vector_db.delete(
-        {
-            "$or": [
-                {"category": {"$eq": "vegetable"}},
-                {"price": {"$gte": 5.0}},
-            ]
-        }
-    )
-    assert len(deleted_ids) == 2
-    remaining = vector_db.semantic_search(
-        Vector(data=[0.2, 0.3, 0.4]).data,
-        VectorSearchSettings(search_limit=10),
-    )
-    assert len(remaining) == 2
-    assert all(
-        r.metadata["category"] != "vegetable" and r.metadata["price"] < 5.0
-        for r in remaining
-    )
-
-
-def test_delete_nested_and_or(vector_db, sample_entries):
-    deleted_ids = vector_db.delete(
-        {
-            "$and": [
-                {"category": {"$eq": "fruit"}},
-                {
-                    "$or": [
-                        {"color": {"$in": ["red", "yellow"]}},
-                        {"price": {"$gt": 2.0}},
-                    ]
-                },
-            ]
-        }
-    )
-    assert len(deleted_ids) == 3
-    remaining = vector_db.semantic_search(
-        Vector(data=[0.2, 0.3, 0.4]).data,
-        VectorSearchSettings(search_limit=10),
-    )
-    assert len(remaining) == 1
-    assert remaining[0].metadata["category"] == "vegetable"
diff --git a/templates/ycombinator_graphrag/python-backend/main.py b/templates/ycombinator_graphrag/python-backend/main.py
index fcd93ddac..a68a70b8c 100644
--- a/templates/ycombinator_graphrag/python-backend/main.py
+++ b/templates/ycombinator_graphrag/python-backend/main.py
@@ -1,3 +1,4 @@
+import yaml
 import time
 import uuid
 import os
@@ -26,7 +27,7 @@ def get_dataset(dataset_name, save_folder = '.data', split = "train", column_nam
     data = load_dataset(dataset_name)
     data = data[split].select(range(args.num_companies))
     for item in data:
-        file_path = os.path.join(save_folder, f"{item['id']}.txt")
+        file_path = os.path.join(save_folder, f"{item['slug']}.txt")
         # Check if the item contains JSON data
         with open(file_path, "w") as f:
             f.write(item[column_name])
@@ -37,31 +38,73 @@ def generate_id_from_label(label: str) -> uuid.UUID:
 
 def wait_till_ready(status_var, status_value):
     while True:
-        documents_overview = client.documents_overview()['results']
+        documents_overview = client.documents_overview(limit=1000)['results']
+
+        # print a percentage contribution of each status value value of status var
+        status_counts = {}
+        for document in documents_overview:
+            print(document.get("name"), document.get(status_var))
+            status = document.get(status_var)
+            if status in status_counts:
+                status_counts[status] += 1
+            else:
+                status_counts[status] = 1
+
+        # show fraction of each status value
+        for status, count in status_counts.items():
+            print(f"{status}: {count / len(documents_overview) * 100:.2f}%")
+
+
         if all(document.get(status_var) == status_value for document in documents_overview):
             break
+        else:
+            # if at least one says failed, exit
+            if "failure" in status_counts or "enrichment_failure" in status_counts:
+                print(f"At least one document has failed {status_var} => {status_value}")
+                for document in documents_overview:
+                    if document.get(status_var) == "failure":
+                        print(document.get("id"), document.get("status"))
+                exit(1)
         time.sleep(10)
 
 def ingest_data():
+    print("Ingesting data...")
     for text in get_dataset(args.dataset_name, args.save_folder, args.split, args.column_name):
         client.ingest_files(file_paths=[text])
 
     # wait till all get ingested
     wait_till_ready("ingestion_status", "success")
+    print("Ingested data")
 
 
 def create_graph():
-    client.create_graph()
+    print("Creating graph...")
+    entity_types = ["ORGANIZATION", "GEO", "PERSON", "INDUSTRY_SECTOR", "PRODUCT", "COMPETITOR", "TECHNOLOGY", "ACQUISITION", "INVESTOR", ]
+    documents_overview = client.documents_overview(limit=1000)['results']
+    document_ids = [document.get("id") for document in documents_overview if document.get("restructuring_status") in ["pending", "failure", "enrichment_failure"]]
+    client.create_graph(document_ids = document_ids)
     wait_till_ready("restructuring_status", "success")
 
 
 def enrich_graph():
+    print("Enriching graph...")
     client.enrich_graph()
     wait_till_ready("restructuring_status", "enriched")
 
+def update_prompts():
+    print("Updating prompts...")
+    prompts = yaml.load(open("prompts.yaml", "r"), Loader=yaml.FullLoader)
+    for prompt_name, prompt in prompts.items():
+        client.update_prompt(
+            name=prompt_name,
+            template=prompt["template"],
+            input_types=prompt["input_types"]
+        )
+
 def ingest():
-    ingest_data()
-    create_graph()
+    update_prompts()
+    # ingest_data()
+    # create_graph()
     enrich_graph()
 
 def ask():
@@ -69,6 +112,7 @@ def ask():
     print(result)
 
 if __name__ == "__main__":
+
     if args.ingest and not args.ask:
         ingest()
         print("Ingested data")
diff --git a/templates/ycombinator_graphrag/python-backend/prompts.yaml b/templates/ycombinator_graphrag/python-backend/prompts.yaml
new file mode 100644
index 000000000..de652edc8
--- /dev/null
+++ b/templates/ycombinator_graphrag/python-backend/prompts.yaml
@@ -0,0 +1,282 @@
+graphrag_triplet_extraction_zero_shot:
+  template: >
+    -Goal-
+    Given a text document, identify all entities and their entity types from the text and all relationships among the identified entities.
+    Given the text, extract up to {max_knowledge_triples} entity-relation triplets.
+    -Steps-
+    1. Identify all entities. For each identified entity, extract the following information:
+    - entity_name: Name of the entity, capitalized
+    - entity_type: Type of the entity. If the list below is not empty, only extract entities of the given types. If this list is empty, extract all entities.
+    {entity_types}
+    - entity_description: Comprehensive description of the entity's attributes and activities that is explicitly mentioned in the text.
+    Format each entity as ("entity"$$$$<entity_name>$$$$<entity_type>$$$$<entity_description>).
+    Output additional entities based on the entity_description if they contain more named entities. You will later use this to create relationships between them.
+    2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.
+    For each pair of related entities, extract the following information:
+    - source_entity: name of the source entity, as identified in step 1
+    - target_entity: name of the target entity, as identified in step 1
+    - relation: relationship between source_entity and target_entity. If the list below is not empty, only extract relations of the given types. If this list is empty, extract all relations.
+    {relation_types}
+    - relationship_description: explanation as to why you think the source entity and the target entity are related to each other
+    - relationship_weight: a weight between 0 and 10 that represents the strength of the relationship between the source entity and the target entity
+    Format each relationship as ("relationship"$$$$<source_entity>$$$$<target_entity>$$$$<relation>$$$$<relationship_description>$$$$<relationship_weight>)
+    3. Make sure that each entity has at least one relationship. If you are not able to find a relationship from the pair of entities above, first create a new entity based on the source entity description and then create a relationship connecting them.
+       Again, make sure that each entity has at least one relationship. If you don't do this, you will be fired.
+    3. When finished, output in the format in as given in the examples below. Do not repeat the same entity or relationship multiple times.
+
+    Example 1:
+    If the list is empty, extract all entities and relations.
+    Entity_types:
+    Relation_types:
+    Text:
+    The Verdantis's Central Institution is scheduled to meet on Monday and Thursday, with the institution planning to release its latest policy decision on Thursday at 1:30 p.m. PDT, followed by a press conference where Central Institution Chair Martin Smith will take questions. Investors expect the Market Strategy Committee to hold its benchmark interest rate steady in a range of 3.5%-3.75%.
+    ######################
+    Output:
+    ("entity"$$$$Central Institution$$$$Organization$$$$The central bank of Verdantis, responsible for monetary policy and setting interest rates)
+    ("entity"$$$$Martin Smith$$$$Person$$$$Chair of the Central Institution of Verdantis)
+    ("entity"$$$$Market Strategy Committee$$$$Organization$$$$Committee within the Central Institution that makes key decisions on monetary policy)
+    ("entity"$$$$Monday$$$$Time$$$$First meeting day of the Central Institution)
+    ("entity"$$$$Thursday$$$$Time$$$$Second meeting day of the Central Institution, when policy decisions are announced)
+    ("entity"$$$$1:30 PM PDT$$$$Time$$$$Scheduled time for the Central Institution's policy decision release on Thursday)
+    ("entity"$$$$Press Conference$$$$Event$$$$Media briefing held by the Central Institution following the policy decision release)
+    ("entity"$$$$Interest Rate$$$$Economic Concept$$$$Key monetary policy tool used by the Central Institution to influence the economy)
+    ("entity"$$$$3.5%-3.75%$$$$Economic Value$$$$Expected range for the benchmark interest rate)
+    ("relationship"$$$$Martin Smith$$$$Central Institution$$$$Chairs$$$$Martin Smith is the Chair of the Central Institution and will lead the press conference$$$$9)
+    ("relationship"$$$$Central Institution$$$$Press Conference$$$$Conducts$$$$The Central Institution conducts a press conference following its policy decision release$$$$9)
+    ("relationship"$$$$Market Strategy Committee$$$$Central Institution$$$$Part Of$$$$The Market Strategy Committee is a key decision-making body within the Central Institution$$$$9)
+    ("relationship"$$$$Market Strategy Committee$$$$Interest Rate$$$$Sets$$$$The Market Strategy Committee determines the benchmark interest rate$$$$9)
+    ("relationship"$$$$Central Institution$$$$Interest Rate$$$$Controls$$$$The Central Institution controls interest rates as part of its monetary policy$$$$9)
+    ("relationship"$$$$3.5%-3.75%$$$$Interest Rate$$$$Expected Range$$$$Investors anticipate the benchmark interest rate to remain within this range$$$$8)
+    ("relationship"$$$$Monday$$$$Central Institution$$$$Meeting Day$$$$The Central Institution holds its first meeting of the week on Monday$$$$7)
+    ("relationship"$$$$Thursday$$$$Central Institution$$$$Decision Day$$$$The Central Institution announces its policy decision on Thursday$$$$9)
+    ("relationship"$$$$1:30 PM PDT$$$$Central Institution$$$$Press Conference$$$$The policy decision release at 1:30 PM PDT is followed by the press conference$$$$8)
+
+    ######################
+    Example 2:
+    If the list is empty, extract all entities and relations.
+    Entity_types: Organization
+    Relation_types: Formerly Owned By
+
+    Text:
+    TechGlobal's (TG) stock skyrocketed in its opening day on the Global Exchange Thursday. But IPO experts warn that the semiconductor corporation's debut on the public markets isn't indicative of how other newly listed companies may perform.
+
+    TechGlobal, a formerly public company, was taken private by Vision Holdings in 2014. The well-established chip designer says it powers 85% of premium smartphones.
+    ######################
+    Output:
+    ("entity"$$$$TECHGLOBAL$$$$Organization$$$$TechGlobal is a stock now listed on the Global Exchange which powers 85% of premium smartphones)
+    ("entity"$$$$VISION HOLDINGS$$$$Organization$$$$Vision Holdings is a firm that previously owned TechGlobal)
+    ("relationship"$$$$TECHGLOBAL$$$$VISION HOLDINGS$$$$Formerly Owned By$$$$Vision Holdings formerly owned TechGlobal from 2014 until present$$$$5)
+
+    ######################
+    Example 3:
+    If the list is empty, extract all entities and relations.
+    Entity_types: Organization,Geo,Person
+    Relation_types: ""
+    Text:
+    Five Aurelians jailed for 8 years in Firuzabad and widely regarded as hostages are on their way home to Aurelia.
+
+    The swap orchestrated by Quintara was finalized when $8bn of Firuzi funds were transferred to financial institutions in Krohaara, the capital of Quintara.
+
+    The exchange initiated in Firuzabad's capital, Tiruzia, led to the four men and one woman, who are also Firuzi nationals, boarding a chartered flight to Krohaara.
+
+    They were welcomed by senior Aurelian officials and are now on their way to Aurelia's capital, Cashion.
+
+    The Aurelians include 39-year-old businessman Samuel Namara, who has been held in Tiruzia's Alhamia Prison, as well as journalist Durke Bataglani, 59, and environmentalist Meggie Tazbah, 53, who also holds Bratinas nationality.
+    ######################
+    Output:
+    ("entity"$$$$FIRUZABAD$$$$Geo$$$$Firuzabad held Aurelians as hostages)
+    ("entity"$$$$AURELIA$$$$Geo$$$$Country seeking to release hostages)
+    ("entity"$$$$QUINTARA$$$$Geo$$$$Country that negotiated a swap of money in exchange for hostages)
+    ("entity"$$$$TIRUZIA$$$$Geo$$$$Capital of Firuzabad where the Aurelians were being held)
+    ("entity"$$$$KROHAARA$$$$Geo$$$$Capital city in Quintara)
+    ("entity"$$$$CASHION$$$$Geo$$$$Capital city in Aurelia)
+    ("entity"$$$$SAMUEL NAMARA$$$$Person$$$$Aurelian who spent time in Tiruzia's Alhamia Prison)
+    ("entity"$$$$ALHAMIA PRISON$$$$Geo$$$$Prison in Tiruzia)
+    ("entity"$$$$DURKE BATAGLANI$$$$Person$$$$Aurelian journalist who was held hostage)
+    ("entity"$$$$MEGGIE TAZBAH$$$$Person$$$$Bratinas national and environmentalist who was held hostage)
+    ("relationship"$$$$FIRUZABAD$$$$AURELIA$$$$Negotiated Hostage Exchange$$$$Firuzabad negotiated a hostage exchange with Aurelia$$$$2)
+    ("relationship"$$$$QUINTARA$$$$AURELIA$$$$Negotiated Hostage Exchange$$$$Quintara brokered the hostage exchange between Firuzabad and Aurelia$$$$2)
+    ("relationship"$$$$QUINTARA$$$$FIRUZABAD$$$$Negotiated Hostage Exchange$$$$Quintara brokered the hostage exchange between Firuzabad and Aurelia$$$$2)
+    ("relationship"$$$$SAMUEL NAMARA$$$$ALHAMIA PRISON$$$$Held At Alhamia Prison$$$$Samuel Namara was a prisoner at Alhamia prison$$$$8)
+    ("relationship"$$$$SAMUEL NAMARA$$$$MEGGIE TAZBAH$$$$Exchanged Hostages$$$$Samuel Namara and Meggie Tazbah were exchanged in the same hostage release$$$$2)
+    ("relationship"$$$$SAMUEL NAMARA$$$$DURKE BATAGLANI$$$$Exchanged Hostages$$$$Samuel Namara and Durke Bataglani were exchanged in the same hostage release$$$$2)
+    ("relationship"$$$$MEGGIE TAZBAH$$$$DURKE BATAGLANI$$$$Exchanged Hostages$$$$Meggie Tazbah and Durke Bataglani were exchanged in the same hostage release$$$$2)
+    ("relationship"$$$$SAMUEL NAMARA$$$$FIRUZABAD$$$$Held As Hostage$$$$Samuel Namara was a hostage in Firuzabad$$$$2)
+    ("relationship"$$$$MEGGIE TAZBAH$$$$FIRUZABAD$$$$Held As Hostage$$$$Meggie Tazbah was a hostage in Firuzabad$$$$2)
+    ("relationship"$$$$DURKE BATAGLANI$$$$FIRUZABAD$$$$Held As Hostage$$$$Durke Bataglani was a hostage in Firuzabad$$$$2)
+
+    -Real Data-
+    ######################
+    If the list is empty, extract all entities and relations.
+    Entity_types: {entity_types}
+    Relation_types: {relation_types}
+
+    Text:
+    {input}
+    ######################
+    Output:
+
+  input_types:
+    max_knowledge_triples: int
+    input: str
+    entity_types: list[str]
+    relation_types: list[str]
+
+graphrag_community_reports_prompt:
+  template: |
+      You are an AI assistant that helps a human analyst perform information discovery within the ecosystem of Y Combinator startups. Information discovery is the process of identifying and assessing relevant information associated with certain startups and their interconnections within the Y Combinator network.
+
+      # Goal
+      Write a comprehensive report of a Y Combinator community, given a list of startups that belong to the community, their relationships, and optional associated claims. The report will be used to inform decision-makers about information related to the startups and their potential impact. The content of this report includes an overview of the community's key startups, their funding status, technical capabilities, reputation, and noteworthy claims.
+
+      # Report Structure
+
+      The report should include the following sections:
+
+      - TITLE: The community's name that represents its key startups - the title should be short but specific. When possible, include representative startup names in the title.
+      - SUMMARY: An executive summary of the community's overall structure, how its startups are related to each other, and significant information associated with its startups.
+      - IMPACT SEVERITY RATING: A float score between 0-10 that represents the severity of IMPACT posed by startups within the community. IMPACT is the scored importance of the community.
+      - RATING EXPLANATION: Provide a single sentence explanation of the IMPACT severity rating.
+      - DETAILED FINDINGS: A list of 5-10 key insights about the community. Each finding should be a comprehensive statement grounded according to the grounding rules below.
+
+      Return output as a well-formed JSON-formatted string with the following format:
+      ```json
+      {{
+          "title": <report_title>,
+          "summary": <executive_summary>,
+          "rating": <impact_severity_rating>,
+          "rating_explanation": <rating_explanation>,
+          "findings": [
+              "<finding1>",
+              "<finding2>",
+              "<finding3>",
+              "<finding4>",
+              "<finding5>"
+              // Additional findings...
+          ]
+      }}
+      ```
+
+      # Example Input
+      -----------
+      Text:
+
+      Entities
+
+      id,startup,description
+      101,OpenAI,OpenAI is an AI research and deployment company.
+      102,Stripe,Stripe is a technology company that builds economic infrastructure for the internet.
+      103,Airbnb,Airbnb is an online marketplace for lodging and tourism experiences.
+
+      Relationships
+
+      id,source,target,description
+      201,OpenAI,Stripe,OpenAI partnered with Stripe to integrate payment solutions.
+      202,Stripe,Airbnb,Stripe provides payment processing services to Airbnb.
+      203,Airbnb,OpenAI,Airbnb utilizes OpenAI's AI tools for customer service.
+      204,Stripe,OpenAI,Stripe invested in OpenAI's latest funding round.
+      205,Airbnb,Stripe,Airbnb and Stripe collaborate on expanding global payment options.
+
+      Output:
+      {{
+          "title": "OpenAI, Stripe, and Airbnb Community",
+          "summary": "The community comprises key startups like OpenAI, Stripe, and Airbnb, which are interconnected through strategic partnerships and investments. These relationships highlight a robust network focused on advancing AI technologies, payment infrastructure, and online marketplaces.",
+          "rating": 7.5,
+          "rating_explanation": "The impact severity rating is high due to the significant influence these startups have on technology, finance, and the global economy.",
+          "findings": [
+              "OpenAI stands out as a leader in artificial intelligence research and deployment within the Y Combinator community. Its partnerships with companies like Stripe and Airbnb demonstrate its integral role in integrating AI solutions across various industries. OpenAI's influence is further amplified by its involvement in key projects that drive innovation and efficiency. [Data: Entities (101), Relationships (201, 203, 204, +more)]",
+              "Stripe serves as a critical financial infrastructure provider, facilitating payment processing for startups like Airbnb and partnering with OpenAI to enhance payment solutions. Its strategic investments and collaborations underscore its importance in the Y Combinator ecosystem, enabling seamless financial transactions and supporting startup growth. [Data: Entities (102), Relationships (201, 202, 204, 205, +more)]",
+              "Airbnb leverages OpenAI's artificial intelligence tools to enhance its customer service capabilities, showcasing the practical application of AI in improving user experience. This integration highlights Airbnb's commitment to innovation and efficiency, positioning it as a forward-thinking leader within the community. [Data: Entities (103), Relationships (203, 205, +more)]",
+              "Stripe's investment in OpenAI's latest funding round illustrates the strategic financial moves that drive growth and innovation within the Y Combinator community. Such investments not only strengthen partnerships but also foster an environment of collaboration and shared success among startups. [Data: Relationships (204)]",
+              "The collaboration between Airbnb and Stripe to expand global payment options demonstrates a commitment to scalability and accessibility in the Y Combinator ecosystem. This initiative is pivotal in enabling startups to reach a broader international market, thereby increasing their impact and revenue potential. [Data: Relationships (205)]"
+          ]
+      }}
+
+      # Real Data
+
+      Use the following text for your answer. Do not make anything up in your answer.
+
+      Text:
+      {input_text}
+
+      Output:
+  input_types:
+    input_text: str
+
+graphrag_map_system_prompt:
+  template : |
+    ---Role---
+    You are a helpful assistant responding to questions about data in the tables provided.
+    ---Goal---
+    Generate a response consisting of a list of key points that responds to the user's question, summarizing all relevant information in the input data tables.
+    You should use the data provided in the data tables below as the primary context for generating the response.
+    If you don't know the answer or if the input data tables do not contain sufficient information to provide an answer, just say so. Do not make anything up.
+    Each key point in the response should have the following element:
+    - Description: A comprehensive description of the point.
+    - Importance Score: An integer score between 0-100 that indicates how important the point is in answering the user's question. An 'I don't know' type of response should have a score of 0.
+    The response should be JSON formatted as follows:
+    {{
+        "points": [
+            {{"description": "Description of point 1 [Data: Reports (report ids)]", "score": score_value}},
+            {{"description": "Description of point 2 [Data: Reports (report ids)]", "score": score_value}}
+        ]
+    }}
+    The response shall preserve the original meaning and use of modal verbs such as "shall", "may" or "will".
+    Points supported by data should list the relevant reports as references as follows:
+    "This is an example sentence supported by data references [Data: Reports (report ids)]"
+    **Do not list more than 5 record ids in a single reference**. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more.
+    For example:
+    "Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (2, 7, 64, 46, 34, +more)]. He is also CEO of company X [Data: Reports (1, 3)]"
+    where 1, 2, 3, 7, 34, 46, and 64 represent the id (not the index) of the relevant data report in the provided tables.
+    Do not include information where the supporting evidence for it is not provided.
+    ---Data tables---
+    {context_data}
+    ---Input---
+    {input}
+  input_types:
+    context_data: str
+    input: str
+
+graphrag_reduce_system_prompt:
+  template: |
+    ---Role---
+    You are a helpful assistant responding to questions about a dataset by synthesizing perspectives from multiple analysts.
+    ---Goal---
+    Generate a response of the target length and format that responds to the user's question, summarize all the reports from multiple analysts who focused on different parts of the dataset.
+    Note that the analysts' reports provided below are ranked in the **descending order of importance**.
+    If you don't know the answer or if the provided reports do not contain sufficient information to provide an answer, just say so. Do not make anything up.
+    The final response should remove all irrelevant information from the analysts' reports and merge the cleaned information into a comprehensive answer that provides explanations of all the key points and implications appropriate for the response length and format.
+    Add sections and commentary to the response as appropriate for the length and format. Style the response in markdown.
+    The response shall preserve the original meaning and use of modal verbs such as "shall", "may" or "will".
+    The response should also preserve all the data references previously included in the analysts' reports, but do not mention the roles of multiple analysts in the analysis process.
+    **Do not list more than 5 record ids in a single reference**. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more.
+
+    For example:
+    "Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (2, 7, 34, 46, 64, +more)]. He is also CEO of company X [Data: Reports (1, 3)]"
+    where 1, 2, 3, 7, 34, 46, and 64 represent the id (not the index) of the relevant data record.
+    Do not include information where the supporting evidence for it is not provided.
+    ---Target response length and format---
+    {response_type}
+    ---Analyst Reports---
+    {report_data}
+    ---Goal---
+    Generate a response of the target length and format that responds to the user's question, summarize all the reports from multiple analysts who focused on different parts of the dataset.
+    Note that the analysts' reports provided below are ranked in the **descending order of importance**.
+    If you don't know the answer or if the provided reports do not contain sufficient information to provide an answer, just say so. Do not make anything up.
+    The final response should remove all irrelevant information from the analysts' reports and merge the cleaned information into a comprehensive answer that provides explanations of all the key points and implications appropriate for the response length and format.
+    The response shall preserve the original meaning and use of modal verbs such as "shall", "may" or "will".
+    The response should also preserve all the data references previously included in the analysts' reports, but do not mention the roles of multiple analysts in the analysis process.
+    **Do not list more than 5 record ids in a single reference**. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more.
+    For example:
+    "Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (2, 7, 34, 46, 64, +more)]. He is also CEO of company X [Data: Reports (1, 3)]"
+    where 1, 2, 3, 7, 34, 46, and 64 represent the id (not the index) of the relevant data record.
+    Do not include information where the supporting evidence for it is not provided.
+    ---Target response length and format---
+    {response_type}
+    Add sections and commentary to the response as appropriate for the length and format. Style the response in markdown.
+    -- Query --
+    {input}
+  input_types:
+    response_type: str
+    report_data: str
+    input: str
diff --git a/templates/ycombinator_graphrag/python-backend/yc_scraper.ipynb b/templates/ycombinator_graphrag/python-backend/yc_scraper.ipynb
index 15af7589f..be6269ba5 100644
--- a/templates/ycombinator_graphrag/python-backend/yc_scraper.ipynb
+++ b/templates/ycombinator_graphrag/python-backend/yc_scraper.ipynb
@@ -125,6 +125,26 @@
     "print(\"Dataset uploaded successfully to Hugging Face Hub!\")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mRunning cells with 'z (Python 3.12.6)' requires the ipykernel package.\n",
+      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
+      "\u001b[1;31mCommand: 'conda install -p /Users/shreyas/micromamba/envs/z ipykernel --update-deps --force-reinstall'"
+     ]
+    }
+   ],
+   "source": [
+    "# V2"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/templates/ycombinator_graphrag/web-app/.eslintrc.json b/templates/ycombinator_graphrag/web-app/.eslintrc.json
new file mode 100644
index 000000000..7d3ff4ebf
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/.eslintrc.json
@@ -0,0 +1,4 @@
+{
+  "ignorePatterns": ["public/data/**"],
+  "extends": ["next", "next/core-web-vitals"]
+}
diff --git a/templates/ycombinator_graphrag/web-app/.gitignore b/templates/ycombinator_graphrag/web-app/.gitignore
new file mode 100644
index 000000000..fd3dbb571
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/.gitignore
@@ -0,0 +1,36 @@
+# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
+
+# dependencies
+/node_modules
+/.pnp
+.pnp.js
+.yarn/install-state.gz
+
+# testing
+/coverage
+
+# next.js
+/.next/
+/out/
+
+# production
+/build
+
+# misc
+.DS_Store
+*.pem
+
+# debug
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+
+# local env files
+.env*.local
+
+# vercel
+.vercel
+
+# typescript
+*.tsbuildinfo
+next-env.d.ts
diff --git a/templates/ycombinator_graphrag/web-app/.prettierignore b/templates/ycombinator_graphrag/web-app/.prettierignore
new file mode 100644
index 000000000..b8ec90b05
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/.prettierignore
@@ -0,0 +1 @@
+public/data/**
diff --git a/templates/ycombinator_graphrag/web-app/.prettierrc b/templates/ycombinator_graphrag/web-app/.prettierrc
new file mode 100644
index 000000000..92f97e756
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/.prettierrc
@@ -0,0 +1,6 @@
+{
+  "semi": true,
+  "singleQuote": true,
+  "tabWidth": 2,
+  "trailingComma": "es5"
+}
diff --git a/templates/ycombinator_graphrag/web-app/README.md b/templates/ycombinator_graphrag/web-app/README.md
new file mode 100644
index 000000000..a75ac5248
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/README.md
@@ -0,0 +1,40 @@
+This is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app).
+
+## Getting Started
+
+First, run the development server:
+
+```bash
+npm run dev
+# or
+yarn dev
+# or
+pnpm dev
+# or
+bun dev
+```
+
+Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
+
+You can start editing the page by modifying `pages/index.tsx`. The page auto-updates as you edit the file.
+
+[API routes](https://nextjs.org/docs/api-routes/introduction) can be accessed on [http://localhost:3000/api/hello](http://localhost:3000/api/hello). This endpoint can be edited in `pages/api/hello.ts`.
+
+The `pages/api` directory is mapped to `/api/*`. Files in this directory are treated as [API routes](https://nextjs.org/docs/api-routes/introduction) instead of React pages.
+
+This project uses [`next/font`](https://nextjs.org/docs/basic-features/font-optimization) to automatically optimize and load Inter, a custom Google Font.
+
+## Learn More
+
+To learn more about Next.js, take a look at the following resources:
+
+- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.
+- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.
+
+You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js/) - your feedback and contributions are welcome!
+
+## Deploy on Vercel
+
+The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.
+
+Check out our [Next.js deployment documentation](https://nextjs.org/docs/deployment) for more details.
diff --git a/templates/ycombinator_graphrag/web-app/components.json b/templates/ycombinator_graphrag/web-app/components.json
new file mode 100644
index 000000000..66f6c0d6c
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components.json
@@ -0,0 +1,21 @@
+{
+  "$schema": "https://ui.shadcn.com/schema.json",
+  "style": "new-york",
+  "rsc": false,
+  "tsx": true,
+  "tailwind": {
+    "config": "tailwind.config.ts",
+    "css": "styles/globals.css",
+    "baseColor": "neutral",
+    "cssVariables": true,
+    "prefix": ""
+  },
+  "aliases": {
+    "components": "@/components",
+    "types": "@/types",
+    "utils": "@/lib/utils",
+    "ui": "@/components/ui",
+    "lib": "@/lib",
+    "hooks": "@/hooks"
+  }
+}
diff --git a/templates/ycombinator_graphrag/web-app/components/Answer.tsx b/templates/ycombinator_graphrag/web-app/components/Answer.tsx
new file mode 100644
index 000000000..d5b6c5c7a
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components/Answer.tsx
@@ -0,0 +1,305 @@
+import React, { useState, useEffect } from 'react';
+import { FC } from 'react';
+import Markdown from 'react-markdown';
+
+import {
+  Popover,
+  PopoverContent,
+  PopoverTrigger,
+} from '@/components/ui/popover';
+import { Skeleton } from '@/components/ui/skeleton';
+import { Logo } from '@/components/Logo';
+import {
+  Accordion,
+  AccordionContent,
+  AccordionItem,
+  AccordionTrigger,
+} from '@/components/ui/accordion';
+import { SearchResults } from '@/components/SearchResults';
+import { KGSearchResult } from '@/types';
+
+interface Message {
+  role: 'system' | 'user' | 'assistant';
+  content: string;
+  id?: string;
+  timestamp?: number;
+  isStreaming?: boolean;
+  sources?: Record<string, string | null>;
+  searchPerformed?: boolean;
+}
+
+interface Source {
+  id: string;
+  score: number;
+  metadata: {
+    title?: string;
+    text?: string;
+    documentid?: string;
+    snippet?: string;
+  };
+}
+
+const AnimatedEllipsis: FC = () => {
+  const [dots, setDots] = useState('');
+
+  useEffect(() => {
+    const interval = setInterval(() => {
+      setDots((prevDots) => (prevDots.length >= 3 ? '' : prevDots + '.'));
+    }, 200);
+
+    return () => clearInterval(interval);
+  }, []);
+
+  return (
+    <span
+      style={{
+        color: 'black',
+        display: 'inline-block',
+        width: '1em',
+        height: '1em',
+        textAlign: 'left',
+      }}
+    >
+      {dots}
+    </span>
+  );
+};
+
+const SourceItem: FC<{ source: Source }> = ({ source }) => {
+  const { score, metadata } = source;
+
+  return (
+    <div className="bg-zinc-700 p-3 rounded-lg mb-2 w-full">
+      <h3 className="text-xs font-medium text-zinc-200 mb-1">
+        {metadata.title || 'Untitled'} (Similarity: {score.toFixed(3)})
+      </h3>
+      <p className="text-xs text-zinc-400">
+        {metadata.text || 'No content available'}
+      </p>
+    </div>
+  );
+};
+
+function formatMarkdownNewLines(markdown: string): string {
+  return markdown
+    .replace(/\[(\d+)]/g, '[$1]($1)')
+    .split(`"queries":`)[0]
+    .replace(/\\u[\dA-F]{4}/gi, (match: string) =>
+      String.fromCharCode(parseInt(match.replace(/\\u/g, ''), 16))
+    );
+}
+
+const parseVectorSearchSources = (sources: string | object): Source[] => {
+  if (typeof sources === 'string') {
+    try {
+      const cleanedSources = sources;
+      return JSON.parse(cleanedSources);
+    } catch (error) {
+      console.error('Failed to parse sources:', error);
+      return [];
+    }
+  }
+  return sources as Source[];
+};
+
+const parseKGSearchResult = (sources: string | object): KGSearchResult[] => {
+  if (typeof sources === 'string') {
+    try {
+      const cleanedSources = sources;
+      return JSON.parse(cleanedSources);
+    } catch (error) {
+      console.error('Failed to parse sources:', error);
+      return [];
+    }
+  }
+  return sources as KGSearchResult[];
+};
+
+interface KGSearchResultState {
+  entities: KGSearchResult[];
+  communities: KGSearchResult[];
+}
+
+export const Answer: FC<{
+  message: Message;
+  isStreaming: boolean;
+  isSearching: boolean;
+}> = ({ message, isStreaming, isSearching }) => {
+  const [isOpen, setIsOpen] = useState(false);
+  const [parsedVectorSources, setParsedVectorSources] = useState<Source[]>([]);
+  const [parsedEntities, setParsedEntities] = useState<KGSearchResult[]>([]);
+  const [parsedCommunities, setParsedCommunities] = useState<KGSearchResult[]>(
+    []
+  );
+  useEffect(() => {
+    if (message.sources.vector) {
+      const parsed = parseVectorSearchSources(message.sources.vector);
+      setParsedVectorSources(parsed);
+    }
+    if (message.sources.kg) {
+      console.log('message.sources.kg = ', message.sources.kg);
+      let kgLocalResult: KGSearchResult[] = JSON.parse(message.sources.kg);
+
+      const entitiesArray = kgLocalResult.filter(
+        (item: any) => item.result_type === 'entity'
+      );
+      const communitiesArray = kgLocalResult.filter(
+        (item: any) => item.result_type === 'community'
+      );
+      setParsedEntities(entitiesArray);
+      setParsedCommunities(communitiesArray);
+      // setParsedKGSearchResult(parsedKGSearchResult);
+      // debugger;
+    }
+  }, [message.sources]);
+
+  const renderContent = () => {
+    const paragraphs = message.content.split('\n\n');
+    return paragraphs.map((paragraph, index) => (
+      <Markdown
+        key={index}
+        components={{
+          h1: (props) => <h1 className="black" {...props} />,
+          h2: (props) => <h2 className="black" {...props} />,
+          h3: (props) => <h3 style={{ color: 'black' }} {...props} />,
+          h4: (props) => <h4 style={{ color: 'black' }} {...props} />,
+          h5: (props) => <h5 style={{ color: 'black' }} {...props} />,
+          h6: (props) => <h6 style={{ color: 'black' }} {...props} />,
+          strong: (props) => (
+            <strong style={{ color: 'black', fontWeight: 'bold' }} {...props} />
+          ),
+          p: ({ children }) => (
+            <p style={{ color: 'black', display: 'inline' }}>
+              {children}
+              {isStreaming && index === paragraphs.length - 1 && (
+                <AnimatedEllipsis />
+              )}
+            </p>
+          ),
+          li: (props) => <li style={{ color: 'black' }} {...props} />,
+          blockquote: (props) => (
+            <blockquote style={{ color: 'black' }} {...props} />
+          ),
+          em: (props) => <em style={{ color: 'black' }} {...props} />,
+          code: (props) => <code style={{ color: 'black' }} {...props} />,
+          pre: (props) => <pre style={{ color: 'black' }} {...props} />,
+          a: ({ href, ...props }) => {
+            if (!href) return null;
+            const source = parsedVectorSources[+href - 1];
+            if (!source) return null;
+            const metadata = source.metadata;
+            return (
+              <span className="inline-block w-4">
+                <Popover>
+                  <PopoverTrigger asChild>
+                    <span
+                      title={metadata?.title}
+                      className="inline-block cursor-pointer transform scale-[60%] no-underline font-medium w-6 text-center h-6 rounded-full origin-top-left"
+                      style={{ background: 'var(--background)' }}
+                    >
+                      {href}
+                    </span>
+                  </PopoverTrigger>
+                  <PopoverContent
+                    align="start"
+                    className="max-w-screen-md flex flex-col gap-2 bg-zinc-800 shadow-transparent ring-zinc-600 border-zinc-600 ring-4 text-xs"
+                  >
+                    <div className="text-zinc-200 text-ellipsis overflow-hidden whitespace-nowrap font-medium">
+                      {metadata.title ? `Title: ${metadata.title}` : ''}
+                      {metadata?.documentid
+                        ? `, DocumentId: ${metadata.documentid.slice(0, 8)}`
+                        : ''}
+                    </div>
+                    <div className="flex gap-4">
+                      <div className="flex-1">
+                        <div className="line-clamp-4 text-zinc-300 break-words">
+                          {metadata?.snippet ?? ''}
+                        </div>
+                        <div className="line-clamp-4 text-zinc-300 break-words">
+                          {source.text ?? ''}
+                        </div>
+                      </div>
+                    </div>
+                  </PopoverContent>
+                </Popover>
+              </span>
+            );
+          },
+        }}
+      >
+        {formatMarkdownNewLines(paragraph)}
+      </Markdown>
+    ));
+  };
+  return (
+    <div className="mt-4">
+      {parsedVectorSources.length > 0 || isSearching ? (
+        <Accordion
+          type="single"
+          collapsible
+          className="w-full"
+          onValueChange={(value) => setIsOpen(value === 'answer')}
+        >
+          <AccordionItem value="answer">
+            <AccordionTrigger className="py-2 text-lg font-bold text-zinc-200 hover:no-underline text-black">
+              <div className="flex items-center justify-between w-full">
+                <Logo width={50} height={50} disableLink={true} />
+                <span className="text-sm font-normal text-black">
+                  {isSearching ? (
+                    <span className="searching-animation">
+                      Searching over sources...
+                    </span>
+                  ) : (
+                    `View ${parsedVectorSources.length} Sources`
+                  )}
+                </span>
+              </div>
+            </AccordionTrigger>
+            <AccordionContent>
+              {!isSearching && (
+                <SearchResults
+                  vectorSearchResults={parsedVectorSources}
+                  entities={parsedEntities}
+                  communities={parsedCommunities}
+                />
+              )}
+            </AccordionContent>
+          </AccordionItem>
+        </Accordion>
+      ) : message.searchPerformed ? (
+        <div className="flex items-center justify-between py-2 text-sm text-zinc-400">
+          <Logo width={25} height={25} disableLink={true} />
+          <span>No sources found</span>
+        </div>
+      ) : null}
+
+      <div className="space-y-4 mt-4">
+        {message.content || isStreaming ? (
+          <div className="prose prose-sm max-w-full text-zinc-300 overflow-y-auto max-h-[700px] prose-headings:text-white prose-p:text-white prose-strong:text-white prose-code:text-white bg-zinc-200 p-4 rounded-lg">
+            {message.content ? (
+              renderContent()
+            ) : (
+              <div
+                style={{
+                  color: 'black',
+                  display: 'inline-block',
+                  width: '1em',
+                  height: '1em',
+                }}
+              >
+                <AnimatedEllipsis />
+              </div>
+            )}
+          </div>
+        ) : (
+          <div className="flex flex-col gap-2">
+            <Skeleton className="max-w-lg h-4 bg-zinc-200" />
+            <Skeleton className="max-w-2xl h-4 bg-zinc-200" />
+            <Skeleton className="max-w-lg h-4 bg-zinc-200" />
+            <Skeleton className="max-w-xl h-4 bg-zinc-200" />
+          </div>
+        )}
+      </div>
+    </div>
+  );
+};
diff --git a/templates/ycombinator_graphrag/web-app/components/ChatWindow.tsx b/templates/ycombinator_graphrag/web-app/components/ChatWindow.tsx
new file mode 100644
index 000000000..f9e481909
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components/ChatWindow.tsx
@@ -0,0 +1,303 @@
+import React, { FC, useEffect, useState, useRef, useCallback } from 'react';
+import { Alert, AlertDescription, AlertTitle } from '@/components/ui/alert';
+import { Info, X } from 'lucide-react';
+
+import MessageBubble from '@/components/MessageBubble';
+import { Answer } from '@/components/Answer';
+import { DefaultQueries } from '@/components/DefaultQueries';
+
+const FUNCTION_START_TOKEN = '<function_call>';
+const FUNCTION_END_TOKEN = '</function_call>';
+const LLM_START_TOKEN = '<completion>';
+const LLM_END_TOKEN = '</completion>';
+
+interface Message {
+  role: 'system' | 'user' | 'assistant';
+  content: string;
+  id: string;
+  timestamp: number;
+  isStreaming?: boolean;
+  sources?: Record<string, string | null>;
+  searchPerformed?: boolean;
+}
+
+interface ChatWindowProps {
+  query: string;
+  setQuery: (query: string) => void;
+  agentUrl: string;
+  messages: Message[];
+  setMessages: React.Dispatch<React.SetStateAction<Message[]>>;
+  isStreaming: boolean;
+  setIsStreaming: React.Dispatch<React.SetStateAction<boolean>>;
+}
+
+export const ChatWindow: FC<ChatWindowProps> = ({
+  query,
+  setQuery,
+  agentUrl,
+  messages,
+  setMessages,
+  isStreaming,
+  setIsStreaming,
+}) => {
+  const [isSearching, setIsSearching] = useState(false);
+  const [error, setError] = useState<string | null>(null);
+  const messagesEndRef = useRef<HTMLDivElement>(null);
+  const [showInfoAlert, setShowInfoAlert] = useState(true);
+
+  const scrollToBottom = useCallback(() => {
+    messagesEndRef.current?.scrollIntoView({ behavior: 'smooth' });
+  }, []);
+
+  useEffect(() => {
+    if (messages.length > 0) {
+      scrollToBottom();
+    }
+  }, [messages, scrollToBottom]);
+
+  const updateLastMessage = useCallback(
+    (
+      content?: string,
+      sources?: Record<string, string | null>,
+      isStreaming?: boolean,
+      searchPerformed?: boolean
+    ) => {
+      setMessages((prevMessages) => {
+        const updatedMessages = [...prevMessages];
+        const lastMessage = updatedMessages[updatedMessages.length - 1];
+        if (lastMessage.role === 'assistant') {
+          return [
+            ...updatedMessages.slice(0, -1),
+            {
+              ...lastMessage,
+              ...(content !== undefined && { content }),
+              ...(sources !== undefined && { sources }),
+              ...(isStreaming !== undefined && { isStreaming }),
+              ...(searchPerformed !== undefined && { searchPerformed }),
+            },
+          ];
+        }
+        return prevMessages;
+      });
+    },
+    [setMessages]
+  );
+
+  useEffect(() => {
+    if (!query || isStreaming) {
+      return;
+    }
+
+    setShowInfoAlert(false);
+
+    const parseStreaming = async () => {
+      setIsStreaming(true);
+      setIsSearching(true);
+      setError(null);
+
+      const newUserMessage: Message = {
+        role: 'user',
+        content: query,
+        id: Date.now().toString(),
+        timestamp: Date.now(),
+        sources: {},
+      };
+
+      const newAssistantMessage: Message = {
+        role: 'assistant',
+        content: '',
+        id: (Date.now() + 1).toString(),
+        timestamp: Date.now() + 1,
+        isStreaming: true,
+        sources: {},
+        searchPerformed: false,
+      };
+
+      setMessages((prevMessages) => [
+        ...prevMessages,
+        newUserMessage,
+        newAssistantMessage,
+      ]);
+
+      let buffer = '';
+      let inLLMResponse = false;
+      let fullContent = '';
+
+      try {
+        const response = await fetch('/api/agent', {
+          method: 'POST',
+          headers: { 'Content-Type': 'application/json' },
+          body: JSON.stringify({
+            messages: [...messages, newUserMessage],
+            apiUrl: agentUrl,
+            use_vector_search: true,
+            search_filters: {},
+            search_limit: 20,
+            do_hybrid_search: false,
+            use_kg_search: true,
+            rag_generation_config: {
+              stream: true,
+            },
+          }),
+        });
+
+        const reader = response.body!.getReader();
+        const decoder = new TextDecoder();
+
+        while (true) {
+          const { done, value } = await reader.read();
+          if (done) {
+            break;
+          }
+
+          buffer += decoder.decode(value, { stream: true });
+
+          if (buffer.includes(FUNCTION_END_TOKEN)) {
+            const [results, rest] = buffer.split(FUNCTION_END_TOKEN);
+
+            console.log('results = ', results);
+            const vectorSearchSources = results.includes('<search>')
+              ? results.split('<search>')[1].split('</search>')[0]
+              : null;
+
+            const kgSearchResult = results.includes('<kg_search>')
+              ? results.split('<kg_search>')[1].split('</kg_search>')[0]
+              : null;
+
+            updateLastMessage(
+              undefined,
+              { vector: vectorSearchSources, kg: kgSearchResult },
+              undefined,
+              true
+            );
+            buffer = rest || '';
+            setIsSearching(false);
+          }
+
+          if (buffer.includes(LLM_START_TOKEN)) {
+            inLLMResponse = true;
+            buffer = buffer.split(LLM_START_TOKEN)[1] || '';
+          }
+
+          if (inLLMResponse) {
+            const endTokenIndex = buffer.indexOf(LLM_END_TOKEN);
+            let chunk = '';
+
+            if (endTokenIndex !== -1) {
+              chunk = buffer.slice(0, endTokenIndex);
+              buffer = buffer.slice(endTokenIndex + LLM_END_TOKEN.length);
+              inLLMResponse = false;
+            } else {
+              chunk = buffer;
+              buffer = '';
+            }
+
+            fullContent += chunk;
+            updateLastMessage(fullContent, undefined, true);
+          }
+        }
+      } catch (err: unknown) {
+        console.error('Error in streaming:', err);
+        setError(err instanceof Error ? err.message : String(err));
+      } finally {
+        setIsStreaming(false);
+        setIsSearching(false);
+        updateLastMessage(fullContent, undefined, false);
+        setQuery('');
+      }
+    };
+
+    parseStreaming();
+  }, [
+    query,
+    agentUrl,
+    setMessages,
+    setIsStreaming,
+    messages,
+    updateLastMessage,
+    isStreaming,
+    setQuery,
+  ]);
+
+  return (
+    <div className="flex flex-col h-full">
+      {/* Info Alert */}
+      {showInfoAlert && (
+        <Alert className="flex flex-col items-start p-4 col-span-full relative border border-gray-300 rounded-lg shadow-lg mb-4">
+          <div className="flex items-center mb-2">
+            <Info className="h-6 w-6 text-blue-500 mr-2" />
+            <AlertTitle className="text-lg font-semibold mt-2">
+              Powered by R2R&apos;s GraphRAG —
+              <a
+                href="https://r2r-docs.sciphi.ai/cookbooks/graphrag"
+                target="_blank"
+                rel="noopener noreferrer"
+                className="text-blue-500"
+              >
+                Learn how to implement your own GraphRAG here!
+              </a>
+            </AlertTitle>
+          </div>
+          <AlertDescription className="text-sm text-left mb-2">
+            GraphRAG excels at answering complex questions that other methods of
+            search struggle with. By developing deep understanding of complex
+            datasets and their relationships, GraphRAG can provide more accurate
+            and informative answers to your users.
+            <br /> <br />
+            Learn more about GraphRAG from &nbsp;
+            <a
+              href="https://microsoft.github.io/graphrag/"
+              target="_blank"
+              rel="noopener noreferrer"
+              className="text-blue-500"
+            >
+              Microsoft&apos;s research
+            </a>
+            &nbsp; or from our blog post on &nbsp;
+            <a
+              href="https://www.sciphi.ai/blog/graphrag"
+              target="_blank"
+              rel="noopener noreferrer"
+              className="text-blue-500"
+            >
+              production ready GrapRAG
+            </a>
+            <br /> <br />
+            Here, we&apos;ve connected to am R2R server and built a knowledge
+            graph over the profiles of the YC S24 companies. Feel free to ask
+            any questions you have about the companies, their founders, or
+            anything else you&apos;d like to know!
+          </AlertDescription>
+          <button
+            className="absolute top-2 right-2 text-gray-400 hover:text-gray-600 focus:outline-none focus:ring-2 focus:ring-offset-2 focus:ring-gray-500 rounded-full"
+            onClick={() => setShowInfoAlert(false)}
+          >
+            <X className="h-4 w-4" />
+          </button>
+        </Alert>
+      )}
+
+      {/* Chat Messages */}
+      <div className="flex-grow overflow-auto">
+        <div className="flex flex-col space-y-8 mb-4">
+          {messages.map((message, index) => (
+            <React.Fragment key={message.id}>
+              {message.role === 'user' ? (
+                <MessageBubble message={message} />
+              ) : (
+                <Answer
+                  message={message}
+                  isStreaming={message.isStreaming || false}
+                  isSearching={index === messages.length - 1 && isSearching}
+                />
+              )}
+            </React.Fragment>
+          ))}
+          <div ref={messagesEndRef} />
+        </div>
+        {error && <div className="text-red-500">Error: {error}</div>}
+        {messages.length === 0 && <DefaultQueries setQuery={setQuery} />}
+      </div>
+    </div>
+  );
+};
diff --git a/templates/ycombinator_graphrag/web-app/components/DefaultQueries.tsx b/templates/ycombinator_graphrag/web-app/components/DefaultQueries.tsx
new file mode 100644
index 000000000..3abf4b94c
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components/DefaultQueries.tsx
@@ -0,0 +1,53 @@
+import { Lightbulb, FlaskConical, Flame, Earth } from 'lucide-react';
+import { FC } from 'react';
+
+import { Logo } from '@/components/Logo';
+import { Alert, AlertDescription } from '@/components/ui/alert';
+
+interface DefaultQueriesProps {
+  setQuery: (query: string) => void;
+}
+
+export const DefaultQueries: FC<DefaultQueriesProps> = ({ setQuery }) => {
+  const defaultQueries = [
+    {
+      query: 'What does the company Decisional AI do?',
+      icon: <Lightbulb className="h-6 w-6 text-yellow-400" />,
+    },
+    {
+      query:
+        'Which companies will most likely succeed and which ones will fail?',
+      icon: <FlaskConical className="h-6 w-6 text-purple-400" />,
+    },
+    {
+      query: 'Which companies are NOT building AI agents?',
+      icon: <Flame className="h-6 w-6 text-red-400" />,
+    },
+    {
+      query: "How can I get in touch with R2R's founders?",
+      icon: <Earth className="h-6 w-6 text-green-400" />,
+    },
+  ];
+
+  return (
+    <div className="flex flex-col items-center justify-center h-full space-y-8">
+      <Logo width={200} height={200} disableLink={true} />
+      <div className="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-4 gap-4 w-full max-w-6xl px-4">
+        {defaultQueries.map(({ query, icon }, index) => (
+          <Alert
+            key={index}
+            className={`cursor-pointer hover:bg-zinc-200 flex flex-col items-start p-3 h-[100px] ${
+              index >= 2 ? 'hidden sm:flex' : ''
+            }`}
+            onClick={() => setQuery(query)}
+          >
+            <div className="mb-2">{icon}</div>
+            <AlertDescription className="text-sm text-left">
+              {query}
+            </AlertDescription>
+          </Alert>
+        ))}
+      </div>
+    </div>
+  );
+};
diff --git a/templates/ycombinator_graphrag/web-app/components/DocumentCard.tsx b/templates/ycombinator_graphrag/web-app/components/DocumentCard.tsx
new file mode 100644
index 000000000..bf5df15f5
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components/DocumentCard.tsx
@@ -0,0 +1,59 @@
+import React, { useState } from 'react';
+import Modal from './Modal';
+
+interface Document {
+  id: number;
+  name: string;
+  type: string;
+  url: string;
+}
+
+interface DocumentCardProps {
+  document: Document;
+}
+
+const DocumentCard: React.FC<DocumentCardProps> = ({ document }) => {
+  const [isPreviewOpen, setIsPreviewOpen] = useState(false);
+
+  const renderPreview = () => {
+    switch (document.type) {
+      case 'pdf':
+      case 'txt':
+      case 'md':
+      case 'html':
+        return <iframe src={document.url} className="w-full h-full border-0" />;
+      default:
+        return <p>Preview not available for this file type.</p>;
+    }
+  };
+
+  return (
+    <>
+      <div className="border border-muted rounded-lg p-4 bg-background text-foreground h-full flex flex-col">
+        <div className="flex-grow">
+          <h3 className="text-lg font-semibold mb-2 line-clamp-3">
+            {document.name}
+          </h3>
+          <p className="text-sm text-muted-foreground mb-4">
+            Type: {document.type}
+          </p>
+        </div>
+        <button
+          onClick={() => setIsPreviewOpen(true)}
+          className="bg-primary text-primary-foreground px-4 py-2 rounded-full hover:bg-primary/90 focus:outline-none focus:ring-2 focus:ring-primary transition-colors duration-200 w-full mt-auto"
+        >
+          Preview
+        </button>
+      </div>
+
+      <Modal isOpen={isPreviewOpen} onClose={() => setIsPreviewOpen(false)}>
+        <h2 className="text-2xl font-bold mb-4 text-foreground">
+          {document.name}
+        </h2>
+        <div className="h-[calc(100%-4rem)]">{renderPreview()}</div>
+      </Modal>
+    </>
+  );
+};
+
+export default DocumentCard;
diff --git a/templates/ycombinator_graphrag/web-app/components/Footer.tsx b/templates/ycombinator_graphrag/web-app/components/Footer.tsx
new file mode 100644
index 000000000..4799052e3
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components/Footer.tsx
@@ -0,0 +1,78 @@
+'use client';
+
+import Link from 'next/link';
+
+function XIcon(props: React.ComponentPropsWithoutRef<'svg'>) {
+  return (
+    <svg viewBox="0 0 20 20" aria-hidden="true" {...props}>
+      <path d="M11.1527 8.92804L16.2525 3H15.044L10.6159 8.14724L7.07919 3H3L8.34821 10.7835L3 17H4.20855L8.88474 11.5643L12.6198 17H16.699L11.1524 8.92804H11.1527ZM9.49748 10.8521L8.95559 10.077L4.644 3.90978H6.50026L9.97976 8.88696L10.5216 9.66202L15.0446 16.1316H13.1883L9.49748 10.8524V10.8521Z" />
+    </svg>
+  );
+}
+
+function GitHubIcon(props: React.ComponentPropsWithoutRef<'svg'>) {
+  return (
+    <svg viewBox="0 0 20 20" aria-hidden="true" {...props}>
+      <path
+        fillRule="evenodd"
+        clipRule="evenodd"
+        d="M10 1.667c-4.605 0-8.334 3.823-8.334 8.544 0 3.78 2.385 6.974 5.698 8.106.417.075.573-.182.573-.406 0-.203-.011-.875-.011-1.592-2.093.397-2.635-.522-2.802-1.002-.094-.246-.5-1.005-.854-1.207-.291-.16-.708-.556-.01-.567.656-.01 1.124.62 1.281.876.75 1.292 1.948.93 2.427.705.073-.555.291-.93.531-1.143-1.854-.213-3.791-.95-3.791-4.218 0-.929.322-1.698.854-2.296-.083-.214-.375-1.09.083-2.265 0 0 .698-.224 2.292.876a7.576 7.576 0 0 1 2.083-.288c.709 0 1.417.096 2.084.288 1.593-1.11 2.291-.875 2.291-.875.459 1.174.167 2.05.084 2.263.53.599.854 1.357.854 2.297 0 3.278-1.948 4.005-3.802 4.219.302.266.563.78.563 1.58 0 1.143-.011 2.061-.011 2.35 0 .224.156.491.573.405a8.365 8.365 0 0 0 4.11-3.116 8.707 8.707 0 0 0 1.567-4.99c0-4.721-3.73-8.545-8.334-8.545Z"
+      />
+    </svg>
+  );
+}
+
+function DiscordIcon(props: React.ComponentPropsWithoutRef<'svg'>) {
+  return (
+    <svg viewBox="0 0 20 20" aria-hidden="true" {...props}>
+      <path d="M16.238 4.515a14.842 14.842 0 0 0-3.664-1.136.055.055 0 0 0-.059.027 10.35 10.35 0 0 0-.456.938 13.702 13.702 0 0 0-4.115 0 9.479 9.479 0 0 0-.464-.938.058.058 0 0 0-.058-.027c-1.266.218-2.497.6-3.664 1.136a.052.052 0 0 0-.024.02C1.4 8.023.76 11.424 1.074 14.782a.062.062 0 0 0 .024.042 14.923 14.923 0 0 0 4.494 2.272.058.058 0 0 0 .064-.02c.346-.473.654-.972.92-1.496a.057.057 0 0 0-.032-.08 9.83 9.83 0 0 1-1.404-.669.058.058 0 0 1-.029-.046.058.058 0 0 1 .023-.05c.094-.07.189-.144.279-.218a.056.056 0 0 1 .058-.008c2.946 1.345 6.135 1.345 9.046 0a.056.056 0 0 1 .059.007c.09.074.184.149.28.22a.058.058 0 0 1 .023.049.059.059 0 0 1-.028.046 9.224 9.224 0 0 1-1.405.669.058.058 0 0 0-.033.033.056.056 0 0 0 .002.047c.27.523.58 1.022.92 1.495a.056.056 0 0 0 .062.021 14.878 14.878 0 0 0 4.502-2.272.055.055 0 0 0 .016-.018.056.056 0 0 0 .008-.023c.375-3.883-.63-7.256-2.662-10.246a.046.046 0 0 0-.023-.021Zm-9.223 8.221c-.887 0-1.618-.814-1.618-1.814s.717-1.814 1.618-1.814c.908 0 1.632.821 1.618 1.814 0 1-.717 1.814-1.618 1.814Zm5.981 0c-.887 0-1.618-.814-1.618-1.814s.717-1.814 1.618-1.814c.908 0 1.632.821 1.618 1.814 0 1-.71 1.814-1.618 1.814Z" />
+    </svg>
+  );
+}
+
+function SocialLink({
+  href,
+  icon: Icon,
+  children,
+}: {
+  href: string;
+  icon: React.ComponentType<{ className?: string }>;
+  children: React.ReactNode;
+}) {
+  return (
+    <Link href={href} className="social-link">
+      <span className="sr-only">{children}</span>
+      <Icon className="social-icon" />
+    </Link>
+  );
+}
+
+function SmallPrint() {
+  return (
+    <div className="small-print">
+      <p className="copyright">
+        &copy; Copyright {new Date().getFullYear()}. EmergentAGI Inc. All rights
+        reserved.
+      </p>
+      <div className="social-links">
+        <SocialLink href="https://twitter.com/ocolegro?lang=en" icon={XIcon}>
+          Follow us on X
+        </SocialLink>
+        <SocialLink href="https://github.com/SciPhi-AI/R2R" icon={GitHubIcon}>
+          Follow us on GitHub
+        </SocialLink>
+        <SocialLink href="https://discord.gg/p6KqD2kjtB" icon={DiscordIcon}>
+          Join our Discord server
+        </SocialLink>
+      </div>
+    </div>
+  );
+}
+
+export function Footer() {
+  return (
+    <footer className="footer">
+      <SmallPrint />
+    </footer>
+  );
+}
diff --git a/templates/ycombinator_graphrag/web-app/components/Header.tsx b/templates/ycombinator_graphrag/web-app/components/Header.tsx
new file mode 100644
index 000000000..251ea424a
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components/Header.tsx
@@ -0,0 +1,77 @@
+import React, { useState } from 'react';
+import { Logo } from '@/components/Logo';
+import Link from 'next/link';
+import Modal from '@/components/Modal';
+import DocumentCard from '@/components/DocumentCard';
+
+interface HeaderProps {
+  onLogoClick: () => void;
+}
+
+const Header: React.FC<HeaderProps> = ({ onLogoClick }) => {
+  const [isModalOpen, setIsModalOpen] = useState(false);
+  const [isMobileMenuOpen, setIsMobileMenuOpen] = useState(false);
+
+  return (
+    <>
+      <header className="fixed top-0 left-0 right-0 h-16 bg-header border-b border-header-border flex items-center justify-between px-4 z-10">
+        <div className="flex items-center">
+          <Logo width={75} height={75} onClick={onLogoClick} />
+          <Link href="/" passHref>
+            <h1
+              className="ml-2 text-2xl font-semibold text-header-text cursor-pointer"
+              onClick={onLogoClick}
+            >
+              SciPhi - YC S24 GraphRAG Agent
+            </h1>
+          </Link>
+        </div>
+        <div className="hidden md:flex items-center space-x-2"></div>
+        <div className="md:hidden">
+          <button
+            onClick={() => setIsMobileMenuOpen(!isMobileMenuOpen)}
+            className="text-header-text focus:outline-none"
+          >
+            <svg
+              className="h-6 w-6"
+              fill="none"
+              viewBox="0 0 24 24"
+              stroke="currentColor"
+            >
+              <path
+                strokeLinecap="round"
+                strokeLinejoin="round"
+                strokeWidth={2}
+                d="M4 6h16M4 12h16M4 18h16"
+              />
+            </svg>
+          </button>
+        </div>
+      </header>
+
+      {/* Mobile menu */}
+      {isMobileMenuOpen && (
+        <div className="md:hidden fixed top-16 left-0 right-0 bg-header border-b border-header-border p-4 z-20">
+          <button className="w-full mb-4 px-4 py-2 bg-primary text-primary-foreground rounded-full hover:bg-primary/90 focus:outline-none focus:ring-2 focus:ring-primary transition-colors duration-200">
+            <a
+              href="https://sciphi.ai"
+              target="_blank"
+              rel="noopener noreferrer"
+              className="mr-4 px-4 py-2 bg-primary text-primary-foreground rounded-full hover:bg-primary/90 focus:outline-none focus:ring-2 focus:ring-primary transition-colors duration-200"
+            >
+              Deploy It
+            </a>
+          </button>
+          <button
+            onClick={() => setIsModalOpen(true)}
+            className="w-full mb-4 px-4 py-2 bg-primary text-primary-foreground rounded-full hover:bg-primary/90 focus:outline-none focus:ring-2 focus:ring-primary transition-colors duration-200"
+          >
+            Sample Docs
+          </button>
+        </div>
+      )}
+    </>
+  );
+};
+
+export default Header;
diff --git a/templates/ycombinator_graphrag/web-app/components/Logo.tsx b/templates/ycombinator_graphrag/web-app/components/Logo.tsx
new file mode 100644
index 000000000..644219db3
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components/Logo.tsx
@@ -0,0 +1,57 @@
+import Image from 'next/image';
+import Link from 'next/link';
+import React from 'react';
+
+interface LogoProps {
+  width?: number;
+  height?: number;
+  className?: string;
+  onClick?: (e: React.MouseEvent) => void;
+  disableLink?: boolean;
+  priority?: boolean;
+}
+
+export function Logo({
+  width = 50,
+  height = 50,
+  className = '',
+  onClick,
+  disableLink = false,
+  priority = true,
+  ...rest
+}: LogoProps) {
+  const handleClick = (e: React.MouseEvent<HTMLElement, MouseEvent>) => {
+    if (onClick) {
+      e.preventDefault();
+      onClick(e);
+    }
+  };
+
+  const imageElement = (
+    <Image
+      alt="SciPhi Logo"
+      src="/sciphi.svg"
+      width={width}
+      height={height}
+      priority={priority}
+      {...rest}
+    />
+  );
+
+  const combinedClassName =
+    `${className} ${disableLink ? 'cursor-default' : 'cursor-pointer'}`.trim();
+
+  if (disableLink) {
+    return (
+      <div className={combinedClassName} onClick={handleClick}>
+        {imageElement}
+      </div>
+    );
+  }
+
+  return (
+    <Link href="/" passHref className={combinedClassName} onClick={handleClick}>
+      {imageElement}
+    </Link>
+  );
+}
diff --git a/templates/ycombinator_graphrag/web-app/components/MessageBubble.tsx b/templates/ycombinator_graphrag/web-app/components/MessageBubble.tsx
new file mode 100644
index 000000000..42110c602
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components/MessageBubble.tsx
@@ -0,0 +1,44 @@
+import React from 'react';
+
+interface Message {
+  role: 'system' | 'user' | 'assistant';
+  content: string;
+  id?: string;
+  timestamp?: number;
+  isStreaming?: boolean;
+  sources?: Record<string, string | null>;
+  searchPerformed?: boolean;
+}
+
+const MessageBubble: React.FC<{ message: Message; isStreaming?: boolean }> = ({
+  message,
+  isStreaming,
+}) => {
+  if (message.role === 'user') {
+    return (
+      <div className="flex justify-end mb-4">
+        <div className="bg-zinc-500 text-white rounded-lg p-3 max-w-xs lg:max-w-md">
+          <p>{message.content}</p>
+        </div>
+      </div>
+    );
+  } else if (message.role === 'assistant') {
+    return (
+      <div className="flex justify-start mb-4">
+        <div
+          className={`bg-gray-200 rounded-lg p-3 max-w-xs lg:max-w-md ${message.isStreaming ? 'animate-pulse' : ''}`}
+        >
+          <p>
+            {message.content}
+            {message.isStreaming && (
+              <span className="inline-block animate-pulse">▋</span>
+            )}
+          </p>
+        </div>
+      </div>
+    );
+  }
+  return null;
+};
+
+export default MessageBubble;
diff --git a/templates/ycombinator_graphrag/web-app/components/Modal.tsx b/templates/ycombinator_graphrag/web-app/components/Modal.tsx
new file mode 100644
index 000000000..5df825808
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components/Modal.tsx
@@ -0,0 +1,32 @@
+import React from 'react';
+
+interface ModalProps {
+  isOpen: boolean;
+  onClose: () => void;
+  children: React.ReactNode;
+}
+
+const Modal: React.FC<ModalProps> = ({ isOpen, onClose, children }) => {
+  if (!isOpen) {
+    return null;
+  }
+
+  return (
+    <div
+      className="fixed inset-0 bg-black bg-opacity-50 z-50 flex justify-center items-center p-4"
+      onClick={onClose}
+    >
+      <div
+        className="bg-background text-foreground rounded-lg p-6 w-full max-w-6xl h-[90vh] flex flex-col"
+        onClick={(e) => e.stopPropagation()}
+      >
+        <button onClick={onClose} className="self-end text-2xl text-foreground">
+          &times;
+        </button>
+        <div className="flex-grow overflow-auto">{children}</div>
+      </div>
+    </div>
+  );
+};
+
+export default Modal;
diff --git a/templates/ycombinator_graphrag/web-app/components/Search.tsx b/templates/ycombinator_graphrag/web-app/components/Search.tsx
new file mode 100644
index 000000000..dc3ce857b
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components/Search.tsx
@@ -0,0 +1,77 @@
+import { ArrowRight, Trash2 } from 'lucide-react';
+import React, { FC, useState, useEffect } from 'react';
+
+interface SearchProps {
+  setQuery: (query: string) => void;
+  placeholder?: string;
+  onClear: () => void;
+  isStreaming: boolean;
+}
+
+export const Search: FC<SearchProps> = ({
+  setQuery,
+  placeholder = 'Start a conversation...',
+  onClear,
+  isStreaming,
+}) => {
+  const [value, setValue] = useState('');
+
+  const handleSubmit = (e: React.FormEvent<HTMLFormElement>) => {
+    e.preventDefault();
+    if (value.trim() && !isStreaming) {
+      setQuery(value.trim());
+      setValue('');
+    }
+  };
+
+  return (
+    <form onSubmit={handleSubmit} className="w-full">
+      <div className="relative flex items-center rounded-full overflow-hidden">
+        <button
+          type="button"
+          onClick={onClear}
+          className={`px-3 py-2 h-10 bg-input text-foreground rounded-l-full hover:bg-input/90 focus:outline-none focus:ring-2 focus:ring-primary transition-colors duration-200 outline-none ${
+            isStreaming
+              ? 'opacity-50 cursor-not-allowed'
+              : 'hover:bg-primary/90 focus:outline-none focus:ring-2 focus:ring-primary'
+          }`}
+          disabled={isStreaming}
+        >
+          <Trash2 size={20} />
+        </button>
+        <input
+          id="search-bar"
+          value={value}
+          onChange={(e: React.ChangeEvent<HTMLInputElement>) =>
+            setValue(e.target.value)
+          }
+          autoFocus
+          placeholder={placeholder}
+          className="w-full px-4 py-2 h-10 bg-input text-foreground focus:outline-none focus:ring-2 focus:ring-primary outline-none"
+        />
+        <style jsx>{`
+          input:-webkit-autofill,
+          input:-webkit-autofill:hover,
+          input:-webkit-autofill:focus,
+          input:-webkit-autofill:active {
+            -webkit-background-clip: text;
+            -webkit-text-fill-color: var(--foreground) !important;
+            transition: background-color 5000s ease-in-out 0s;
+            box-shadow: inset 0 0 20px 20px var(--input-background-color);
+          }
+        `}</style>
+        <button
+          type="submit"
+          className={`px-4 py-2 h-10 bg-primary text-primary-foreground rounded-r-full transition-colors duration-200 outline-none ${
+            isStreaming
+              ? 'opacity-50 cursor-not-allowed'
+              : 'hover:bg-primary/90 focus:outline-none focus:ring-2 focus:ring-primary'
+          }`}
+          disabled={isStreaming}
+        >
+          <ArrowRight size={20} color="black" />
+        </button>
+      </div>
+    </form>
+  );
+};
diff --git a/templates/ycombinator_graphrag/web-app/components/SearchResults.tsx b/templates/ycombinator_graphrag/web-app/components/SearchResults.tsx
new file mode 100644
index 000000000..dcf42bde7
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components/SearchResults.tsx
@@ -0,0 +1,144 @@
+import React, { FC, useState } from 'react';
+import { Card, CardContent } from '@/components/ui/card';
+import {
+  Carousel,
+  CarouselContent,
+  CarouselItem,
+  CarouselNext,
+  CarouselPrevious,
+} from '@/components/ui/carousel';
+import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
+import { VectorSearchResult, KGSearchResult } from '@/types';
+
+const VectorSearchResultItem: FC<{
+  source: VectorSearchResult;
+  index: number;
+  onOpenPdfPreview: (documentId: string, page?: number) => void;
+}> = ({ source, index, onOpenPdfPreview }) => {
+  const { document_id, metadata, text, score, fragment_id } = source;
+
+  return (
+    <div className="p-4 mb-2 flex items-center w-full">
+      <div className="flex-grow mr-4">
+        <div className="flex items-center mb-1">
+          <h3 className="text-sm font-medium mr-2 overflow-hidden overflow-ellipsis">
+            [{index}] {metadata.title}
+          </h3>
+          <div className="flex-grow"></div>
+          <span className="text-xs ml-2 whitespace-nowrap text-zinc-500">
+            Similarity Score: {score.toFixed(3)}
+          </span>
+        </div>
+
+        <p className="text-xs text-wrap break-words">{text}</p>
+        <p className="text-xs pt-4 text-zinc-500">
+          Document ID: {document_id}
+          <br />
+          Fragment ID: {fragment_id}
+        </p>
+      </div>
+    </div>
+  );
+};
+
+const KGSearchResultItem: FC<{ entity: KGSearchResult; index: number }> = ({
+  entity,
+  index,
+}) => {
+  const { content } = entity;
+
+  return (
+    <div className="p-4 mb-2 flex items-center w-full">
+      <div className="flex-grow mr-4">
+        <div className="flex items-center mb-1">
+          <h3 className="text-sm font-medium mr-2 overflow-hidden overflow-ellipsis">
+            [{index}] {content.name}
+          </h3>
+        </div>
+
+        <p className="text-xs text-wrap break-words">{content.description}</p>
+      </div>
+    </div>
+  );
+};
+
+interface SearchResultsProps {
+  vectorSearchResults: VectorSearchResult[];
+  entities: KGSearchResult[];
+  communities: KGSearchResult[];
+}
+
+const ResultCarousel: FC<{ items: any[]; ItemComponent: FC<any> }> = ({
+  items,
+  ItemComponent,
+}) => (
+  <Carousel>
+    <CarouselContent>
+      {items.map((item, index) => (
+        <CarouselItem key={index}>
+          <Card className="h-48 overflow-y-auto">
+            <CardContent>
+              <ItemComponent {...item} index={index + 1} />
+            </CardContent>
+          </Card>
+        </CarouselItem>
+      ))}
+    </CarouselContent>
+    <CarouselPrevious />
+    <CarouselNext />
+  </Carousel>
+);
+
+export const SearchResults: React.FC<SearchResultsProps> = ({
+  vectorSearchResults,
+  entities,
+  communities,
+}) => {
+  const [pdfPreviewOpen, setPdfPreviewOpen] = useState(false);
+  const [initialPage, setInitialPage] = useState<number>(1);
+  const [pdfPreviewDocumentId, setPdfPreviewDocumentId] = useState<
+    string | null
+  >(null);
+
+  const openPdfPreview = (documentId: string, page?: number) => {
+    setPdfPreviewDocumentId(documentId);
+    setInitialPage(page && page > 0 ? page : 1);
+    setPdfPreviewOpen(true);
+  };
+
+  return (
+    <div className="flex justify-center text-zinc-200 rounded-lg">
+      <Tabs
+        defaultValue="vectorSearch"
+        className="text-zinc-900 w-full max-w-2xl"
+      >
+        <TabsList>
+          <TabsTrigger value="vectorSearch">Vector Search</TabsTrigger>
+          <TabsTrigger value="kgEntities">KG Entities</TabsTrigger>
+          <TabsTrigger value="kgCommunities">KG Communities</TabsTrigger>
+        </TabsList>
+        <TabsContent value="vectorSearch">
+          <ResultCarousel
+            items={vectorSearchResults.map((source) => ({
+              source,
+              onOpenPdfPreview: openPdfPreview,
+            }))}
+            ItemComponent={VectorSearchResultItem}
+          />
+        </TabsContent>
+        <TabsContent value="kgEntities">
+          <ResultCarousel
+            items={entities.map((entity) => ({ entity }))}
+            ItemComponent={KGSearchResultItem}
+          />
+        </TabsContent>
+        <TabsContent value="kgCommunities">
+          <ResultCarousel
+            items={communities.map((entity) => ({ entity }))}
+            ItemComponent={KGSearchResultItem}
+          />
+        </TabsContent>
+      </Tabs>
+    </div>
+  );
+};
diff --git a/templates/ycombinator_graphrag/web-app/components/ui/accordion.tsx b/templates/ycombinator_graphrag/web-app/components/ui/accordion.tsx
new file mode 100644
index 000000000..fc14ade39
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components/ui/accordion.tsx
@@ -0,0 +1,56 @@
+import * as AccordionPrimitive from '@radix-ui/react-accordion';
+import { ChevronDown } from 'lucide-react';
+import * as React from 'react';
+
+import { cn } from '@/lib/cn';
+
+const Accordion = AccordionPrimitive.Root;
+
+const AccordionItem = React.forwardRef<
+  React.ElementRef<typeof AccordionPrimitive.Item>,
+  React.ComponentPropsWithoutRef<typeof AccordionPrimitive.Item>
+>(({ className, ...props }, ref) => (
+  <AccordionPrimitive.Item
+    ref={ref}
+    className={cn('border-b', className)}
+    {...props}
+  />
+));
+AccordionItem.displayName = 'AccordionItem';
+
+const AccordionTrigger = React.forwardRef<
+  React.ElementRef<typeof AccordionPrimitive.Trigger>,
+  React.ComponentPropsWithoutRef<typeof AccordionPrimitive.Trigger>
+>(({ className, children, ...props }, ref) => (
+  <AccordionPrimitive.Header className="flex">
+    <AccordionPrimitive.Trigger
+      ref={ref}
+      className={cn(
+        'flex flex-1 items-center justify-between py-4 font-medium transition-all hover:underline [&[data-state=open]>svg]:rotate-180',
+        className
+      )}
+      {...props}
+    >
+      {children}
+      <ChevronDown className="h-4 w-4 shrink-0 transition-transform duration-200" />
+    </AccordionPrimitive.Trigger>
+  </AccordionPrimitive.Header>
+));
+AccordionTrigger.displayName = AccordionPrimitive.Trigger.displayName;
+
+const AccordionContent = React.forwardRef<
+  React.ElementRef<typeof AccordionPrimitive.Content>,
+  React.ComponentPropsWithoutRef<typeof AccordionPrimitive.Content>
+>(({ className, children, ...props }, ref) => (
+  <AccordionPrimitive.Content
+    ref={ref}
+    className="overflow-hidden text-sm transition-all data-[state=closed]:animate-accordion-up data-[state=open]:animate-accordion-down"
+    {...props}
+  >
+    <div className={cn('pb-4 pt-0', className)}>{children}</div>
+  </AccordionPrimitive.Content>
+));
+
+AccordionContent.displayName = AccordionPrimitive.Content.displayName;
+
+export { Accordion, AccordionItem, AccordionTrigger, AccordionContent };
diff --git a/templates/ycombinator_graphrag/web-app/components/ui/alert.tsx b/templates/ycombinator_graphrag/web-app/components/ui/alert.tsx
new file mode 100644
index 000000000..75fe13984
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components/ui/alert.tsx
@@ -0,0 +1,59 @@
+import { cva, type VariantProps } from 'class-variance-authority';
+import * as React from 'react';
+
+import { cn } from '@/lib/cn';
+
+const alertVariants = cva(
+  'relative w-full rounded-lg border p-4 [&>svg~*]:pl-7 [&>svg+div]:translate-y-[-3px] [&>svg]:absolute [&>svg]:left-4 [&>svg]:top-4 [&>svg]:text-foreground',
+  {
+    variants: {
+      variant: {
+        default: 'bg-background text-foreground',
+        destructive:
+          'border-destructive/50 text-destructive dark:border-destructive [&>svg]:text-destructive',
+      },
+    },
+    defaultVariants: {
+      variant: 'default',
+    },
+  }
+);
+
+const Alert = React.forwardRef<
+  HTMLDivElement,
+  React.HTMLAttributes<HTMLDivElement> & VariantProps<typeof alertVariants>
+>(({ className, variant, ...props }, ref) => (
+  <div
+    ref={ref}
+    role="alert"
+    className={cn(alertVariants({ variant }), className)}
+    {...props}
+  />
+));
+Alert.displayName = 'Alert';
+
+const AlertTitle = React.forwardRef<
+  HTMLParagraphElement,
+  React.HTMLAttributes<HTMLHeadingElement>
+>(({ className, ...props }, ref) => (
+  <h5
+    ref={ref}
+    className={cn('mb-1 font-medium leading-none tracking-tight', className)}
+    {...props}
+  />
+));
+AlertTitle.displayName = 'AlertTitle';
+
+const AlertDescription = React.forwardRef<
+  HTMLParagraphElement,
+  React.HTMLAttributes<HTMLParagraphElement>
+>(({ className, ...props }, ref) => (
+  <div
+    ref={ref}
+    className={cn('text-sm [&_p]:leading-relaxed', className)}
+    {...props}
+  />
+));
+AlertDescription.displayName = 'AlertDescription';
+
+export { Alert, AlertTitle, AlertDescription };
diff --git a/templates/ycombinator_graphrag/web-app/components/ui/button.tsx b/templates/ycombinator_graphrag/web-app/components/ui/button.tsx
new file mode 100644
index 000000000..b1b19ea8b
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components/ui/button.tsx
@@ -0,0 +1,57 @@
+import * as React from 'react';
+import { Slot } from '@radix-ui/react-slot';
+import { cva, type VariantProps } from 'class-variance-authority';
+
+import { cn } from '@/lib/utils';
+
+const buttonVariants = cva(
+  'inline-flex items-center justify-center whitespace-nowrap rounded-md text-sm font-medium transition-colors focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring disabled:pointer-events-none disabled:opacity-50',
+  {
+    variants: {
+      variant: {
+        default:
+          'bg-primary text-primary-foreground shadow hover:bg-primary/90',
+        destructive:
+          'bg-destructive text-destructive-foreground shadow-sm hover:bg-destructive/90',
+        outline:
+          'border border-input bg-background shadow-sm hover:bg-accent hover:text-accent-foreground',
+        secondary:
+          'bg-secondary text-secondary-foreground shadow-sm hover:bg-secondary/80',
+        ghost: 'hover:bg-accent hover:text-accent-foreground',
+        link: 'text-primary underline-offset-4 hover:underline',
+      },
+      size: {
+        default: 'h-9 px-4 py-2',
+        sm: 'h-8 rounded-md px-3 text-xs',
+        lg: 'h-10 rounded-md px-8',
+        icon: 'h-9 w-9',
+      },
+    },
+    defaultVariants: {
+      variant: 'default',
+      size: 'default',
+    },
+  }
+);
+
+export interface ButtonProps
+  extends React.ButtonHTMLAttributes<HTMLButtonElement>,
+    VariantProps<typeof buttonVariants> {
+  asChild?: boolean;
+}
+
+const Button = React.forwardRef<HTMLButtonElement, ButtonProps>(
+  ({ className, variant, size, asChild = false, ...props }, ref) => {
+    const Comp = asChild ? Slot : 'button';
+    return (
+      <Comp
+        className={cn(buttonVariants({ variant, size, className }))}
+        ref={ref}
+        {...props}
+      />
+    );
+  }
+);
+Button.displayName = 'Button';
+
+export { Button, buttonVariants };
diff --git a/templates/ycombinator_graphrag/web-app/components/ui/card.tsx b/templates/ycombinator_graphrag/web-app/components/ui/card.tsx
new file mode 100644
index 000000000..9389e94e6
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components/ui/card.tsx
@@ -0,0 +1,83 @@
+import * as React from 'react';
+
+import { cn } from '@/lib/utils';
+
+const Card = React.forwardRef<
+  HTMLDivElement,
+  React.HTMLAttributes<HTMLDivElement>
+>(({ className, ...props }, ref) => (
+  <div
+    ref={ref}
+    className={cn(
+      'rounded-xl border bg-card text-card-foreground shadow',
+      className
+    )}
+    {...props}
+  />
+));
+Card.displayName = 'Card';
+
+const CardHeader = React.forwardRef<
+  HTMLDivElement,
+  React.HTMLAttributes<HTMLDivElement>
+>(({ className, ...props }, ref) => (
+  <div
+    ref={ref}
+    className={cn('flex flex-col space-y-1.5 p-6', className)}
+    {...props}
+  />
+));
+CardHeader.displayName = 'CardHeader';
+
+const CardTitle = React.forwardRef<
+  HTMLParagraphElement,
+  React.HTMLAttributes<HTMLHeadingElement>
+>(({ className, ...props }, ref) => (
+  <h3
+    ref={ref}
+    className={cn('font-semibold leading-none tracking-tight', className)}
+    {...props}
+  />
+));
+CardTitle.displayName = 'CardTitle';
+
+const CardDescription = React.forwardRef<
+  HTMLParagraphElement,
+  React.HTMLAttributes<HTMLParagraphElement>
+>(({ className, ...props }, ref) => (
+  <p
+    ref={ref}
+    className={cn('text-sm text-muted-foreground', className)}
+    {...props}
+  />
+));
+CardDescription.displayName = 'CardDescription';
+
+const CardContent = React.forwardRef<
+  HTMLDivElement,
+  React.HTMLAttributes<HTMLDivElement>
+>(({ className, ...props }, ref) => (
+  <div ref={ref} className={cn('p-6 pt-0', className)} {...props} />
+));
+CardContent.displayName = 'CardContent';
+
+const CardFooter = React.forwardRef<
+  HTMLDivElement,
+  React.HTMLAttributes<HTMLDivElement>
+>(({ className, ...props }, ref) => (
+  <div
+    ref={ref}
+    className={cn('flex items-center p-6 pt-0', className)}
+    {...props}
+  />
+));
+CardFooter.displayName = 'CardFooter';
+
+export {
+  Card,
+  CardHeader,
+  CardFooter,
+  CardTitle,
+  CardDescription,
+  CardContent,
+};
diff --git a/templates/ycombinator_graphrag/web-app/components/ui/carousel.tsx b/templates/ycombinator_graphrag/web-app/components/ui/carousel.tsx
new file mode 100644
index 000000000..411211f2d
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components/ui/carousel.tsx
@@ -0,0 +1,260 @@
+import * as React from 'react';
+import { ArrowLeftIcon, ArrowRightIcon } from '@radix-ui/react-icons';
+import useEmblaCarousel, {
+  type UseEmblaCarouselType,
+} from 'embla-carousel-react';
+
+import { cn } from '@/lib/utils';
+import { Button } from '@/components/ui/button';
+
+type CarouselApi = UseEmblaCarouselType[1];
+type UseCarouselParameters = Parameters<typeof useEmblaCarousel>;
+type CarouselOptions = UseCarouselParameters[0];
+type CarouselPlugin = UseCarouselParameters[1];
+
+type CarouselProps = {
+  opts?: CarouselOptions;
+  plugins?: CarouselPlugin;
+  orientation?: 'horizontal' | 'vertical';
+  setApi?: (api: CarouselApi) => void;
+};
+
+type CarouselContextProps = {
+  carouselRef: ReturnType<typeof useEmblaCarousel>[0];
+  api: ReturnType<typeof useEmblaCarousel>[1];
+  scrollPrev: () => void;
+  scrollNext: () => void;
+  canScrollPrev: boolean;
+  canScrollNext: boolean;
+} & CarouselProps;
+
+const CarouselContext = React.createContext<CarouselContextProps | null>(null);
+
+function useCarousel() {
+  const context = React.useContext(CarouselContext);
+
+  if (!context) {
+    throw new Error('useCarousel must be used within a <Carousel />');
+  }
+
+  return context;
+}
+
+const Carousel = React.forwardRef<
+  HTMLDivElement,
+  React.HTMLAttributes<HTMLDivElement> & CarouselProps
+>(
+  (
+    {
+      orientation = 'horizontal',
+      opts,
+      setApi,
+      plugins,
+      className,
+      children,
+      ...props
+    },
+    ref
+  ) => {
+    const [carouselRef, api] = useEmblaCarousel(
+      {
+        ...opts,
+        axis: orientation === 'horizontal' ? 'x' : 'y',
+      },
+      plugins
+    );
+    const [canScrollPrev, setCanScrollPrev] = React.useState(false);
+    const [canScrollNext, setCanScrollNext] = React.useState(false);
+
+    const onSelect = React.useCallback((api: CarouselApi) => {
+      if (!api) {
+        return;
+      }
+
+      setCanScrollPrev(api.canScrollPrev());
+      setCanScrollNext(api.canScrollNext());
+    }, []);
+
+    const scrollPrev = React.useCallback(() => {
+      api?.scrollPrev();
+    }, [api]);
+
+    const scrollNext = React.useCallback(() => {
+      api?.scrollNext();
+    }, [api]);
+
+    const handleKeyDown = React.useCallback(
+      (event: React.KeyboardEvent<HTMLDivElement>) => {
+        if (event.key === 'ArrowLeft') {
+          event.preventDefault();
+          scrollPrev();
+        } else if (event.key === 'ArrowRight') {
+          event.preventDefault();
+          scrollNext();
+        }
+      },
+      [scrollPrev, scrollNext]
+    );
+
+    React.useEffect(() => {
+      if (!api || !setApi) {
+        return;
+      }
+
+      setApi(api);
+    }, [api, setApi]);
+
+    React.useEffect(() => {
+      if (!api) {
+        return;
+      }
+
+      onSelect(api);
+      api.on('reInit', onSelect);
+      api.on('select', onSelect);
+
+      return () => {
+        api?.off('select', onSelect);
+      };
+    }, [api, onSelect]);
+
+    return (
+      <CarouselContext.Provider
+        value={{
+          carouselRef,
+          api: api,
+          opts,
+          orientation:
+            orientation || (opts?.axis === 'y' ? 'vertical' : 'horizontal'),
+          scrollPrev,
+          scrollNext,
+          canScrollPrev,
+          canScrollNext,
+        }}
+      >
+        <div
+          ref={ref}
+          onKeyDownCapture={handleKeyDown}
+          className={cn('relative', className)}
+          role="region"
+          aria-roledescription="carousel"
+          {...props}
+        >
+          {children}
+        </div>
+      </CarouselContext.Provider>
+    );
+  }
+);
+Carousel.displayName = 'Carousel';
+
+const CarouselContent = React.forwardRef<
+  HTMLDivElement,
+  React.HTMLAttributes<HTMLDivElement>
+>(({ className, ...props }, ref) => {
+  const { carouselRef, orientation } = useCarousel();
+
+  return (
+    <div ref={carouselRef} className="overflow-hidden">
+      <div
+        ref={ref}
+        className={cn(
+          'flex',
+          orientation === 'horizontal' ? '-ml-4' : '-mt-4 flex-col',
+          className
+        )}
+        {...props}
+      />
+    </div>
+  );
+});
+CarouselContent.displayName = 'CarouselContent';
+
+const CarouselItem = React.forwardRef<
+  HTMLDivElement,
+  React.HTMLAttributes<HTMLDivElement>
+>(({ className, ...props }, ref) => {
+  const { orientation } = useCarousel();
+
+  return (
+    <div
+      ref={ref}
+      role="group"
+      aria-roledescription="slide"
+      className={cn(
+        'min-w-0 shrink-0 grow-0 basis-full',
+        orientation === 'horizontal' ? 'pl-4' : 'pt-4',
+        className
+      )}
+      {...props}
+    />
+  );
+});
+CarouselItem.displayName = 'CarouselItem';
+
+const CarouselPrevious = React.forwardRef<
+  HTMLButtonElement,
+  React.ComponentProps<typeof Button>
+>(({ className, variant = 'outline', size = 'icon', ...props }, ref) => {
+  const { orientation, scrollPrev, canScrollPrev } = useCarousel();
+
+  return (
+    <Button
+      ref={ref}
+      variant={variant}
+      size={size}
+      className={cn(
+        'absolute  h-8 w-8 rounded-full',
+        orientation === 'horizontal'
+          ? '-left-12 top-1/2 -translate-y-1/2 hover:text-orange-500'
+          : '-top-12 left-1/2 -translate-x-1/2 rotate-90 hover:text-orange-500',
+        className
+      )}
+      disabled={!canScrollPrev}
+      onClick={scrollPrev}
+      {...props}
+    >
+      <ArrowLeftIcon className="h-4 w-4" />
+      <span className="sr-only">Previous slide</span>
+    </Button>
+  );
+});
+CarouselPrevious.displayName = 'CarouselPrevious';
+
+const CarouselNext = React.forwardRef<
+  HTMLButtonElement,
+  React.ComponentProps<typeof Button>
+>(({ className, variant = 'outline', size = 'icon', ...props }, ref) => {
+  const { orientation, scrollNext, canScrollNext } = useCarousel();
+
+  return (
+    <Button
+      ref={ref}
+      variant={variant}
+      size={size}
+      className={cn(
+        'absolute h-8 w-8 rounded-full',
+        orientation === 'horizontal'
+          ? '-right-12 top-1/2 -translate-y-1/2 hover:text-orange-500'
+          : '-bottom-12 left-1/2 -translate-x-1/2 rotate-90 hover:text-orange-500',
+        className
+      )}
+      disabled={!canScrollNext}
+      onClick={scrollNext}
+      {...props}
+    >
+      <ArrowRightIcon className="h-4 w-4" />
+      <span className="sr-only">Next slide</span>
+    </Button>
+  );
+});
+CarouselNext.displayName = 'CarouselNext';
+
+export {
+  type CarouselApi,
+  Carousel,
+  CarouselContent,
+  CarouselItem,
+  CarouselPrevious,
+  CarouselNext,
+};
diff --git a/templates/ycombinator_graphrag/web-app/components/ui/popover.tsx b/templates/ycombinator_graphrag/web-app/components/ui/popover.tsx
new file mode 100644
index 000000000..063d546f2
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components/ui/popover.tsx
@@ -0,0 +1,31 @@
+'use client';
+
+import * as PopoverPrimitive from '@radix-ui/react-popover';
+import * as React from 'react';
+
+import { cn } from '@/lib/cn';
+
+const Popover = PopoverPrimitive.Root;
+
+const PopoverTrigger = PopoverPrimitive.Trigger;
+
+const PopoverContent = React.forwardRef<
+  React.ElementRef<typeof PopoverPrimitive.Content>,
+  React.ComponentPropsWithoutRef<typeof PopoverPrimitive.Content>
+>(({ className, align = 'center', sideOffset = 4, ...props }, ref) => (
+  <PopoverPrimitive.Portal>
+    <PopoverPrimitive.Content
+      ref={ref}
+      align={align}
+      sideOffset={sideOffset}
+      className={cn(
+        'z-50 w-72 rounded-md border bg-popover p-4 text-popover-foreground shadow-md outline-none data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2',
+        className
+      )}
+      {...props}
+    />
+  </PopoverPrimitive.Portal>
+));
+PopoverContent.displayName = PopoverPrimitive.Content.displayName;
+
+export { Popover, PopoverTrigger, PopoverContent };
diff --git a/templates/ycombinator_graphrag/web-app/components/ui/skeleton.tsx b/templates/ycombinator_graphrag/web-app/components/ui/skeleton.tsx
new file mode 100644
index 000000000..28daf4d4e
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components/ui/skeleton.tsx
@@ -0,0 +1,14 @@
+import { HTMLAttributes } from 'react';
+
+import { cn } from '@/lib/cn';
+
+function Skeleton({ className, ...props }: HTMLAttributes<HTMLDivElement>) {
+  return (
+    <div
+      className={cn('animate-pulse rounded-md bg-muted', className)}
+      {...props}
+    />
+  );
+}
+
+export { Skeleton };
diff --git a/templates/ycombinator_graphrag/web-app/components/ui/tabs.tsx b/templates/ycombinator_graphrag/web-app/components/ui/tabs.tsx
new file mode 100644
index 000000000..5d3dfa64f
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/components/ui/tabs.tsx
@@ -0,0 +1,54 @@
+import * as React from 'react';
+import * as TabsPrimitive from '@radix-ui/react-tabs';
+
+import { cn } from '@/lib/utils';
+
+const Tabs = TabsPrimitive.Root;
+
+const TabsList = React.forwardRef<
+  React.ElementRef<typeof TabsPrimitive.List>,
+  React.ComponentPropsWithoutRef<typeof TabsPrimitive.List>
+>(({ className, ...props }, ref) => (
+  <TabsPrimitive.List
+    ref={ref}
+    className={cn(
+      'inline-flex h-9 items-center justify-center rounded-lg bg-muted p-1 text-muted-foreground',
+      className
+    )}
+    {...props}
+  />
+));
+TabsList.displayName = TabsPrimitive.List.displayName;
+
+const TabsTrigger = React.forwardRef<
+  React.ElementRef<typeof TabsPrimitive.Trigger>,
+  React.ComponentPropsWithoutRef<typeof TabsPrimitive.Trigger>
+>(({ className, ...props }, ref) => (
+  <TabsPrimitive.Trigger
+    ref={ref}
+    className={cn(
+      'mt-4 ml-4 inline-flex items-center justify-center whitespace-nowrap rounded-md px-3 py-1 text-sm font-medium ring-offset-background transition-all focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:pointer-events-none disabled:opacity-50',
+      'data-[state=active]:bg-orange-500 data-[state=active]:text-white data-[state=active]:shadow', // Updated active state styles
+      className
+    )}
+    {...props}
+  />
+));
+TabsTrigger.displayName = TabsPrimitive.Trigger.displayName;
+
+const TabsContent = React.forwardRef<
+  React.ElementRef<typeof TabsPrimitive.Content>,
+  React.ComponentPropsWithoutRef<typeof TabsPrimitive.Content>
+>(({ className, ...props }, ref) => (
+  <TabsPrimitive.Content
+    ref={ref}
+    className={cn(
+      'mt-2 ring-offset-background focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2',
+      className
+    )}
+    {...props}
+  />
+));
+TabsContent.displayName = TabsPrimitive.Content.displayName;
+
+export { Tabs, TabsList, TabsTrigger, TabsContent };
diff --git a/templates/ycombinator_graphrag/web-app/lib/cn.ts b/templates/ycombinator_graphrag/web-app/lib/cn.ts
new file mode 100644
index 000000000..9ad0df426
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/lib/cn.ts
@@ -0,0 +1,6 @@
+import { type ClassValue, clsx } from 'clsx';
+import { twMerge } from 'tailwind-merge';
+
+export function cn(...inputs: ClassValue[]) {
+  return twMerge(clsx(inputs));
+}
diff --git a/templates/ycombinator_graphrag/web-app/lib/utils.ts b/templates/ycombinator_graphrag/web-app/lib/utils.ts
new file mode 100644
index 000000000..2819a830d
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/lib/utils.ts
@@ -0,0 +1,6 @@
+import { clsx, type ClassValue } from 'clsx';
+import { twMerge } from 'tailwind-merge';
+
+export function cn(...inputs: ClassValue[]) {
+  return twMerge(clsx(inputs));
+}
diff --git a/templates/ycombinator_graphrag/web-app/next.config.mjs b/templates/ycombinator_graphrag/web-app/next.config.mjs
new file mode 100644
index 000000000..d5456a15d
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/next.config.mjs
@@ -0,0 +1,6 @@
+/** @type {import('next').NextConfig} */
+const nextConfig = {
+  reactStrictMode: true,
+};
+
+export default nextConfig;
diff --git a/templates/ycombinator_graphrag/web-app/package-lock.json b/templates/ycombinator_graphrag/web-app/package-lock.json
new file mode 100644
index 000000000..ba76cd24b
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/package-lock.json
@@ -0,0 +1,7868 @@
+{
+  "name": "web-app",
+  "version": "0.1.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "web-app",
+      "version": "0.1.0",
+      "license": "ISC",
+      "dependencies": {
+        "@radix-ui/react-accordion": "^1.2.0",
+        "@radix-ui/react-icons": "^1.3.0",
+        "@radix-ui/react-popover": "^1.1.1",
+        "@radix-ui/react-slot": "^1.1.0",
+        "@radix-ui/react-tabs": "^1.1.0",
+        "class-variance-authority": "^0.7.0",
+        "clsx": "^2.1.1",
+        "embla-carousel-react": "^8.3.0",
+        "lucide-react": "^0.426.0",
+        "next": "14.2.5",
+        "r2r-js": "^0.3.0",
+        "react": "^18",
+        "react-dom": "^18",
+        "react-markdown": "^9.0.1",
+        "react-syntax-highlighter": "^15.5.0",
+        "tailwind-merge": "^2.5.2",
+        "tailwindcss-animate": "^1.0.7"
+      },
+      "devDependencies": {
+        "@types/node": "^20",
+        "@types/react": "^18",
+        "@types/react-dom": "^18",
+        "@types/react-syntax-highlighter": "^15.5.13",
+        "eslint": "8.57.0",
+        "eslint-config-next": "14.2.5",
+        "postcss": "^8",
+        "prettier": "^3.3.3",
+        "tailwindcss": "^3.4.1",
+        "typescript": "^5"
+      }
+    },
+    "node_modules/@alloc/quick-lru": {
+      "version": "5.2.0",
+      "resolved": "https://registry.npmjs.org/@alloc/quick-lru/-/quick-lru-5.2.0.tgz",
+      "integrity": "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
+    "node_modules/@babel/runtime": {
+      "version": "7.25.0",
+      "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.25.0.tgz",
+      "integrity": "sha512-7dRy4DwXwtzBrPbZflqxnvfxLF8kdZXPkhymtDeFoFqE6ldzjQFgYTtYIFARcLEYDrqfBfYcZt1WqFxRoyC9Rw==",
+      "license": "MIT",
+      "dependencies": {
+        "regenerator-runtime": "^0.14.0"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@eslint-community/eslint-utils": {
+      "version": "4.4.0",
+      "resolved": "https://registry.npmjs.org/@eslint-community/eslint-utils/-/eslint-utils-4.4.0.tgz",
+      "integrity": "sha512-1/sA4dwrzBAyeUoQ6oxahHKmrZvsnLCg4RfxW3ZFGGmQkSNQPFNLV9CUEFQP1x9EYXHTo5p6xdhZM1Ne9p/AfA==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "eslint-visitor-keys": "^3.3.0"
+      },
+      "engines": {
+        "node": "^12.22.0 || ^14.17.0 || >=16.0.0"
+      },
+      "peerDependencies": {
+        "eslint": "^6.0.0 || ^7.0.0 || >=8.0.0"
+      }
+    },
+    "node_modules/@eslint-community/regexpp": {
+      "version": "4.11.0",
+      "resolved": "https://registry.npmjs.org/@eslint-community/regexpp/-/regexpp-4.11.0.tgz",
+      "integrity": "sha512-G/M/tIiMrTAxEWRfLfQJMmGNX28IxBg4PBz8XqQhqUHLFI6TL2htpIB1iQCj144V5ee/JaKyT9/WZ0MGZWfA7A==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": "^12.0.0 || ^14.0.0 || >=16.0.0"
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+    "node_modules/wrap-ansi-cjs/node_modules/ansi-styles": {
+      "version": "4.3.0",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
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+      "license": "MIT",
+      "dependencies": {
+        "color-convert": "^2.0.1"
+      },
+      "engines": {
+        "node": ">=8"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/ansi-styles?sponsor=1"
+      }
+    },
+    "node_modules/wrap-ansi-cjs/node_modules/emoji-regex": {
+      "version": "8.0.0",
+      "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
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+      "license": "MIT"
+    },
+    "node_modules/wrap-ansi-cjs/node_modules/string-width": {
+      "version": "4.2.3",
+      "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
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+      "license": "MIT",
+      "dependencies": {
+        "emoji-regex": "^8.0.0",
+        "is-fullwidth-code-point": "^3.0.0",
+        "strip-ansi": "^6.0.1"
+      },
+      "engines": {
+        "node": ">=8"
+      }
+    },
+    "node_modules/wrap-ansi-cjs/node_modules/strip-ansi": {
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+      "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
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+      "license": "MIT",
+      "dependencies": {
+        "ansi-regex": "^5.0.1"
+      },
+      "engines": {
+        "node": ">=8"
+      }
+    },
+    "node_modules/wrappy": {
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+      "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
+      "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==",
+      "dev": true,
+      "license": "ISC"
+    },
+    "node_modules/xtend": {
+      "version": "4.0.2",
+      "resolved": "https://registry.npmjs.org/xtend/-/xtend-4.0.2.tgz",
+      "integrity": "sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=0.4"
+      }
+    },
+    "node_modules/yaml": {
+      "version": "2.5.0",
+      "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.5.0.tgz",
+      "integrity": "sha512-2wWLbGbYDiSqqIKoPjar3MPgB94ErzCtrNE1FdqGuaO0pi2JGjmE8aW8TDZwzU7vuxcGRdL/4gPQwQ7hD5AMSw==",
+      "license": "ISC",
+      "bin": {
+        "yaml": "bin.mjs"
+      },
+      "engines": {
+        "node": ">= 14"
+      }
+    },
+    "node_modules/yocto-queue": {
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+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
+    "node_modules/zwitch": {
+      "version": "2.0.4",
+      "resolved": "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz",
+      "integrity": "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==",
+      "license": "MIT",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
+    }
+  }
+}
diff --git a/templates/ycombinator_graphrag/web-app/package.json b/templates/ycombinator_graphrag/web-app/package.json
new file mode 100644
index 000000000..2263c42d7
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/package.json
@@ -0,0 +1,50 @@
+{
+  "name": "web-app",
+  "version": "0.1.0",
+  "private": true,
+  "scripts": {
+    "dev": "next dev -p 3001",
+    "build": "next build",
+    "start": "next start",
+    "lint": "next lint",
+    "format": "prettier --write ."
+  },
+  "dependencies": {
+    "@radix-ui/react-accordion": "^1.2.0",
+    "@radix-ui/react-icons": "^1.3.0",
+    "@radix-ui/react-popover": "^1.1.1",
+    "@radix-ui/react-slot": "^1.1.0",
+    "@radix-ui/react-tabs": "^1.1.0",
+    "class-variance-authority": "^0.7.0",
+    "clsx": "^2.1.1",
+    "embla-carousel-react": "^8.3.0",
+    "lucide-react": "^0.426.0",
+    "next": "14.2.5",
+    "r2r-js": "^0.3.0",
+    "react": "^18",
+    "react-dom": "^18",
+    "react-markdown": "^9.0.1",
+    "react-syntax-highlighter": "^15.5.0",
+    "tailwind-merge": "^2.5.2",
+    "tailwindcss-animate": "^1.0.7"
+  },
+  "devDependencies": {
+    "@types/node": "^20",
+    "@types/react": "^18",
+    "@types/react-dom": "^18",
+    "@types/react-syntax-highlighter": "^15.5.13",
+    "eslint": "8.57.0",
+    "eslint-config-next": "14.2.5",
+    "postcss": "^8",
+    "prettier": "^3.3.3",
+    "tailwindcss": "^3.4.1",
+    "typescript": "^5"
+  },
+  "description": "This is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app).",
+  "main": "index.js",
+  "directories": {
+    "lib": "lib"
+  },
+  "author": "",
+  "license": "ISC"
+}
diff --git a/templates/ycombinator_graphrag/web-app/pages/_app.tsx b/templates/ycombinator_graphrag/web-app/pages/_app.tsx
new file mode 100644
index 000000000..c14313e83
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/pages/_app.tsx
@@ -0,0 +1,6 @@
+import '@/styles/globals.css';
+import type { AppProps } from 'next/app';
+
+export default function App({ Component, pageProps }: AppProps) {
+  return <Component {...pageProps} />;
+}
diff --git a/templates/ycombinator_graphrag/web-app/pages/_document.tsx b/templates/ycombinator_graphrag/web-app/pages/_document.tsx
new file mode 100644
index 000000000..78b2e24e4
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/pages/_document.tsx
@@ -0,0 +1,15 @@
+import { Html, Head, Main, NextScript } from 'next/document';
+
+export default function Document() {
+  return (
+    <Html lang="en">
+      <Head>
+        <link rel="icon" href="/favicon.ico" />
+      </Head>
+      <body>
+        <Main />
+        <NextScript />
+      </body>
+    </Html>
+  );
+}
diff --git a/templates/ycombinator_graphrag/web-app/pages/api/agent.ts b/templates/ycombinator_graphrag/web-app/pages/api/agent.ts
new file mode 100644
index 000000000..1a0e53dba
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/pages/api/agent.ts
@@ -0,0 +1,91 @@
+import { r2rClient } from 'r2r-js';
+
+export const config = {
+  runtime: 'edge',
+};
+
+export default async function handler(req: Request) {
+  if (req.method !== 'POST') {
+    return new Response('Method Not Allowed', { status: 405 });
+  }
+
+  try {
+    const {
+      messages,
+      userId,
+      apiUrl,
+      use_vector_search,
+      search_filters,
+      search_limit,
+      do_hybrid_search,
+      use_kg_search,
+      rag_generation_config,
+      kg_search_type,
+    } = await req.json();
+
+    if (!messages || !apiUrl) {
+      return new Response('Missing required parameters', { status: 400 });
+    }
+
+    const client = new r2rClient(apiUrl);
+
+    const searchParams = {
+      use_vector_search: use_vector_search ?? true,
+      filters: userId ? { ...search_filters, user_id: userId } : search_filters,
+      search_limit: 20, // search_limit || 20,
+      do_hybrid_search: do_hybrid_search ?? false,
+      use_kg_search: true, // use_kg_search ?? false,
+      // kg_search_type: "local", // kg_search_type ?? 'local',
+    };
+
+    console.log('searchParams = ', searchParams);
+
+    const kgSearchParams = use_kg_search
+      ? { use_kg_search: true, kg_search_type: 'local' }
+      : undefined;
+
+    const ragConfig = {
+      ...rag_generation_config,
+      stream: true,
+    };
+    const taskPromptOverride = `
+    ### You are a helpful agent that can search for information.
+
+
+    When asked a question, perform a search to find relevant information and provide a response. Your dataset consits of information about companies from the latest YC batch, summer 2024.
+
+
+    The response should contain line-item attributions to relevant search results, and be as informative if possible.
+
+    If no relevant results are found, then state that no results were found.
+
+    If no obvious question is present, then do not carry out a search, and instead ask for clarification.\
+
+    REMINDER - Use line item references to like [1], [2], ... refer to specifically numbered items in the provided context.
+    `;
+
+    const streamResponse = await client.agent(
+      messages,
+      searchParams,
+      kgSearchParams,
+      ragConfig,
+      taskPromptOverride
+    );
+
+    return new Response(streamResponse, {
+      headers: { 'Content-Type': 'text/event-stream' },
+    });
+  } catch (error: unknown) {
+    console.error('Error in agent completion:', error);
+    return new Response(
+      JSON.stringify({
+        error: 'Internal Server Error',
+        details: error instanceof Error ? error.message : 'Unknown error',
+      }),
+      {
+        status: 500,
+        headers: { 'Content-Type': 'application/json' },
+      }
+    );
+  }
+}
diff --git a/templates/ycombinator_graphrag/web-app/pages/index.tsx b/templates/ycombinator_graphrag/web-app/pages/index.tsx
new file mode 100644
index 000000000..9c5c9c564
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/pages/index.tsx
@@ -0,0 +1,83 @@
+'use client';
+
+import React, { useState, useRef, useEffect } from 'react';
+import { useRouter } from 'next/router';
+import { ChatWindow } from '@/components/ChatWindow';
+import { Search } from '@/components/Search';
+import Header from '@/components/Header';
+
+const Index: React.FC = () => {
+  const router = useRouter();
+  const [query, setQuery] = useState('');
+  const [agentUrl] = useState('http://34.133.192.176:7272');
+  const [isStreaming, setIsStreaming] = useState(false);
+  const contentAreaRef = useRef<HTMLDivElement>(null);
+  const [messages, setMessages] = useState<any[]>([]);
+
+  useEffect(() => {
+    if (router.isReady) {
+      const { q } = router.query;
+      if (typeof q === 'string') {
+        setQuery(q);
+      }
+    }
+  }, [router.isReady, router.query]);
+
+  const handleClearMessages = () => {
+    setMessages([]);
+    setQuery('');
+    router.push('/', undefined, { shallow: true });
+  };
+
+  const handleSearch = (newQuery: string) => {
+    setQuery(newQuery);
+    router.push(`/?q=${encodeURIComponent(newQuery)}`, undefined, {
+      shallow: true,
+    });
+    // Add your search logic here
+  };
+
+  const clearUrlAndReload = () => {
+    router.push('/', undefined, { shallow: true }).then(() => {
+      window.location.reload();
+    });
+  };
+
+  return (
+    <div className="flex flex-col min-h-screen">
+      <Header onLogoClick={clearUrlAndReload} />
+      <div className="flex-grow flex justify-center">
+        <div className="w-full max-w-4xl flex flex-col h-full mt-24">
+          <div className="flex-grow overflow-auto p-4">
+            <ChatWindow
+              query={query}
+              setQuery={setQuery}
+              agentUrl={agentUrl}
+              messages={messages}
+              setMessages={setMessages}
+              isStreaming={isStreaming}
+              setIsStreaming={setIsStreaming}
+            />
+          </div>
+        </div>
+      </div>
+      <div
+        className="p-4 shadow-md sticky bottom-0"
+        style={{ background: 'var(--background)' }}
+      >
+        <div className="flex justify-center">
+          <div className="w-full max-w-4xl">
+            <Search
+              setQuery={handleSearch}
+              placeholder="Start a conversation..."
+              onClear={handleClearMessages}
+              isStreaming={isStreaming}
+            />
+          </div>
+        </div>
+      </div>
+    </div>
+  );
+};
+
+export default Index;
diff --git a/templates/ycombinator_graphrag/web-app/pnpm-lock.yaml b/templates/ycombinator_graphrag/web-app/pnpm-lock.yaml
new file mode 100644
index 000000000..6cb0d2b84
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/pnpm-lock.yaml
@@ -0,0 +1,5991 @@
+lockfileVersion: '6.0'
+
+settings:
+  autoInstallPeers: true
+  excludeLinksFromLockfile: false
+
+dependencies:
+  '@radix-ui/react-accordion':
+    specifier: ^1.2.0
+    version: 1.2.0(@types/react-dom@18.3.0)(@types/react@18.3.7)(react-dom@18.3.1)(react@18.3.1)
+  '@radix-ui/react-icons':
+    specifier: ^1.3.0
+    version: 1.3.0(react@18.3.1)
+  '@radix-ui/react-popover':
+    specifier: ^1.1.1
+    version: 1.1.1(@types/react-dom@18.3.0)(@types/react@18.3.7)(react-dom@18.3.1)(react@18.3.1)
+  '@radix-ui/react-slot':
+    specifier: ^1.1.0
+    version: 1.1.0(@types/react@18.3.7)(react@18.3.1)
+  '@radix-ui/react-tabs':
+    specifier: ^1.1.0
+    version: 1.1.0(@types/react-dom@18.3.0)(@types/react@18.3.7)(react-dom@18.3.1)(react@18.3.1)
+  class-variance-authority:
+    specifier: ^0.7.0
+    version: 0.7.0
+  clsx:
+    specifier: ^2.1.1
+    version: 2.1.1
+  embla-carousel-react:
+    specifier: ^8.3.0
+    version: 8.3.0(react@18.3.1)
+  lucide-react:
+    specifier: ^0.426.0
+    version: 0.426.0(react@18.3.1)
+  next:
+    specifier: 14.2.5
+    version: 14.2.5(react-dom@18.3.1)(react@18.3.1)
+  r2r-js:
+    specifier: ^0.3.0
+    version: 0.3.2
+  react:
+    specifier: ^18
+    version: 18.3.1
+  react-dom:
+    specifier: ^18
+    version: 18.3.1(react@18.3.1)
+  react-markdown:
+    specifier: ^9.0.1
+    version: 9.0.1(@types/react@18.3.7)(react@18.3.1)
+  react-syntax-highlighter:
+    specifier: ^15.5.0
+    version: 15.5.0(react@18.3.1)
+  tailwind-merge:
+    specifier: ^2.5.2
+    version: 2.5.2
+  tailwindcss-animate:
+    specifier: ^1.0.7
+    version: 1.0.7(tailwindcss@3.4.12)
+
+devDependencies:
+  '@types/node':
+    specifier: ^20
+    version: 20.16.5
+  '@types/react':
+    specifier: ^18
+    version: 18.3.7
+  '@types/react-dom':
+    specifier: ^18
+    version: 18.3.0
+  '@types/react-syntax-highlighter':
+    specifier: ^15.5.13
+    version: 15.5.13
+  eslint:
+    specifier: 8.57.0
+    version: 8.57.0
+  eslint-config-next:
+    specifier: 14.2.5
+    version: 14.2.5(eslint@8.57.0)(typescript@5.6.2)
+  postcss:
+    specifier: ^8
+    version: 8.4.47
+  prettier:
+    specifier: ^3.3.3
+    version: 3.3.3
+  tailwindcss:
+    specifier: ^3.4.1
+    version: 3.4.12
+  typescript:
+    specifier: ^5
+    version: 5.6.2
+
+packages:
+  /@alloc/quick-lru@5.2.0:
+    resolution:
+      {
+        integrity: sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw==,
+      }
+    engines: { node: '>=10' }
+
+  /@babel/runtime@7.25.6:
+    resolution:
+      {
+        integrity: sha512-VBj9MYyDb9tuLq7yzqjgzt6Q+IBQLrGZfdjOekyEirZPHxXWoTSGUTMrpsfi58Up73d13NfYLv8HT9vmznjzhQ==,
+      }
+    engines: { node: '>=6.9.0' }
+    dependencies:
+      regenerator-runtime: 0.14.1
+    dev: false
+
+  /@eslint-community/eslint-utils@4.4.0(eslint@8.57.0):
+    resolution:
+      {
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+      }
+    engines: { node: ^12.22.0 || ^14.17.0 || >=16.0.0 }
+    peerDependencies:
+      eslint: ^6.0.0 || ^7.0.0 || >=8.0.0
+    dependencies:
+      eslint: 8.57.0
+      eslint-visitor-keys: 3.4.3
+    dev: true
+
+  /@eslint-community/regexpp@4.11.1:
+    resolution:
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+      }
+    engines: { node: ^12.0.0 || ^14.0.0 || >=16.0.0 }
+    dev: true
+
+  /@eslint/eslintrc@2.1.4:
+    resolution:
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+      }
+    engines: { node: ^12.22.0 || ^14.17.0 || >=16.0.0 }
+    dependencies:
+      ajv: 6.12.6
+      debug: 4.3.7
+      espree: 9.6.1
+      globals: 13.24.0
+      ignore: 5.3.2
+      import-fresh: 3.3.0
+      js-yaml: 4.1.0
+      minimatch: 3.1.2
+      strip-json-comments: 3.1.1
+    transitivePeerDependencies:
+      - supports-color
+    dev: true
+
+  /@eslint/js@8.57.0:
+    resolution:
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+      }
+    engines: { node: ^12.22.0 || ^14.17.0 || >=16.0.0 }
+    dev: true
+
+  /@floating-ui/core@1.6.8:
+    resolution:
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+      }
+    dependencies:
+      '@floating-ui/utils': 0.2.8
+    dev: false
+
+  /@floating-ui/dom@1.6.11:
+    resolution:
+      {
+        integrity: sha512-qkMCxSR24v2vGkhYDo/UzxfJN3D4syqSjyuTFz6C7XcpU1pASPRieNI0Kj5VP3/503mOfYiGY891ugBX1GlABQ==,
+      }
+    dependencies:
+      '@floating-ui/core': 1.6.8
+      '@floating-ui/utils': 0.2.8
+    dev: false
+
+  /@floating-ui/react-dom@2.1.2(react-dom@18.3.1)(react@18.3.1):
+    resolution:
+      {
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+      }
+    peerDependencies:
+      react: '>=16.8.0'
+      react-dom: '>=16.8.0'
+    dependencies:
+      '@floating-ui/dom': 1.6.11
+      react: 18.3.1
+      react-dom: 18.3.1(react@18.3.1)
+    dev: false
+
+  /@floating-ui/utils@0.2.8:
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diff --git a/templates/ycombinator_graphrag/web-app/postcss.config.mjs b/templates/ycombinator_graphrag/web-app/postcss.config.mjs
new file mode 100644
index 000000000..1a69fd2a4
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/postcss.config.mjs
@@ -0,0 +1,8 @@
+/** @type {import('postcss-load-config').Config} */
+const config = {
+  plugins: {
+    tailwindcss: {},
+  },
+};
+
+export default config;
diff --git a/templates/ycombinator_graphrag/web-app/public/data/gao-rag-survey.pdf b/templates/ycombinator_graphrag/web-app/public/data/gao-rag-survey.pdf
new file mode 100644
index 000000000..ab0f3f275
Binary files /dev/null and b/templates/ycombinator_graphrag/web-app/public/data/gao-rag-survey.pdf differ
diff --git a/templates/ycombinator_graphrag/web-app/public/data/gcp-rag.txt b/templates/ycombinator_graphrag/web-app/public/data/gcp-rag.txt
new file mode 100644
index 000000000..2ed795fe0
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/public/data/gcp-rag.txt
@@ -0,0 +1,55 @@
+What is Retrieval-Augmented Generation (RAG)?
+RAG (Retrieval-Augmented Generation) is an AI framework that combines the strengths of traditional information retrieval systems (such as databases) with the capabilities of generative large language models (LLMs).  By combining this extra knowledge with its own language skills, the AI can write text that is more accurate, up-to-date, and relevant to your specific needs.
+How does Retrieval-Augmented Generation work?
+RAGs operate with a few main steps to help enhance generative AI outputs:
+
+Retrieval and Pre-processing: RAGs leverage powerful search algorithms to query external data, such as web pages, knowledge bases, and databases. Once retrieved, the relevant information undergoes pre-processing, including tokenization, stemming, and removal of stop words.
+Generation: The pre-processed retrieved information is then seamlessly incorporated into the pre-trained LLM. This integration enhances the LLM's context, providing it with a more comprehensive understanding of the topic. This augmented context enables the LLM to generate more precise, informative, and engaging responses.
+RAG operates by first retrieving relevant information from a database using a query generated by the LLM. This retrieved information is then integrated into the LLM's query input, enabling it to generate more accurate and contextually relevant text. RAG leverages vector databases, which store data in a way that facilitates efficient search and retrieval.
+Why Use RAG?
+RAG offers several advantages over traditional methods of text generation, especially when dealing with factual information or data-driven responses. Here are some key reasons why using RAG can be beneficial:
+
+Access to updated information
+Traditional LLMs are often limited to their pre-trained knowledge and data. This could lead to potentially outdated or inaccurate responses. RAG overcomes this by granting LLMs access to external information sources, ensuring accurate and up-to-date answers.
+
+Factual grounding
+LLMs are powerful tools for generating creative and engaging text, but they can sometimes struggle with factual accuracy. This is because LLMs are trained on massive amounts of text data, which may contain inaccuracies or biases.
+
+RAG helps address this issue by providing LLMs with access to a curated knowledge base, ensuring that the generated text is grounded in factual information. This makes RAG particularly valuable for applications where accuracy is paramount, such as news reporting, scientific writing, or customer service.
+
+Note: RAG may also assist in preventing hallucinations being sent to the end user. The LLM will still generate solutions from time to time where its training is incomplete but the RAG technique helps improve the user experience.
+
+Contextual relevance
+The retrieval mechanism in RAG ensures that the retrieved information is relevant to the input query or context.
+
+By providing the LLM with contextually relevant information, RAG helps the model generate responses that are more coherent and aligned with the given context.
+
+This contextual grounding helps to reduce the generation of irrelevant or off-topic responses.
+
+Factual consistency
+RAG encourages the LLM to generate responses that are consistent with the retrieved factual information.
+
+By conditioning the generation process on the retrieved knowledge, RAG helps to minimize contradictions and inconsistencies in the generated text.
+
+This promotes factual consistency and reduces the likelihood of generating false or misleading information.
+
+Utilizes vector databases
+RAGs leverage vector databases to efficiently retrieve relevant documents. Vector databases store documents as vectors in a high-dimensional space, allowing for fast and accurate retrieval based on semantic similarity.
+
+Improved response accuracy
+RAGs complement LLMs by providing them with contextually relevant information. LLMs can then use this information to generate more coherent, informative, and accurate responses, even multi-modal ones.
+
+RAGs and chatbots
+RAGs can be integrated into a chatbot system to enhance their conversational abilities. By accessing external information, RAG-powered chatbots helps leverage external knowledge to provide more comprehensive,informative, and context-aware responses, improving the overall user experience.
+
+What Google Cloud products & services are related to RAG?
+The following Google Cloud products are related to Retrieval-Augmented Generation:
+Further Reading
+Learn more about using retrieval augmented generation with these resources!
+
+Your RAGs powered by Google Search technology
+RAG with databases on Google Cloud
+Infrastructure for a RAG-capable generative AI application using Vertex AI
+APIs to build your own search and Retrieval Augmented Generation (RAG) systems
+How to use RAG in BigQuery to bolster LLMs
+Code sample and quickstart to get familiar with RAG
diff --git a/templates/ycombinator_graphrag/web-app/public/data/ibm-rag.md b/templates/ycombinator_graphrag/web-app/public/data/ibm-rag.md
new file mode 100644
index 000000000..f7beb3329
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/public/data/ibm-rag.md
@@ -0,0 +1,50 @@
+What is retrieval-augmented generation?
+RAG is an AI framework for retrieving facts from an external knowledge base to ground large language models (LLMs) on the most accurate, up-to-date information and to give users insight into LLMs' generative process.
+Large language models can be inconsistent. Sometimes they nail the answer to questions, other times they regurgitate random facts from their training data. If they occasionally sound like they have no idea what they’re saying, it’s because they don’t. LLMs know how words relate statistically, but not what they mean.
+
+Retrieval-augmented generation (RAG) is an AI framework for improving the quality of LLM-generated responses by grounding the model on external sources of knowledge to supplement the LLM’s internal representation of information.
+
+Implementing RAG in an LLM-based question answering system has two main benefits: It ensures that the model has access to the most current, reliable facts, and that users have access to the model’s sources, ensuring that its claims can be checked for accuracy and ultimately trusted.
+
+“You want to cross-reference a model’s answers with the original content so you can see what it is basing its answer on,” said Luis Lastras, director of language technologies at IBM Research.
+
+RAG has additional benefits. By grounding an LLM on a set of external, verifiable facts, the model has fewer opportunities to pull information baked into its parameters. This reduces the chances that an LLM will leak sensitive data, or ‘hallucinate’ incorrect or misleading information.
+
+RAG also reduces the need for users to continuously train the model on new data and update its parameters as circumstances evolve. In this way, RAG can lower the computational and financial costs of running LLM-powered chatbots in an enterprise setting. IBM unveiled its new AI and data platform, watsonx, which offers RAG, back in May.
+
+An ‘open book’ approach to answering tough questions
+Underpinning all foundation models, including LLMs, is an AI architecture known as the transformer. It turns heaps of raw data into a compressed representation of its basic structure. Starting from this raw representation, a foundation model can be adapted to a variety of tasks with some additional fine-tuning on labeled, domain-specific knowledge.
+
+But fine-tuning alone rarely gives the model the full breadth of knowledge it needs to answer highly specific questions in an ever-changing context. In a 2020 paper, Meta (then known as Facebook) came up with a framework called retrieval-augmented generation to give LLMs access to information beyond their training data. RAG allows LLMs to build on a specialized body of knowledge to answer questions in more accurate way.
+
+“It’s the difference between an open-book and a closed-book exam,” Lastras said. “In a RAG system, you are asking the model to respond to a question by browsing through the content in a book, as opposed to trying to remember facts from memory.”
+
+As the name suggests, RAG has two phases: retrieval and content generation. In the retrieval phase, algorithms search for and retrieve snippets of information relevant to the user’s prompt or question. In an open-domain, consumer setting, those facts can come from indexed documents on the internet; in a closed-domain, enterprise setting, a narrower set of sources are typically used for added security and reliability.
+
+This assortment of external knowledge is appended to the user’s prompt and passed to the language model. In the generative phase, the LLM draws from the augmented prompt and its internal representation of its training data to synthesize an engaging answer tailored to the user in that instant. The answer can then be passed to a chatbot with links to its sources.
+
+Toward personalized and verifiable responses
+Before LLMs, digital conversation agents followed a manual dialogue flow. They confirmed the customer’s intent, fetched the requested information, and delivered an answer in a one-size-fits all script. For straightforward queries, this manual decision-tree method worked just fine.
+
+But it had limitations. Anticipating and scripting answers to every question a customer might conceivably ask took time; if you missed a scenario, the chatbot had no ability to improvise. Updating the scripts as policies and circumstances evolved was either impractical or impossible.
+
+Today, LLM-powered chatbots can give customers more personalized answers without humans having to write out new scripts. And RAG allows LLMs to go one step further by greatly reducing the need to feed and retrain the model on fresh examples. Simply upload the latest documents or policies, and the model retrieves the information in open-book mode to answer the question.
+
+IBM is currently using RAG to ground its internal customer-care chatbots on content that can be verified and trusted. This real-world scenario shows how it works: An employee, Alice, has learned that her son’s school will have early dismissal on Wednesdays for the rest of the year. She wants to know if she can take vacation in half-day increments and if she has enough vacation to finish the year.
+
+To craft its response, the LLM first pulls data from Alice’s HR files to find out how much vacation she gets as a longtime employee, and how many days she has left for the year. It also searches the company’s policies to verify that her vacation can be taken in half-days. These facts are injected into Alice’s initial query and passed to the LLM, which generates a concise, personalized answer. A chatbot delivers the response, with links to its sources.
+
+Teaching the model to recognize when it doesn’t know
+Customer queries aren’t always this straightforward. They can be ambiguously worded, complex, or require knowledge the model either doesn’t have or can’t easily parse. These are the conditions in which LLMs are prone to making things up.
+
+“Think of the model as an overeager junior employee that blurts out an answer before checking the facts,” said Lastras. “Experience teaches us to stop and say when we don’t know something. But LLMs need to be explicitly trained to recognize questions they can’t answer.”
+
+In a more challenging scenario taken from real life, Alice wants to know how many days of maternity leave she gets. A chatbot that does not use RAG responds cheerfully (and incorrectly): “Take as long as you want.”
+
+Maternity-leave policies are complex, in part, because they vary by the state or country of the employee’s home-office. When the LLM failed to find a precise answer, it should have responded, “I’m sorry, I don’t know,” said Lastras, or asked additional questions until it could land on a question it could definitively answer. Instead, it pulled a phrase from a training set stocked with empathetic, customer-pleasing language.
+
+With enough fine-tuning, an LLM can be trained to pause and say when it’s stuck. But it may need to see thousands of examples of questions that can and can’t be answered. Only then can the model learn to identify an unanswerable question, and probe for more detail until it hits on a question that it has the information to answer.
+
+RAG is currently the best-known tool for grounding LLMs on the latest, verifiable information, and lowering the costs of having to constantly retrain and update them. RAG depends on the ability to enrich prompts with relevant information contained in vectors, which are mathematical representations of data. Vector databases can efficiently index, store and retrieve information for things like recommendation engines and chatbots. But RAG is imperfect, and many interesting challenges remain in getting RAG done right.
+
+At IBM Research, we are focused on innovating at both ends of the process: retrieval, how to find and fetch the most relevant information possible to feed the LLM; and generation, how to best structure that information to get the richest responses from the LLM.
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+	data-identifier="67360 https://blogs.nvidia.com/?p=67360"
+	data-title="What Is Retrieval-Augmented Generation, aka RAG?">
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+			<h1>What Is Retrieval-Augmented Generation, aka RAG?</h1>
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+				Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources.			</div>
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+			<span class="entry-date">November 15, 2023</span> <span class="meta-sep">by</span> <span class="author vcard"><a class="url fn n" href="https://blogs.nvidia.com/blog/author/rickmerritt/" title="View all posts by Rick Merritt">Rick Merritt</a></span>			</div>
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+		<span class="bsf-rt-reading-time"><span class="bsf-rt-display-label" prefix="Reading Time:"></span> <span class="bsf-rt-display-time" reading_time="6"></span> <span class="bsf-rt-display-postfix" postfix="mins"></span></span><div id="bsf_rt_marker"></div><p>To understand the latest advance in <a target="_blank" href="https://www.nvidia.com/en-us/glossary/data-science/generative-ai/">generative AI</a>, imagine a courtroom.</p>
+<p>Judges hear and decide cases based on their general understanding of the law. Sometimes a case — like a malpractice suit or a labor dispute — requires special expertise, so judges send court clerks to a law library, looking for precedents and specific cases they can cite.</p>
+<p>Like a good judge, large language models (<a target="_blank" href="https://www.nvidia.com/en-us/glossary/data-science/large-language-models/">LLMs</a>) can respond to a wide variety of human queries. But to deliver authoritative answers that cite sources, the model needs an assistant to do some research.</p>
+<p>The court clerk of AI is a process called <a target="_blank" href="https://www.nvidia.com/en-us/glossary/retrieval-augmented-generation/">retrieval-augmented generation</a>, or RAG for short.</p>
+<h2><b>How It Got Named ‘RAG’</b></h2>
+<p>Patrick Lewis, lead author of the <a target="_blank" href="https://arxiv.org/pdf/2005.11401.pdf">2020 paper that coined the term</a>, apologized for the unflattering acronym that now describes a growing family of methods across hundreds of papers and dozens of commercial services he believes represent the future of generative AI.</p>
+<figure id="attachment_68128" aria-describedby="caption-attachment-68128" style="width: 250px" class="wp-caption alignleft"><a href="https://blogs.nvidia.com/wp-content/uploads/2023/11/Patrick-Lewis-RAG-lead-author.jpg"><img fetchpriority="high" decoding="async" class="wp-image-68128" src="https://blogs.nvidia.com/wp-content/uploads/2023/11/Patrick-Lewis-RAG-lead-author-150x150.jpg" alt="Picture of Patrick Lewis, lead author of RAG paper" width="250" height="267" srcset="https://blogs.nvidia.com/wp-content/uploads/2023/11/Patrick-Lewis-RAG-lead-author-202x215.jpg 202w, https://blogs.nvidia.com/wp-content/uploads/2023/11/Patrick-Lewis-RAG-lead-author-94x100.jpg 94w, https://blogs.nvidia.com/wp-content/uploads/2023/11/Patrick-Lewis-RAG-lead-author.jpg 375w" sizes="(max-width: 250px) 100vw, 250px" /></a><figcaption id="caption-attachment-68128" class="wp-caption-text">Patrick Lewis</figcaption></figure>
+<p>“We definitely would have put more thought into the name had we known our work would become so widespread,” Lewis said in an interview from Singapore, where he was sharing his ideas with a regional conference of database developers.</p>
+<p>“We always planned to have a nicer sounding name, but when it came time to write the paper, no one had a better idea,” said Lewis, who now leads a RAG team at AI startup Cohere.</p>
+<h2><b>So, What Is Retrieval-Augmented Generation (RAG)?</b></h2>
+<p>Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources.</p>
+<p>In other words, it fills a gap in how LLMs work. Under the hood, LLMs are neural networks, typically measured by how many parameters they contain. An LLM’s parameters essentially represent the general patterns of how humans use words to form sentences.</p>
+<p>That deep understanding, sometimes called parameterized knowledge, makes LLMs useful in responding to general prompts at light speed. However, it does not serve users who want a deeper dive into a current or more specific topic.</p>
+<h2><b>Combining Internal, External Resources</b></h2>
+<p>Lewis and colleagues developed retrieval-augmented generation to link generative AI services to external resources, especially ones rich in the latest technical details.</p>
+<p>The paper, with coauthors from the former Facebook AI Research (now Meta AI), University College London and New York University, called RAG “a general-purpose fine-tuning recipe” because it can be used by nearly any LLM to connect with practically any external resource.</p>
+<h2><b>Building User Trust</b></h2>
+<p>Retrieval-augmented generation gives models sources they can cite, like footnotes in a research paper, so users can check any claims. That builds trust.</p>
+<p>What’s more, the technique can help models clear up ambiguity in a user query. It also reduces the possibility a model will make a wrong guess, a phenomenon sometimes called hallucination.</p>
+<p>Another great advantage of RAG is it’s relatively easy. A <a target="_blank" href="https://ai.meta.com/blog/retrieval-augmented-generation-streamlining-the-creation-of-intelligent-natural-language-processing-models/">blog</a> by Lewis and three of the paper’s coauthors said developers can implement the process with as few as <a target="_blank" href="https://huggingface.co/facebook/rag-token-nq">five lines of code</a>.</p>
+<p>That makes the method faster and less expensive than retraining a model with additional datasets. And it lets users hot-swap new sources on the fly.</p>
+<h2><b>How People Are Using RAG</b></h2>
+<p>With retrieval-augmented generation, users can essentially have conversations with data repositories, opening up new kinds of experiences. This means the applications for RAG could be multiple times the number of available datasets.</p>
+<p>For example, a generative AI model supplemented with a medical index could be a great assistant for a doctor or nurse. Financial analysts would benefit from an assistant linked to market data.</p>
+<p>In fact, almost any business can turn its technical or policy manuals, videos or logs into resources called knowledge bases that can enhance LLMs. These sources can enable use cases such as customer or field support, employee training and developer productivity.</p>
+<p>The broad potential is why companies including <a target="_blank" href="https://aws.amazon.com/blogs/machine-learning/simplify-access-to-internal-information-using-retrieval-augmented-generation-and-langchain-agents/">AWS</a>, <a target="_blank" href="https://research.ibm.com/blog/retrieval-augmented-generation-RAG">IBM</a>, <a target="_blank" href="https://www.glean.com/">Glean</a>, Google, Microsoft, NVIDIA, <a target="_blank" href="https://www.oracle.com/artificial-intelligence/generative-ai/retrieval-augmented-generation-rag/">Oracle</a> and <a target="_blank" href="https://www.pinecone.io/learn/retrieval-augmented-generation/">Pinecone</a> are adopting RAG.</p>
+<h2><b>Getting Started With Retrieval-Augmented Generation </b></h2>
+<p>To help users get started, NVIDIA developed an <a target="_blank" href="https://www.nvidia.com/en-us/ai-data-science/ai-workflows/generative-ai-chatbots/">AI workflow for retrieval-augmented generation</a>. It includes a sample chatbot and the elements users need to create their own applications with this new method.</p>
+<p>The workflow uses <a target="_blank" href="https://www.nvidia.com/en-us/ai-data-science/generative-ai/nemo-framework/">NVIDIA NeMo</a>, a framework for developing and customizing generative AI models, as well as software like <a target="_blank" href="https://www.nvidia.com/en-us/ai-data-science/products/triton-inference-server/">NVIDIA Triton Inference Server</a> and <a target="_blank" href="https://developer.nvidia.com/blog/optimizing-inference-on-llms-with-tensorrt-llm-now-publicly-available/">NVIDIA TensorRT-LLM</a> for running generative AI models in production.</p>
+<p>The software components are all part of <a target="_blank" href="https://www.nvidia.com/en-us/data-center/products/ai-enterprise/">NVIDIA AI Enterprise</a>, a software platform that accelerates development and deployment of production-ready AI with the security, support and stability businesses need.</p>
+<p>Getting the best performance for RAG workflows requires massive amounts of memory and compute to move and process data. The <a target="_blank" href="https://nvidianews.nvidia.com/news/gh200-grace-hopper-superchip-with-hbm3e-memory">NVIDIA GH200 Grace Hopper Superchip</a>, with its 288GB of fast HBM3e memory and 8 petaflops of compute, is ideal — it can deliver a 150x speedup over using a CPU.</p>
+<p>Once companies get familiar with RAG, they can combine a variety of off-the-shelf or custom LLMs with internal or external knowledge bases to create a wide range of assistants that help their employees and customers.</p>
+<p>RAG doesn’t require a data center. LLMs are debuting on Windows PCs, thanks to NVIDIA software that enables all sorts of applications users can access even on their laptops.</p>
+<figure id="attachment_68134" aria-describedby="caption-attachment-68134" style="width: 1200px" class="wp-caption aligncenter"><a href="https://blogs.nvidia.com/wp-content/uploads/2023/11/Using-RAG-on-PCs.jpg"><img decoding="async" class="size-full wp-image-68134" src="https://blogs.nvidia.com/wp-content/uploads/2023/11/Using-RAG-on-PCs.jpg" alt="Chart shows running RAG on a PC" width="1200" height="659" srcset="https://blogs.nvidia.com/wp-content/uploads/2023/11/Using-RAG-on-PCs.jpg 1200w, https://blogs.nvidia.com/wp-content/uploads/2023/11/Using-RAG-on-PCs-400x220.jpg 400w, https://blogs.nvidia.com/wp-content/uploads/2023/11/Using-RAG-on-PCs-672x369.jpg 672w, https://blogs.nvidia.com/wp-content/uploads/2023/11/Using-RAG-on-PCs-768x422.jpg 768w, https://blogs.nvidia.com/wp-content/uploads/2023/11/Using-RAG-on-PCs-819x450.jpg 819w, https://blogs.nvidia.com/wp-content/uploads/2023/11/Using-RAG-on-PCs-392x215.jpg 392w, https://blogs.nvidia.com/wp-content/uploads/2023/11/Using-RAG-on-PCs-182x100.jpg 182w" sizes="(max-width: 1200px) 100vw, 1200px" /></a><figcaption id="caption-attachment-68134" class="wp-caption-text">An example application for RAG on a PC.</figcaption></figure>
+<p>PCs equipped with NVIDIA RTX GPUs can now run some AI models locally. By using RAG on a PC, users can link to a private knowledge source – whether that be emails, notes or articles – to improve responses. The user can then feel confident that their data source, prompts and response all remain private and secure.</p>
+<p>A<a target="_blank" href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fblogs.nvidia.com%2Fblog%2F2023%2F10%2F17%2Ftensorrt-llm-windows-stable-diffusion-rtx%2F&amp;data=05%7C01%7Crmerritt%40nvidia.com%7Cdfd2267cb8344597f73408dbd0e6fc36%7C43083d15727340c1b7db39efd9ccc17a%7C0%7C0%7C638333462716560839%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=V5FClNyBybzOnm3%2FKxiTT4i9aoT0GdLWzdLfnF8LBk0%3D&amp;reserved=0"> recent blog</a> provides an example of RAG accelerated by TensorRT-LLM for Windows to get better results fast.</p>
+<h2><b>The History of RAG </b></h2>
+<p>The roots of the technique go back at least to the early 1970s. That’s when researchers in information retrieval prototyped what they called question-answering systems, apps that use natural language processing (<a target="_blank" href="https://www.nvidia.com/en-us/glossary/natural-language-processing/">NLP</a>) to access text, initially in narrow topics such as baseball.</p>
+<p>The concepts behind this kind of text mining have remained fairly constant over the years. But the machine learning engines driving them have grown significantly, increasing their usefulness and popularity.</p>
+<p>In the mid-1990s, the Ask Jeeves service, now Ask.com, popularized question answering with its mascot of a well-dressed valet. IBM’s Watson became a TV celebrity in 2011 when it handily beat two human champions on the <i>Jeopardy!</i> game show.</p>
+<p><a href="https://blogs.nvidia.com/wp-content/uploads/2023/11/Ask-Jeeves-2.jpg"><img decoding="async" class="aligncenter size-full wp-image-68140" src="https://blogs.nvidia.com/wp-content/uploads/2023/11/Ask-Jeeves-2.jpg" alt="Picture of Ask Jeeves, an early RAG-like web service" width="620" height="334" srcset="https://blogs.nvidia.com/wp-content/uploads/2023/11/Ask-Jeeves-2.jpg 620w, https://blogs.nvidia.com/wp-content/uploads/2023/11/Ask-Jeeves-2-400x215.jpg 400w, https://blogs.nvidia.com/wp-content/uploads/2023/11/Ask-Jeeves-2-399x215.jpg 399w, https://blogs.nvidia.com/wp-content/uploads/2023/11/Ask-Jeeves-2-186x100.jpg 186w" sizes="(max-width: 620px) 100vw, 620px" /></a></p>
+<p>Today, LLMs are taking question-answering systems to a whole new level.</p>
+<h2><b>Insights From a London Lab</b></h2>
+<p>The seminal 2020 paper arrived as Lewis was pursuing a doctorate in NLP at University College London and working for Meta at a new London AI lab. The team was searching for ways to pack more knowledge into an LLM’s parameters and using a benchmark it developed to measure its progress.</p>
+<p>Building on earlier methods and inspired by <a target="_blank" href="https://arxiv.org/pdf/2002.08909.pdf">a paper</a> from Google researchers, the group “had this compelling vision of a trained system that had a retrieval index in the middle of it, so it could learn and generate any text output you wanted,” Lewis recalled.</p>
+<figure id="attachment_68146" aria-describedby="caption-attachment-68146" style="width: 1280px" class="wp-caption aligncenter"><a href="https://blogs.nvidia.com/wp-content/uploads/2023/11/IBM-Watson-wins-Jeopardy-YT.jpg"><img loading="lazy" decoding="async" class="wp-image-68146 size-full" src="https://blogs.nvidia.com/wp-content/uploads/2023/11/IBM-Watson-wins-Jeopardy-YT.jpg" alt="Picture of IBM Watson winning on &quot;Jeopardy&quot; TV show, popularizing a RAG-like AI service" width="1280" height="720" srcset="https://blogs.nvidia.com/wp-content/uploads/2023/11/IBM-Watson-wins-Jeopardy-YT.jpg 1280w, https://blogs.nvidia.com/wp-content/uploads/2023/11/IBM-Watson-wins-Jeopardy-YT-400x225.jpg 400w, https://blogs.nvidia.com/wp-content/uploads/2023/11/IBM-Watson-wins-Jeopardy-YT-672x378.jpg 672w, https://blogs.nvidia.com/wp-content/uploads/2023/11/IBM-Watson-wins-Jeopardy-YT-768x432.jpg 768w, https://blogs.nvidia.com/wp-content/uploads/2023/11/IBM-Watson-wins-Jeopardy-YT-800x450.jpg 800w, https://blogs.nvidia.com/wp-content/uploads/2023/11/IBM-Watson-wins-Jeopardy-YT-382x215.jpg 382w, https://blogs.nvidia.com/wp-content/uploads/2023/11/IBM-Watson-wins-Jeopardy-YT-178x100.jpg 178w" sizes="(max-width: 1280px) 100vw, 1280px" /></a><figcaption id="caption-attachment-68146" class="wp-caption-text">The IBM Watson question-answering system became a celebrity when it won big on the TV game show Jeopardy!</figcaption></figure>
+<p>When Lewis plugged into the work in progress a promising retrieval system from another Meta team, the first results were unexpectedly impressive.</p>
+<p>“I showed my supervisor and he said, ‘Whoa, take the win. This sort of thing doesn’t happen very often,’ because these workflows can be hard to set up correctly the first time,” he said.</p>
+<p>Lewis also credits major contributions from team members Ethan Perez and Douwe Kiela, then of New York University and Facebook AI Research, respectively.</p>
+<p>When complete, the work, which ran on a cluster of NVIDIA GPUs, showed how to make generative AI models more authoritative and <a href="https://blogs.nvidia.com/blog/what-is-trustworthy-ai/">trustworthy</a>. It’s since been cited by hundreds of papers that amplified and extended the concepts in what continues to be an active area of research.</p>
+<h2><b>How Retrieval-Augmented Generation Works</b></h2>
+<p>At a high level, here’s how an <a target="_blank" href="https://docs.nvidia.com/ai-enterprise/workflows-generative-ai/0.1.0/technical-brief.html">NVIDIA technical brief</a> describes the RAG process.</p>
+<p>When users ask an LLM a question, the AI model sends the query to another model that converts it into a numeric format so machines can read it. The numeric version of the query is sometimes called an embedding or a vector.</p>
+<figure id="attachment_68152" aria-describedby="caption-attachment-68152" style="width: 2048px" class="wp-caption aligncenter"><a href="https://blogs.nvidia.com/wp-content/uploads/2023/11/NVIDIA-RAG-diagram-scaled.jpg"><img loading="lazy" decoding="async" class="wp-image-68152 size-full" src="https://blogs.nvidia.com/wp-content/uploads/2023/11/NVIDIA-RAG-diagram-scaled.jpg" alt="NVIDIA diagram of how RAG works with LLMs" width="2048" height="901" srcset="https://blogs.nvidia.com/wp-content/uploads/2023/11/NVIDIA-RAG-diagram-scaled.jpg 2048w, https://blogs.nvidia.com/wp-content/uploads/2023/11/NVIDIA-RAG-diagram-400x176.jpg 400w, https://blogs.nvidia.com/wp-content/uploads/2023/11/NVIDIA-RAG-diagram-672x296.jpg 672w, https://blogs.nvidia.com/wp-content/uploads/2023/11/NVIDIA-RAG-diagram-768x338.jpg 768w, https://blogs.nvidia.com/wp-content/uploads/2023/11/NVIDIA-RAG-diagram-1536x676.jpg 1536w, https://blogs.nvidia.com/wp-content/uploads/2023/11/NVIDIA-RAG-diagram-842x370.jpg 842w, https://blogs.nvidia.com/wp-content/uploads/2023/11/NVIDIA-RAG-diagram-406x179.jpg 406w, https://blogs.nvidia.com/wp-content/uploads/2023/11/NVIDIA-RAG-diagram-188x83.jpg 188w, https://blogs.nvidia.com/wp-content/uploads/2023/11/NVIDIA-RAG-diagram-1280x563.jpg 1280w" sizes="(max-width: 2048px) 100vw, 2048px" /></a><figcaption id="caption-attachment-68152" class="wp-caption-text">Retrieval-augmented generation combines LLMs with embedding models and <a target="_blank" href="https://www.nvidia.com/en-us/glossary/vector-database/">vector databases</a>.</figcaption></figure>
+<p>The embedding model then compares these numeric values to vectors in a machine-readable index of an available knowledge base. When it finds a match or multiple matches, it retrieves the related data, converts it to human-readable words and passes it back to the LLM.</p>
+<p>Finally, the LLM combines the retrieved words and its own response to the query into a final answer it presents to the user, potentially citing sources the embedding model found.</p>
+<h2><b>Keeping Sources Current</b></h2>
+<p>In the background, the embedding model continuously creates and updates machine-readable indices, sometimes called vector databases, for new and updated knowledge bases as they become available.</p>
+<figure id="attachment_68149" aria-describedby="caption-attachment-68149" style="width: 672px" class="wp-caption aligncenter"><a href="https://blogs.nvidia.com/wp-content/uploads/2023/11/LangChain-2-LLM-with-a-retriveal-process.jpg"><img loading="lazy" decoding="async" class="size-large wp-image-68149" src="https://blogs.nvidia.com/wp-content/uploads/2023/11/LangChain-2-LLM-with-a-retriveal-process-672x268.jpg" alt="Chart of a RAG process described by LangChain" width="672" height="268" srcset="https://blogs.nvidia.com/wp-content/uploads/2023/11/LangChain-2-LLM-with-a-retriveal-process-672x268.jpg 672w, https://blogs.nvidia.com/wp-content/uploads/2023/11/LangChain-2-LLM-with-a-retriveal-process-400x159.jpg 400w, https://blogs.nvidia.com/wp-content/uploads/2023/11/LangChain-2-LLM-with-a-retriveal-process-768x306.jpg 768w, https://blogs.nvidia.com/wp-content/uploads/2023/11/LangChain-2-LLM-with-a-retriveal-process-842x335.jpg 842w, https://blogs.nvidia.com/wp-content/uploads/2023/11/LangChain-2-LLM-with-a-retriveal-process-406x162.jpg 406w, https://blogs.nvidia.com/wp-content/uploads/2023/11/LangChain-2-LLM-with-a-retriveal-process-188x75.jpg 188w, https://blogs.nvidia.com/wp-content/uploads/2023/11/LangChain-2-LLM-with-a-retriveal-process-1280x510.jpg 1280w, https://blogs.nvidia.com/wp-content/uploads/2023/11/LangChain-2-LLM-with-a-retriveal-process.jpg 1386w" sizes="(max-width: 672px) 100vw, 672px" /></a><figcaption id="caption-attachment-68149" class="wp-caption-text">Retrieval-augmented generation combines LLMs with embedding models and vector databases.</figcaption></figure>
+<p>Many developers find LangChain, an open-source library, can be particularly useful in chaining together LLMs, embedding models and knowledge bases. NVIDIA uses LangChain in its reference architecture for retrieval-augmented generation.</p>
+<p>The LangChain community provides its own <a target="_blank" href="https://blog.langchain.dev/tutorial-chatgpt-over-your-data/">description of a RAG process</a>.</p>
+<p>Looking forward, the future of generative AI lies in creatively chaining all sorts of LLMs and knowledge bases together to create new kinds of assistants that deliver authoritative results users can verify.</p>
+<p>Get a hands on using retrieval-augmented generation with an AI chatbot in this <a target="_blank" href="https://www.nvidia.com/en-us/launchpad/ai/generative-ai-knowledge-base-chatbot/">NVIDIA LaunchPad lab</a>.</p>
+<p><em>Explore <a title="Original URL: https://www.nvidia.com/gtc/sessions/generative-ai/?nvid=nv-int-txtad-141445 Click to follow link." target="_blank" href="https://www.nvidia.com/gtc/sessions/generative-ai/?nvid=nv-int-txtad-141445" data-outlook-id="97194cbf-406f-48c7-a83a-cd48b46329c6">generative AI</a> sessions and experiences at <a target="_blank" href="https://www.nvidia.com/gtc/">NVIDIA GTC</a>, the global conference on AI and accelerated computing, running March 18-21 in San Jose, Calif., and online.</em></p>
+<div class="has-social-placeholder has-content-area" data-url="https://blogs.nvidia.com/blog/what-is-retrieval-augmented-generation/" data-title="What Is Retrieval-Augmented Generation, aka RAG?" data-hashtags="" data-post-id="67360"></div>
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overflow-auto pr-8 pb-10" id="sidebar-content"><div class="relative lg:text-sm lg:leading-6"><div class="sticky top-0 h-8 bg-gradient-to-b from-background-light dark:from-background-dark"></div><ul id="navigation-items"><li><a href="https://discord.gg/p6KqD2kjtB" target="_blank" rel="noreferrer" class="pl-4 group flex items-center lg:text-sm lg:leading-6 mb-5 sm:mb-4 font-medium text-gray-600 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300"><div class="mr-4 rounded-md p-1 zinc-box group-hover:brightness-100 group-hover:ring-0 ring-1 ring-gray-950/5 dark:ring-gray-700/40"><svg class="h-4 w-4 secondary-opacity group-hover:fill-primary-dark group-hover:bg-white bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/brands/discord.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg></div>Community</a></li><div class="mt-12 lg:mt-8"><h5 class="pl-4 mb-3.5 lg:mb-2.5 font-semibold text-gray-900 dark:text-gray-200">Get Started</h5><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/introduction"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/flag-checkered.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Introduction</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg bg-primary/10 text-primary font-semibold dark:text-primary-light dark:bg-primary-light/10" style="padding-left:1rem" href="/installation"><svg class="h-4 w-4 bg-primary dark:bg-primary-light" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/bars-progress.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Installation</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/quickstart"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/bolt.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Quickstart</div></div></a></li><li><div class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/code.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div>API &amp; SDKs</div><svg width="3" height="24" viewBox="0 -9 3 24" class="transition-transform text-gray-400 overflow-visible group-hover:text-gray-600 dark:text-gray-600 dark:group-hover:text-gray-400"><path d="M0 0L3 3L0 6" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round"></path></svg></div></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/local-rag"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/house.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Local LLM RAG</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/whats-new"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/bell.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>What&#x27;s New</div></div></a></li></div><div class="mt-12 lg:mt-8"><h5 class="pl-4 mb-3.5 lg:mb-2.5 font-semibold text-gray-900 dark:text-gray-200">RAG Cookbooks</h5><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/basic-configuration"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/language.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Basic Configuration</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/walkthrough"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/traffic-light-slow.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Walkthrough</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/knowledge-graph"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/diagram-project.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Knowledge Graphs</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/hybrid-search"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/magnifying-glass.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Hybrid Search</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/advanced-rag"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/wand-magic-sparkles.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Advanced RAG</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/agent"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/robot.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Agents</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/multimodal"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/eye.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Multimodal RAG</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/web-dev"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/window.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Web Development</div></div></a></li></div><div class="mt-12 lg:mt-8"><h5 class="pl-4 mb-3.5 lg:mb-2.5 font-semibold text-gray-900 dark:text-gray-200">Auth &amp; Admin Cookbooks</h5><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/user-auth"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/users-gear.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>User Auth</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/observability"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/telescope.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Analytics &amp; Observability</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/application"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/display.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Application</div></div></a></li></div><div class="mt-12 lg:mt-8"><h5 class="pl-4 mb-3.5 lg:mb-2.5 font-semibold text-gray-900 dark:text-gray-200">Deep Dives</h5><li><div class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem"><div>R2R Main</div><svg width="3" height="24" viewBox="0 -9 3 24" class="transition-transform text-gray-400 overflow-visible group-hover:text-gray-600 dark:text-gray-600 dark:group-hover:text-gray-400"><path d="M0 0L3 3L0 6" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round"></path></svg></div></li><li><div class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem"><div>Providers</div><svg width="3" height="24" viewBox="0 -9 3 24" class="transition-transform text-gray-400 overflow-visible group-hover:text-gray-600 dark:text-gray-600 dark:group-hover:text-gray-400"><path d="M0 0L3 3L0 6" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round"></path></svg></div></li><li><div class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem"><div>Pipelines</div><svg width="3" height="24" viewBox="0 -9 3 24" class="transition-transform text-gray-400 overflow-visible group-hover:text-gray-600 dark:text-gray-600 dark:group-hover:text-gray-400"><path d="M0 0L3 3L0 6" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round"></path></svg></div></li><li><div class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem"><div>Other</div><svg width="3" height="24" viewBox="0 -9 3 24" class="transition-transform text-gray-400 overflow-visible group-hover:text-gray-600 dark:text-gray-600 dark:group-hover:text-gray-400"><path d="M0 0L3 3L0 6" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round"></path></svg></div></li></div></ul></div></div></div><div class="" id="content-container"><div class="flex flex-row items-stretch gap-12 pt-40 lg:pt-10"><div class="relative grow overflow-hidden mx-auto px-1 lg:-ml-12 lg:pl-[23.7rem]" id="content-area"><header id="header" class="relative"><div class="mt-0.5 space-y-2.5"><div class="eyebrow h-5 text-primary dark:text-primary-light text-sm font-semibold">Get Started</div><div class="flex items-center"><h1 class="inline-block text-2xl sm:text-3xl font-extrabold text-gray-900 tracking-tight dark:text-gray-200">Installation</h1></div></div><div class="mt-2 text-lg prose prose-gray dark:prose-invert"><p>Run R2R in your local environment or with Docker</p></div></header><div class="flex flex-col gap-8"><div class="flex flex-col gap-6 xl:hidden"></div></div><div class="relative mt-8 prose prose-gray dark:prose-invert"><h2 class="flex whitespace-pre-wrap group" id="why-choose-r2r"><div class="absolute"><a href="#why-choose-r2r" class="-ml-10 flex items-center opacity-0 border-0 group-hover:opacity-100" aria-label="Navigate to header">​<div class="w-6 h-6 text-gray-400 rounded-md flex items-center justify-center zinc-box bg-white ring-1 ring-gray-400/30 dark:ring-gray-700/25 hover:ring-gray-400/60 dark:hover:ring-white/20"><svg xmlns="http://www.w3.org/2000/svg" fill="gray" height="12px" viewBox="0 0 576 512"><path d="M0 256C0 167.6 71.6 96 160 96h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C98.1 144 48 194.1 48 256s50.1 112 112 112h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C71.6 416 0 344.4 0 256zm576 0c0 88.4-71.6 160-160 160H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c61.9 0 112-50.1 112-112s-50.1-112-112-112H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c88.4 0 160 71.6 160 160zM184 232H392c13.3 0 24 10.7 24 24s-10.7 24-24 24H184c-13.3 0-24-10.7-24-24s10.7-24 24-24z"></path></svg></div></a></div><span class="cursor-pointer">Why Choose R2R?</span></h2>
+<p>Welcome to the R2R installation guide, here is what R2R can offer for your RAG application:</p>
+<ul>
+<li><strong>Flexibility</strong>: Run with cloud-based LLMs or entirely on your local machine</li>
+<li><strong>SoTA</strong>: Advanced RAG techniques like hybrid search, GraphRAG, and agentic RAG.</li>
+<li><strong>User-Features</strong>: Features like authentication, document management, user &amp; group permissioning, and more.</li>
+</ul>
+<div class="my-4 px-5 py-4 overflow-hidden rounded-xl flex gap-3 border border-emerald-500/20 bg-emerald-50/50 dark:border-emerald-500/30 dark:bg-emerald-500/10"><div class="mt-0.5 w-4"><svg width="11" height="14" viewBox="0 0 11 14" fill="currentColor" xmlns="http://www.w3.org/2000/svg" class="text-emerald-600 dark:text-emerald-400/80 w-3.5 h-auto" aria-label="Tip"><path d="M3.12794 12.4232C3.12794 12.5954 3.1776 12.7634 3.27244 12.907L3.74114 13.6095C3.88471 13.8248 4.21067 14 4.46964 14H6.15606C6.41415 14 6.74017 13.825 6.88373 13.6095L7.3508 12.9073C7.43114 12.7859 7.49705 12.569 7.49705 12.4232L7.50055 11.3513H3.12521L3.12794 12.4232ZM5.31288 0C2.52414 0.00875889 0.5 2.26889 0.5 4.78826C0.5 6.00188 0.949566 7.10829 1.69119 7.95492C2.14321 8.47011 2.84901 9.54727 3.11919 10.4557C3.12005 10.4625 3.12175 10.4698 3.12261 10.4771H7.50342C7.50427 10.4698 7.50598 10.463 7.50684 10.4557C7.77688 9.54727 8.48281 8.47011 8.93484 7.95492C9.67728 7.13181 10.1258 6.02703 10.1258 4.78826C10.1258 2.15486 7.9709 0.000106649 5.31288 0ZM7.94902 7.11267C7.52078 7.60079 6.99082 8.37878 6.6077 9.18794H4.02051C3.63739 8.37878 3.10743 7.60079 2.67947 7.11294C2.11997 6.47551 1.8126 5.63599 1.8126 4.78826C1.8126 3.09829 3.12794 1.31944 5.28827 1.3126C7.2435 1.3126 8.81315 2.88226 8.81315 4.78826C8.81315 5.63599 8.50688 6.47551 7.94902 7.11267ZM4.87534 2.18767C3.66939 2.18767 2.68767 3.16939 2.68767 4.37534C2.68767 4.61719 2.88336 4.81288 3.12521 4.81288C3.36705 4.81288 3.56274 4.61599 3.56274 4.37534C3.56274 3.6515 4.1515 3.06274 4.87534 3.06274C5.11719 3.06274 5.31288 2.86727 5.31288 2.62548C5.31288 2.38369 5.11599 2.18767 4.87534 2.18767Z"></path></svg></div><div class="text-sm prose min-w-0 text-emerald-900 dark:text-emerald-200">SciPhi Cloud includes a generous free tier and is the quickest way to get up and running with R2R. Check out the <a href="/sciphi-cloud/deploy">documentation here</a> to skip the local installation! </div></div>
+<h2 class="flex whitespace-pre-wrap group" id="install-the-r2r-cli"><div class="absolute"><a href="#install-the-r2r-cli" class="-ml-10 flex items-center opacity-0 border-0 group-hover:opacity-100" aria-label="Navigate to header">​<div class="w-6 h-6 text-gray-400 rounded-md flex items-center justify-center zinc-box bg-white ring-1 ring-gray-400/30 dark:ring-gray-700/25 hover:ring-gray-400/60 dark:hover:ring-white/20"><svg xmlns="http://www.w3.org/2000/svg" fill="gray" height="12px" viewBox="0 0 576 512"><path d="M0 256C0 167.6 71.6 96 160 96h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C98.1 144 48 194.1 48 256s50.1 112 112 112h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C71.6 416 0 344.4 0 256zm576 0c0 88.4-71.6 160-160 160H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c61.9 0 112-50.1 112-112s-50.1-112-112-112H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c88.4 0 160 71.6 160 160zM184 232H392c13.3 0 24 10.7 24 24s-10.7 24-24 24H184c-13.3 0-24-10.7-24-24s10.7-24 24-24z"></path></svg></div></a></div><span class="cursor-pointer">Install the R2R CLI</span></h2>
+<p>Let’s begin with installing the R2R CLI, the gateway to interacting with your R2R system.</p>
+<div class="mt-5 mb-8 not-prose bg-[#0F1117] dark:bg-codeblock rounded-xl dark:ring-1 dark:ring-gray-800/50 relative"><div class="text-gray-50 p-5 min-w-full text-sm leading-6 overflow-x-auto children:!my-0 children:!shadow-none children:!bg-transparent" style="font-variant-ligatures:none"><pre class="language-bash"><code class="language-bash">pip <span class="token function">install</span> r2r
+</code></pre></div></div>
+<h2 class="flex whitespace-pre-wrap group" id="start-r2r-with-docker"><div class="absolute"><a href="#start-r2r-with-docker" class="-ml-10 flex items-center opacity-0 border-0 group-hover:opacity-100" aria-label="Navigate to header">​<div class="w-6 h-6 text-gray-400 rounded-md flex items-center justify-center zinc-box bg-white ring-1 ring-gray-400/30 dark:ring-gray-700/25 hover:ring-gray-400/60 dark:hover:ring-white/20"><svg xmlns="http://www.w3.org/2000/svg" fill="gray" height="12px" viewBox="0 0 576 512"><path d="M0 256C0 167.6 71.6 96 160 96h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C98.1 144 48 194.1 48 256s50.1 112 112 112h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C71.6 416 0 344.4 0 256zm576 0c0 88.4-71.6 160-160 160H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c61.9 0 112-50.1 112-112s-50.1-112-112-112H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c88.4 0 160 71.6 160 160zM184 232H392c13.3 0 24 10.7 24 24s-10.7 24-24 24H184c-13.3 0-24-10.7-24-24s10.7-24 24-24z"></path></svg></div></a></div><span class="cursor-pointer">Start R2R with Docker</span></h2>
+<p>The following guide assumes that Docker has already been installed on your system. Refer to the Docker <a href="https://docs.docker.com/engine/install/" target="_blank" rel="noreferrer">documentation here for installation help</a>.</p>
+<div class="my-4 px-5 py-4 overflow-hidden rounded-xl flex gap-3 border border-sky-500/20 bg-sky-50/50 dark:border-sky-500/30 dark:bg-sky-500/10"><div class="mt-0.5 w-4"><svg width="14" height="14" viewBox="0 0 14 14" fill="currentColor" xmlns="http://www.w3.org/2000/svg" class="w-4 h-4 text-sky-500" aria-label="Note"><path fill-rule="evenodd" clip-rule="evenodd" d="M7 1.3C10.14 1.3 12.7 3.86 12.7 7C12.7 10.14 10.14 12.7 7 12.7C5.48908 12.6974 4.0408 12.096 2.97241 11.0276C1.90403 9.9592 1.30264 8.51092 1.3 7C1.3 3.86 3.86 1.3 7 1.3ZM7 0C3.14 0 0 3.14 0 7C0 10.86 3.14 14 7 14C10.86 14 14 10.86 14 7C14 3.14 10.86 0 7 0ZM8 3H6V8H8V3ZM8 9H6V11H8V9Z"></path></svg></div><div class="text-sm prose min-w-0 text-sky-900 dark:text-sky-200"><p>Neo4j and Postgres come bundled into the R2R Docker by default. If you prefer to use your own deployments of either, you may optionally include the flags <code>--exclude-neo4j</code> and/or <code>--exclude-postgres</code>.</p><p>Excluding postgres requires that a valid configuration be selected, such as <code>r2r/examples/neo4j_kg_no_vector_postgres.toml</code>.</p></div></div>
+<div class="[&amp;&gt;div]:border-0 [&amp;&gt;div]:rounded-none [&amp;&gt;div&gt;button]:rounded-none [&amp;&gt;div]:mb-0 overflow-hidden mt-0 mb-3 rounded-xl prose prose-gray dark:prose-invert divide-y divide-inherit border dark:border-gray-800/50" role="list"><div role="listitem" class="border dark:border-white/10 rounded-xl mb-3 overflow-hidden dark:bg-codeblock"><button class="relative not-prose flex flex-row items-center content-center w-full py-4 px-5 space-x-2 hover:bg-gray-100 hover:dark:bg-gray-800 rounded-t-xl" aria-controls="Cloud LLM RAGChildren" aria-expanded="true"><div id="cloud-llm-rag" class="absolute -top-[8rem]"></div><div class="mr-0.5"><svg class="h-3 w-3 transition bg-gray-700 dark:bg-gray-400 duration-200 rotate-90 -mt-1" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/solid/caret-right.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg></div><div class="h-4 w-4 fill-gray-800 dark:fill-gray-100 text-gray-800 dark:text-gray-100"><svg class="w-4 h-4 bg-gray-800 dark:bg-gray-100" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/cloud.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg></div><div class="leading-tight text-left"><p class="m-0 font-medium text-gray-900 dark:text-gray-200">Cloud LLM RAG</p></div></button><div class="mt-2 mb-4 mx-6"><p>To start R2R with OpenAI as the default LLM inference provider:</p><div class="mt-5 mb-8 not-prose bg-[#0F1117] dark:bg-codeblock rounded-xl dark:ring-1 dark:ring-gray-800/50 relative"><div class="text-gray-50 p-5 min-w-full text-sm leading-6 overflow-x-auto children:!my-0 children:!shadow-none children:!bg-transparent" style="font-variant-ligatures:none"><pre class="language-bash"><code class="language-bash"><span class="token comment"># Set cloud LLM settings</span>
+<span class="token builtin class-name">export</span> <span class="token assign-left variable">OPENAI_API_KEY</span><span class="token operator">=</span>sk-<span class="token punctuation">..</span>.
+
+r2r --config-name<span class="token operator">=</span>default serve <span class="token parameter variable">--docker</span>
+</code></pre></div></div></div></div><div role="listitem" class="border dark:border-white/10 rounded-xl mb-3 overflow-hidden dark:bg-codeblock"><button class="relative not-prose flex flex-row items-center content-center w-full py-4 px-5 space-x-2 hover:bg-gray-100 hover:dark:bg-gray-800 rounded-t-xl" aria-controls="Local LLM RAGChildren" aria-expanded="true"><div id="local-llm-rag" class="absolute -top-[8rem]"></div><div class="mr-0.5"><svg class="h-3 w-3 transition bg-gray-700 dark:bg-gray-400 duration-200 rotate-90 -mt-1" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/solid/caret-right.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg></div><div class="h-4 w-4 fill-gray-800 dark:fill-gray-100 text-gray-800 dark:text-gray-100"><svg class="w-4 h-4 bg-gray-800 dark:bg-gray-100" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/house.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg></div><div class="leading-tight text-left"><p class="m-0 font-medium text-gray-900 dark:text-gray-200">Local LLM RAG</p></div></button><div class="mt-2 mb-4 mx-6"><p>To start R2R with your local computer as the default LLM inference provider:</p><div class="mt-5 mb-8 not-prose bg-[#0F1117] dark:bg-codeblock rounded-xl dark:ring-1 dark:ring-gray-800/50 relative"><div class="text-gray-50 p-5 min-w-full text-sm leading-6 overflow-x-auto children:!my-0 children:!shadow-none children:!bg-transparent" style="font-variant-ligatures:none"><pre class="language-bash"><code class="language-bash">r2r --config-name<span class="token operator">=</span>local_llm serve <span class="token parameter variable">--docker</span>
+
+</code></pre></div></div><p>Then, in a separate terminal you will need to run Ollama to provide completions:</p><div class="mt-5 mb-8 not-prose bg-[#0F1117] dark:bg-codeblock rounded-xl dark:ring-1 dark:ring-gray-800/50 relative"><div class="text-gray-50 p-5 min-w-full text-sm leading-6 overflow-x-auto children:!my-0 children:!shadow-none children:!bg-transparent" style="font-variant-ligatures:none"><pre class="language-bash"><code class="language-bash">  ollama pull llama3.1
+  ollama pull mxbai-embed-large
+  ollama serve
+</code></pre></div></div><p>The code above assumes that Ollama has already been installed. If you have not yet done so, then refer to the official Ollama webpage <a href="https://ollama.com/download" target="_blank" rel="noreferrer">for installation instructions</a>.</p></div></div><div role="listitem" class="border dark:border-white/10 rounded-xl mb-3 overflow-hidden dark:bg-codeblock"><button class="relative not-prose flex flex-row items-center content-center w-full py-4 px-5 space-x-2 hover:bg-gray-100 hover:dark:bg-gray-800 rounded-t-xl" aria-controls="Custom ConfigurationChildren" aria-expanded="true"><div id="custom-configuration" class="absolute -top-[8rem]"></div><div class="mr-0.5"><svg class="h-3 w-3 transition bg-gray-700 dark:bg-gray-400 duration-200 rotate-90 -mt-1" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/solid/caret-right.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg></div><div class="h-4 w-4 fill-gray-800 dark:fill-gray-100 text-gray-800 dark:text-gray-100"><svg class="w-4 h-4 bg-gray-800 dark:bg-gray-100" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/gear.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg></div><div class="leading-tight text-left"><p class="m-0 font-medium text-gray-900 dark:text-gray-200">Custom Configuration</p></div></button><div class="mt-2 mb-4 mx-6"><p>R2R offers flexibility in selecting and configuring LLMs, allowing you to optimize your RAG pipeline for various use cases. Execute the command below run deploy R2R with your own custom configuration:</p><div class="mt-5 mb-8 not-prose bg-[#0F1117] dark:bg-codeblock rounded-xl dark:ring-1 dark:ring-gray-800/50 relative"><div class="text-gray-50 p-5 min-w-full text-sm leading-6 overflow-x-auto children:!my-0 children:!shadow-none children:!bg-transparent" style="font-variant-ligatures:none"><pre class="language-bash"><code class="language-bash">r2r --config-path<span class="token operator">=</span>/abs/path/to/my_r2r.toml serve
+</code></pre></div></div><p>Refer to the <a href="/cookbooks/basic-configuration">basic configuration</a> cookbook for more customization options.</p></div></div></div>
+<p>The above command will automatically pull the necessary Docker images and start all the required containers, including <code>R2R</code>, <code>Neo4j</code>, <code>Postgres+pgvector</code>.</p>
+<p>The end result is a live server at <a href="http://localhost:8000" target="_blank" rel="noreferrer">http://localhost:8000</a> serving the <a href="/api-reference/introduction">R2R API</a>.</p>
+<p>In addition to launching a RESTful API, the R2R Docker also launches an application at <code>localhost</code>, which you can <a href="/cookbooks/application">read more about here</a>. You should continue on to the <a href="/quickstart">quickstart guide</a> as soon as the server is up and running.</p>
+<h3 class="flex whitespace-pre-wrap group" id="stopping-r2r"><div class="absolute"><a href="#stopping-r2r" class="-ml-10 flex items-center opacity-0 border-0 group-hover:opacity-100" aria-label="Navigate to header">​<div class="w-6 h-6 text-gray-400 rounded-md flex items-center justify-center zinc-box bg-white ring-1 ring-gray-400/30 dark:ring-gray-700/25 hover:ring-gray-400/60 dark:hover:ring-white/20"><svg xmlns="http://www.w3.org/2000/svg" fill="gray" height="12px" viewBox="0 0 576 512"><path d="M0 256C0 167.6 71.6 96 160 96h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C98.1 144 48 194.1 48 256s50.1 112 112 112h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C71.6 416 0 344.4 0 256zm576 0c0 88.4-71.6 160-160 160H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c61.9 0 112-50.1 112-112s-50.1-112-112-112H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c88.4 0 160 71.6 160 160zM184 232H392c13.3 0 24 10.7 24 24s-10.7 24-24 24H184c-13.3 0-24-10.7-24-24s10.7-24 24-24z"></path></svg></div></a></div><span class="cursor-pointer">Stopping R2R</span></h3>
+<p>Safely stop your system by running <code>r2r docker-down</code> to avoid potential shutdown complications.</p>
+<h2 class="flex whitespace-pre-wrap group" id="alternative-installation-methods"><div class="absolute"><a href="#alternative-installation-methods" class="-ml-10 flex items-center opacity-0 border-0 group-hover:opacity-100" aria-label="Navigate to header">​<div class="w-6 h-6 text-gray-400 rounded-md flex items-center justify-center zinc-box bg-white ring-1 ring-gray-400/30 dark:ring-gray-700/25 hover:ring-gray-400/60 dark:hover:ring-white/20"><svg xmlns="http://www.w3.org/2000/svg" fill="gray" height="12px" viewBox="0 0 576 512"><path d="M0 256C0 167.6 71.6 96 160 96h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C98.1 144 48 194.1 48 256s50.1 112 112 112h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C71.6 416 0 344.4 0 256zm576 0c0 88.4-71.6 160-160 160H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c61.9 0 112-50.1 112-112s-50.1-112-112-112H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c88.4 0 160 71.6 160 160zM184 232H392c13.3 0 24 10.7 24 24s-10.7 24-24 24H184c-13.3 0-24-10.7-24-24s10.7-24 24-24z"></path></svg></div></a></div><span class="cursor-pointer">Alternative Installation Methods</span></h2>
+<h3 class="flex whitespace-pre-wrap group" id="env-setup"><div class="absolute"><a href="#env-setup" class="-ml-10 flex items-center opacity-0 border-0 group-hover:opacity-100" aria-label="Navigate to header">​<div class="w-6 h-6 text-gray-400 rounded-md flex items-center justify-center zinc-box bg-white ring-1 ring-gray-400/30 dark:ring-gray-700/25 hover:ring-gray-400/60 dark:hover:ring-white/20"><svg xmlns="http://www.w3.org/2000/svg" fill="gray" height="12px" viewBox="0 0 576 512"><path d="M0 256C0 167.6 71.6 96 160 96h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C98.1 144 48 194.1 48 256s50.1 112 112 112h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C71.6 416 0 344.4 0 256zm576 0c0 88.4-71.6 160-160 160H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c61.9 0 112-50.1 112-112s-50.1-112-112-112H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c88.4 0 160 71.6 160 160zM184 232H392c13.3 0 24 10.7 24 24s-10.7 24-24 24H184c-13.3 0-24-10.7-24-24s10.7-24 24-24z"></path></svg></div></a></div><span class="cursor-pointer">Env. Setup</span></h3>
+<p><strong>R2R can be ran served entirely from your local device</strong>, but will require valid external connections with the providers listed below:</p>
+<div class="[&amp;&gt;div]:border-0 [&amp;&gt;div]:rounded-none [&amp;&gt;div&gt;button]:rounded-none [&amp;&gt;div]:mb-0 overflow-hidden mt-0 mb-3 rounded-xl prose prose-gray dark:prose-invert divide-y divide-inherit border dark:border-gray-800/50" role="list"><div role="listitem" class="border dark:border-white/10 rounded-xl mb-3 overflow-hidden dark:bg-codeblock"><button class="relative not-prose flex flex-row items-center content-center w-full py-4 px-5 space-x-2 hover:bg-gray-100 hover:dark:bg-gray-800 rounded-t-xl" aria-controls="Cloud LLM ProvidersChildren" aria-expanded="false"><div id="cloud-llm-providers" class="absolute -top-[8rem]"></div><div class="mr-0.5"><svg class="h-3 w-3 transition bg-gray-700 dark:bg-gray-400 duration-75" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/solid/caret-right.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg></div><div class="h-4 w-4 fill-gray-800 dark:fill-gray-100 text-gray-800 dark:text-gray-100"><svg class="w-4 h-4 bg-gray-800 dark:bg-gray-100" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/language.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg></div><div class="leading-tight text-left"><p class="m-0 font-medium text-gray-900 dark:text-gray-200">Cloud LLM Providers</p></div></button><div class="mt-2 mb-4 mx-6 hidden"><p>Note, cloud providers are optional as R2R can be ran entirely locally.</p><div class="mt-5 mb-8 not-prose bg-[#0F1117] dark:bg-codeblock rounded-xl dark:ring-1 dark:ring-gray-800/50 relative"><div class="text-gray-50 p-5 min-w-full text-sm leading-6 overflow-x-auto children:!my-0 children:!shadow-none children:!bg-transparent" style="font-variant-ligatures:none"><pre class="language-bash"><code class="language-bash"> <span class="token comment"># Set cloud LLM settings</span>
+ <span class="token builtin class-name">export</span> <span class="token assign-left variable">OPENAI_API_KEY</span><span class="token operator">=</span>sk-<span class="token punctuation">..</span>.
+ <span class="token comment"># export ANTHROPIC_API_KEY=...</span>
+ <span class="token comment"># ...</span>
+</code></pre></div></div></div></div><div role="listitem" class="border dark:border-white/10 rounded-xl mb-3 overflow-hidden dark:bg-codeblock"><button class="relative not-prose flex flex-row items-center content-center w-full py-4 px-5 space-x-2 hover:bg-gray-100 hover:dark:bg-gray-800 rounded-t-xl" aria-controls="Postgres+pgvectorChildren" aria-expanded="false"><div id="postgres-pgvector" class="absolute -top-[8rem]"></div><div class="mr-0.5"><svg class="h-3 w-3 transition bg-gray-700 dark:bg-gray-400 duration-75" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/solid/caret-right.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg></div><div class="h-4 w-4 fill-gray-800 dark:fill-gray-100 text-gray-800 dark:text-gray-100"><svg class="w-4 h-4 bg-gray-800 dark:bg-gray-100" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/database.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg></div><div class="leading-tight text-left"><p class="m-0 font-medium text-gray-900 dark:text-gray-200">Postgres+pgvector</p></div></button><div class="mt-2 mb-4 mx-6 hidden"><p>With R2R you can connect to your own instance of Postgres+pgvector, a remote cloud, or use R2R Docker to manage it all.</p><div class="mt-5 mb-8 not-prose bg-[#0F1117] dark:bg-codeblock rounded-xl dark:ring-1 dark:ring-gray-800/50 relative"><div class="text-gray-50 p-5 min-w-full text-sm leading-6 overflow-x-auto children:!my-0 children:!shadow-none children:!bg-transparent" style="font-variant-ligatures:none"><pre class="language-bash"><code class="language-bash"> <span class="token comment"># Set Postgres+pgvector settings</span>
+ <span class="token builtin class-name">export</span> <span class="token assign-left variable">POSTGRES_USER</span><span class="token operator">=</span><span class="token variable">$YOUR_POSTGRES_USER</span>
+ <span class="token builtin class-name">export</span> <span class="token assign-left variable">POSTGRES_PASSWORD</span><span class="token operator">=</span><span class="token variable">$YOUR_POSTGRES_PASSWORD</span>
+ <span class="token builtin class-name">export</span> <span class="token assign-left variable">POSTGRES_HOST</span><span class="token operator">=</span><span class="token variable">$YOUR_POSTGRES_HOST</span>
+ <span class="token builtin class-name">export</span> <span class="token assign-left variable">POSTGRES_PORT</span><span class="token operator">=</span><span class="token variable">$YOUR_POSTGRES_PORT</span>
+ <span class="token builtin class-name">export</span> <span class="token assign-left variable">POSTGRES_DBNAME</span><span class="token operator">=</span><span class="token variable">$YOUR_POSTGRES_DBNAME</span>
+ <span class="token builtin class-name">export</span> <span class="token assign-left variable">POSTGRES_VECS_COLLECTION</span><span class="token operator">=</span><span class="token variable">$YOUR_VECS_COLLECTION</span> <span class="token comment"># see note below</span>
+</code></pre></div></div><div class="my-4 px-5 py-4 overflow-hidden rounded-xl flex gap-3 border border-sky-500/20 bg-sky-50/50 dark:border-sky-500/30 dark:bg-sky-500/10"><div class="mt-0.5 w-4"><svg width="14" height="14" viewBox="0 0 14 14" fill="currentColor" xmlns="http://www.w3.org/2000/svg" class="w-4 h-4 text-sky-500" aria-label="Note"><path fill-rule="evenodd" clip-rule="evenodd" d="M7 1.3C10.14 1.3 12.7 3.86 12.7 7C12.7 10.14 10.14 12.7 7 12.7C5.48908 12.6974 4.0408 12.096 2.97241 11.0276C1.90403 9.9592 1.30264 8.51092 1.3 7C1.3 3.86 3.86 1.3 7 1.3ZM7 0C3.14 0 0 3.14 0 7C0 10.86 3.14 14 7 14C10.86 14 14 10.86 14 7C14 3.14 10.86 0 7 0ZM8 3H6V8H8V3ZM8 9H6V11H8V9Z"></path></svg></div><div class="text-sm prose min-w-0 text-sky-900 dark:text-sky-200"><p>The <code>POSTGRES_VECS_COLLECTION</code> environment variable defines the collection within your Postgres database where R2R related tables reside. If the specified collection does not exist then it will be created by R2R during initialization.</p></div></div></div></div><div role="listitem" class="border dark:border-white/10 rounded-xl mb-3 overflow-hidden dark:bg-codeblock"><button class="relative not-prose flex flex-row items-center content-center w-full py-4 px-5 space-x-2 hover:bg-gray-100 hover:dark:bg-gray-800 rounded-t-xl" aria-controls="Neo4jChildren" aria-expanded="false"><div id="neo4j" class="absolute -top-[8rem]"></div><div class="mr-0.5"><svg class="h-3 w-3 transition bg-gray-700 dark:bg-gray-400 duration-75" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/solid/caret-right.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg></div><div class="h-4 w-4 fill-gray-800 dark:fill-gray-100 text-gray-800 dark:text-gray-100"><svg class="w-4 h-4 bg-gray-800 dark:bg-gray-100" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/chart-simple.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg></div><div class="leading-tight text-left"><p class="m-0 font-medium text-gray-900 dark:text-gray-200">Neo4j</p></div></button><div class="mt-2 mb-4 mx-6 hidden"><p>Use your own local instance of Neo4j, or use R2R Docker to manage it all.</p><div class="mt-5 mb-8 not-prose bg-[#0F1117] dark:bg-codeblock rounded-xl dark:ring-1 dark:ring-gray-800/50 relative"><div class="text-gray-50 p-5 min-w-full text-sm leading-6 overflow-x-auto children:!my-0 children:!shadow-none children:!bg-transparent" style="font-variant-ligatures:none"><pre class="language-bash"><code class="language-bash"> <span class="token comment"># Set Neo4j settings</span>
+ <span class="token builtin class-name">export</span> <span class="token assign-left variable">NEO4J_USER</span><span class="token operator">=</span><span class="token variable">$YOUR_NEO4J_USER</span>
+ <span class="token builtin class-name">export</span> <span class="token assign-left variable">NEO4J_PASSWORD</span><span class="token operator">=</span><span class="token variable">$YOUR_NEO4J_PASSWORD</span>
+ <span class="token builtin class-name">export</span> <span class="token assign-left variable">NEO4J_URL</span><span class="token operator">=</span><span class="token variable">$YOUR_NEO4J_URL</span>
+ <span class="token builtin class-name">export</span> <span class="token assign-left variable">NEO4J_DATABASE</span><span class="token operator">=</span><span class="token variable">$YOUR_NEO4J_DATABASE</span>
+</code></pre></div></div><p>Refer <a href="/other/neo4j-setup">here for basic setup help</a>.</p></div></div></div>
+<h3 class="flex whitespace-pre-wrap group" id="python-development-mode"><div class="absolute"><a href="#python-development-mode" class="-ml-10 flex items-center opacity-0 border-0 group-hover:opacity-100" aria-label="Navigate to header">​<div class="w-6 h-6 text-gray-400 rounded-md flex items-center justify-center zinc-box bg-white ring-1 ring-gray-400/30 dark:ring-gray-700/25 hover:ring-gray-400/60 dark:hover:ring-white/20"><svg xmlns="http://www.w3.org/2000/svg" fill="gray" height="12px" viewBox="0 0 576 512"><path d="M0 256C0 167.6 71.6 96 160 96h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C98.1 144 48 194.1 48 256s50.1 112 112 112h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C71.6 416 0 344.4 0 256zm576 0c0 88.4-71.6 160-160 160H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c61.9 0 112-50.1 112-112s-50.1-112-112-112H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c88.4 0 160 71.6 160 160zM184 232H392c13.3 0 24 10.7 24 24s-10.7 24-24 24H184c-13.3 0-24-10.7-24-24s10.7-24 24-24z"></path></svg></div></a></div><span class="cursor-pointer">Python Development Mode</span></h3>
+<p>For those looking to develop R2R locally:</p>
+<ol>
+<li>
+<p>Install Poetry: Follow instructions on the <a href="https://python-poetry.org/docs/#installation" target="_blank" rel="noreferrer">official Poetry website</a>.</p>
+</li>
+<li>
+<p>Clone and install dependencies:</p>
+<div class="mt-5 mb-8 not-prose bg-[#0F1117] dark:bg-codeblock rounded-xl dark:ring-1 dark:ring-gray-800/50 relative"><div class="text-gray-50 p-5 min-w-full text-sm leading-6 overflow-x-auto children:!my-0 children:!shadow-none children:!bg-transparent" style="font-variant-ligatures:none"><pre class="language-bash"><code class="language-bash"><span class="token function">git</span> clone <a href="/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="75121c0135121c011d00175b161a18">[email&#160;protected]</a>:SciPhi-AI/R2R.git
+<span class="token builtin class-name">cd</span> R2R
+poetry <span class="token function">install</span> <span class="token parameter variable">-E</span> all
+</code></pre></div></div>
+</li>
+<li>
+<p>Setup environment:</p>
+</li>
+</ol>
+<p>Follow the steps listed in <code>Env. Setup</code> above. Additionally, you may introduce a local .env file to make development easier, and you may customize your local <code>r2r.toml</code> to suit your specific needs.</p>
+<ol start="4">
+<li>Run methods individually as needed for development.</li>
+</ol>
+<div class="mt-5 mb-8 not-prose bg-[#0F1117] dark:bg-codeblock rounded-xl dark:ring-1 dark:ring-gray-800/50 relative"><div class="text-gray-50 p-5 min-w-full text-sm leading-6 overflow-x-auto children:!my-0 children:!shadow-none children:!bg-transparent" style="font-variant-ligatures:none"><pre class="language-bash"><code class="language-bash"><span class="token comment"># e.g. Run the server</span>
+poetry run r2r serve
+
+<span class="token comment"># in a separate window</span>
+poetry run r2r ingest-sample-file
+
+<span class="token comment"># OR run methods directly with the R2R application for faster iteration &amp; error detection</span>
+poetry run r2r ingest-sample-file --client-mode<span class="token operator">=</span>False
+</code></pre></div></div>
+<h3 class="flex whitespace-pre-wrap group" id="manual-docker-setup"><div class="absolute"><a href="#manual-docker-setup" class="-ml-10 flex items-center opacity-0 border-0 group-hover:opacity-100" aria-label="Navigate to header">​<div class="w-6 h-6 text-gray-400 rounded-md flex items-center justify-center zinc-box bg-white ring-1 ring-gray-400/30 dark:ring-gray-700/25 hover:ring-gray-400/60 dark:hover:ring-white/20"><svg xmlns="http://www.w3.org/2000/svg" fill="gray" height="12px" viewBox="0 0 576 512"><path d="M0 256C0 167.6 71.6 96 160 96h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C98.1 144 48 194.1 48 256s50.1 112 112 112h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C71.6 416 0 344.4 0 256zm576 0c0 88.4-71.6 160-160 160H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c61.9 0 112-50.1 112-112s-50.1-112-112-112H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c88.4 0 160 71.6 160 160zM184 232H392c13.3 0 24 10.7 24 24s-10.7 24-24 24H184c-13.3 0-24-10.7-24-24s10.7-24 24-24z"></path></svg></div></a></div><span class="cursor-pointer">Manual Docker Setup</span></h3>
+<p>You can manually set up the Docker environment  if more control is needed:</p>
+<ol>
+<li>
+<p>Clone the R2R repository:</p>
+<div class="mt-5 mb-8 not-prose bg-[#0F1117] dark:bg-codeblock rounded-xl dark:ring-1 dark:ring-gray-800/50 relative"><div class="text-gray-50 p-5 min-w-full text-sm leading-6 overflow-x-auto children:!my-0 children:!shadow-none children:!bg-transparent" style="font-variant-ligatures:none"><pre class="language-bash"><code class="language-bash"><span class="token function">git</span> clone https://github.com/SciPhi-AI/R2R.git
+<span class="token builtin class-name">cd</span> R2R
+</code></pre></div></div>
+</li>
+<li>
+<p>Run with docker compose directly:</p>
+</li>
+</ol>
+<div class="mt-5 mb-8 not-prose bg-[#0F1117] dark:bg-codeblock rounded-xl dark:ring-1 dark:ring-gray-800/50 relative"><div class="text-gray-50 p-5 min-w-full text-sm leading-6 overflow-x-auto children:!my-0 children:!shadow-none children:!bg-transparent" style="font-variant-ligatures:none"><pre><code>docker compose -f compose.yaml -f compose.neo4j.yaml -f compose.postgres.yaml --project-name r2r up -d
+</code></pre></div></div>
+<h2 class="flex whitespace-pre-wrap group" id="next-steps"><div class="absolute"><a href="#next-steps" class="-ml-10 flex items-center opacity-0 border-0 group-hover:opacity-100" aria-label="Navigate to header">​<div class="w-6 h-6 text-gray-400 rounded-md flex items-center justify-center zinc-box bg-white ring-1 ring-gray-400/30 dark:ring-gray-700/25 hover:ring-gray-400/60 dark:hover:ring-white/20"><svg xmlns="http://www.w3.org/2000/svg" fill="gray" height="12px" viewBox="0 0 576 512"><path d="M0 256C0 167.6 71.6 96 160 96h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C98.1 144 48 194.1 48 256s50.1 112 112 112h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C71.6 416 0 344.4 0 256zm576 0c0 88.4-71.6 160-160 160H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c61.9 0 112-50.1 112-112s-50.1-112-112-112H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c88.4 0 160 71.6 160 160zM184 232H392c13.3 0 24 10.7 24 24s-10.7 24-24 24H184c-13.3 0-24-10.7-24-24s10.7-24 24-24z"></path></svg></div></a></div><span class="cursor-pointer">Next Steps</span></h2>
+<p>After installation:</p>
+<ol>
+<li>Follow the <a href="/quickstart">R2R Quickstart</a> guide</li>
+<li>Explore the more detailed <a href="/cookbooks/walkthrough">R2R Walkthrough</a></li>
+<li>Join our <a href="https://discord.gg/p6KqD2kjtB" target="_blank" rel="noreferrer">Discord community</a> for support and discussions</li>
+</ol>
+<p>For more information on getting started with R2R, check out the <a href="/quickstart">quickstart</a> and the <a href="/cookbooks/walkthrough">walkthrough</a> for even greater depth.</p></div><div class="leading-6 mt-14"><div class="pb-16 w-full"><div class="flex flex-col gap-y-4 xl:flex-col xl:gap-6 min-[1400px]:flex-row md:flex-row md:justify-end"><div class="flex flex-row gap-5 items-center grow justify-between  md:justify-start xl:justify-between min-[1400px]:justify-start"><p class="text-sm text-gray-600 dark:text-gray-400">Was this page helpful?</p><div class="flex flex-row gap-3 items-center"><button class="px-[14px] py-2 flex flex-row gap-[10px] items-center border rounded-lg text-gray-600 dark:text-gray-400 hover:text-gray-700 dark:hover:text-gray-300 bg-white/50 border-gray-200 dark:border-gray-800 dark:bg-codeblock/50 hover:border-gray-400 hover:dark:border-gray-500"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 16 16" 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3.3335H13.5554" stroke-linecap="round" stroke-linejoin="round"></path><path d="M2.44434 8H7.33323" stroke-linecap="round" stroke-linejoin="round"></path></svg><span>On this page</span></div><ul><li><a href="#why-choose-r2r" class="py-1 block font-medium hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300">Why Choose R2R?</a></li><li><a href="#install-the-r2r-cli" class="py-1 block font-medium hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300">Install the R2R CLI</a></li><li><a href="#start-r2r-with-docker" class="py-1 block font-medium hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300">Start R2R with Docker</a></li><li style="margin-left:1rem"><a href="#stopping-r2r" class="group flex items-start py-1 whitespace-pre-wrap text-gray-500 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300">Stopping R2R</a></li><li><a href="#alternative-installation-methods" class="py-1 block font-medium hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300">Alternative Installation Methods</a></li><li style="margin-left:1rem"><a href="#env-setup" class="group flex items-start py-1 whitespace-pre-wrap text-gray-500 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300">Env. Setup</a></li><li style="margin-left:1rem"><a href="#python-development-mode" class="group flex items-start py-1 whitespace-pre-wrap text-gray-500 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300">Python Development Mode</a></li><li style="margin-left:1rem"><a href="#manual-docker-setup" class="group flex items-start py-1 whitespace-pre-wrap text-gray-500 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300">Manual Docker Setup</a></li><li><a href="#next-steps" class="py-1 block font-medium hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300">Next Steps</a></li></ul></div></div></div></div></div></div></main></div><script data-cfasync="false" src="/cdn-cgi/scripts/5c5dd728/cloudflare-static/email-decode.min.js"></script><script id="__NEXT_DATA__" type="application/json">{"props":{"pageProps":{"mdxSource":{"compiledSource":"/*@jsxRuntime automatic @jsxImportSource react*/\nconst {Fragment: _Fragment, jsx: _jsx, jsxs: _jsxs} = arguments[0];\nconst {useMDXComponents: _provideComponents} = arguments[0];\nfunction _createMdxContent(props) {\n  const _components = Object.assign({\n    p: \"p\",\n    ul: \"ul\",\n    li: \"li\",\n    strong: \"strong\",\n    a: \"a\",\n    pre: \"pre\",\n    code: \"code\",\n    span: \"span\",\n    ol: \"ol\"\n  }, _provideComponents(), props.components), {Heading, Tip, CodeBlock, Note, AccordionGroup, Accordion} = _components;\n  if (!Accordion) _missingMdxReference(\"Accordion\", true);\n  if (!AccordionGroup) _missingMdxReference(\"AccordionGroup\", true);\n  if (!CodeBlock) _missingMdxReference(\"CodeBlock\", true);\n  if (!Heading) _missingMdxReference(\"Heading\", true);\n  if (!Note) _missingMdxReference(\"Note\", true);\n  if (!Tip) _missingMdxReference(\"Tip\", true);\n  return _jsxs(_Fragment, {\n    children: [_jsx(Heading, {\n      level: \"2\",\n      id: \"why-choose-r2r\",\n      children: \"Why Choose R2R?\"\n    }), \"\\n\", _jsx(_components.p, {\n      children: \"Welcome to the R2R installation guide, here is what R2R can offer for your RAG application:\"\n    }), \"\\n\", _jsxs(_components.ul, {\n      children: [\"\\n\", _jsxs(_components.li, {\n        children: [_jsx(_components.strong, {\n          children: \"Flexibility\"\n        }), \": Run with cloud-based LLMs or entirely on your local machine\"]\n      }), \"\\n\", _jsxs(_components.li, {\n        children: [_jsx(_components.strong, {\n          children: \"SoTA\"\n        }), \": Advanced RAG techniques like hybrid search, GraphRAG, and agentic RAG.\"]\n      }), \"\\n\", _jsxs(_components.li, {\n        children: [_jsx(_components.strong, {\n          children: \"User-Features\"\n        }), \": Features like authentication, document management, user \u0026 group permissioning, and more.\"]\n      }), \"\\n\"]\n    }), \"\\n\", _jsxs(Tip, {\n      children: [\"SciPhi Cloud includes a generous free tier and is the quickest way to get up and running with R2R. Check out the \", _jsx(_components.a, {\n        href: \"/sciphi-cloud/deploy\",\n        children: \"documentation here\"\n      }), \" to skip the local installation! \"]\n    }), \"\\n\", _jsx(Heading, {\n      level: \"2\",\n      id: \"install-the-r2r-cli\",\n      children: \"Install the R2R CLI\"\n    }), \"\\n\", _jsx(_components.p, {\n      children: \"Let’s begin with installing the R2R CLI, the gateway to interacting with your R2R system.\"\n    }), \"\\n\", _jsx(CodeBlock, {\n      filename: \"\",\n      children: _jsx(_components.pre, {\n        className: \"language-bash\",\n        children: _jsxs(_components.code, {\n          className: \"language-bash\",\n          children: [\"pip \", _jsx(_components.span, {\n            className: \"token function\",\n            children: \"install\"\n          }), \" r2r\\n\"]\n        })\n      })\n    }), \"\\n\", _jsx(Heading, {\n      level: \"2\",\n      id: \"start-r2r-with-docker\",\n      children: \"Start R2R with Docker\"\n    }), \"\\n\", _jsxs(_components.p, {\n      children: [\"The following guide assumes that Docker has already been installed on your system. Refer to the Docker \", _jsx(_components.a, {\n        href: \"https://docs.docker.com/engine/install/\",\n        children: \"documentation here for installation help\"\n      }), \".\"]\n    }), \"\\n\", _jsxs(Note, {\n      children: [_jsxs(_components.p, {\n        children: [\"Neo4j and Postgres come bundled into the R2R Docker by default. If you prefer to use your own deployments of either, you may optionally include the flags \", _jsx(_components.code, {\n          children: \"--exclude-neo4j\"\n        }), \" and/or \", _jsx(_components.code, {\n          children: \"--exclude-postgres\"\n        }), \".\"]\n      }), _jsxs(_components.p, {\n        children: [\"Excluding postgres requires that a valid configuration be selected, such as \", _jsx(_components.code, {\n          children: \"r2r/examples/neo4j_kg_no_vector_postgres.toml\"\n        }), \".\"]\n      })]\n    }), \"\\n\", _jsxs(AccordionGroup, {\n      children: [_jsxs(Accordion, {\n        title: \"Cloud LLM RAG\",\n        icon: \"cloud\",\n        defaultOpen: true,\n        children: [_jsx(_components.p, {\n          children: \"To start R2R with OpenAI as the default LLM inference provider:\"\n        }), _jsx(CodeBlock, {\n          filename: \"\",\n          children: _jsx(_components.pre, {\n            className: \"language-bash\",\n            children: _jsxs(_components.code, {\n              className: \"language-bash\",\n              children: [_jsx(_components.span, {\n                className: \"token comment\",\n                children: \"# Set cloud LLM settings\"\n              }), \"\\n\", _jsx(_components.span, {\n                className: \"token builtin class-name\",\n                children: \"export\"\n              }), \" \", _jsx(_components.span, {\n                className: \"token assign-left variable\",\n                children: \"OPENAI_API_KEY\"\n              }), _jsx(_components.span, {\n                className: \"token operator\",\n                children: \"=\"\n              }), \"sk-\", _jsx(_components.span, {\n                className: \"token punctuation\",\n                children: \"..\"\n              }), \".\\n\\nr2r --config-name\", _jsx(_components.span, {\n                className: \"token operator\",\n                children: \"=\"\n              }), \"default serve \", _jsx(_components.span, {\n                className: \"token parameter variable\",\n                children: \"--docker\"\n              }), \"\\n\"]\n            })\n          })\n        })]\n      }), _jsxs(Accordion, {\n        title: \"Local LLM RAG\",\n        icon: \"house\",\n        defaultOpen: true,\n        children: [_jsx(_components.p, {\n          children: \"To start R2R with your local computer as the default LLM inference provider:\"\n        }), _jsx(CodeBlock, {\n          filename: \"\",\n          children: _jsx(_components.pre, {\n            className: \"language-bash\",\n            children: _jsxs(_components.code, {\n              className: \"language-bash\",\n              children: [\"r2r --config-name\", _jsx(_components.span, {\n                className: \"token operator\",\n                children: \"=\"\n              }), \"local_llm serve \", _jsx(_components.span, {\n                className: \"token parameter variable\",\n                children: \"--docker\"\n              }), \"\\n\\n\"]\n            })\n          })\n        }), _jsx(_components.p, {\n          children: \"Then, in a separate terminal you will need to run Ollama to provide completions:\"\n        }), _jsx(CodeBlock, {\n          filename: \"\",\n          children: _jsx(_components.pre, {\n            className: \"language-bash\",\n            children: _jsx(_components.code, {\n              className: \"language-bash\",\n              children: \"  ollama pull llama3.1\\n  ollama pull mxbai-embed-large\\n  ollama serve\\n\"\n            })\n          })\n        }), _jsxs(_components.p, {\n          children: [\"The code above assumes that Ollama has already been installed. If you have not yet done so, then refer to the official Ollama webpage \", _jsx(_components.a, {\n            href: \"https://ollama.com/download\",\n            children: \"for installation instructions\"\n          }), \".\"]\n        })]\n      }), _jsxs(Accordion, {\n        title: \"Custom Configuration\",\n        icon: \"gear\",\n        defaultOpen: true,\n        children: [_jsx(_components.p, {\n          children: \"R2R offers flexibility in selecting and configuring LLMs, allowing you to optimize your RAG pipeline for various use cases. Execute the command below run deploy R2R with your own custom configuration:\"\n        }), _jsx(CodeBlock, {\n          filename: \"\",\n          children: _jsx(_components.pre, {\n            className: \"language-bash\",\n            children: _jsxs(_components.code, {\n              className: \"language-bash\",\n              children: [\"r2r --config-path\", _jsx(_components.span, {\n                className: \"token operator\",\n                children: \"=\"\n              }), \"/abs/path/to/my_r2r.toml serve\\n\"]\n            })\n          })\n        }), _jsxs(_components.p, {\n          children: [\"Refer to the \", _jsx(_components.a, {\n            href: \"/cookbooks/basic-configuration\",\n            children: \"basic configuration\"\n          }), \" cookbook for more customization options.\"]\n        })]\n      })]\n    }), \"\\n\", _jsxs(_components.p, {\n      children: [\"The above command will automatically pull the necessary Docker images and start all the required containers, including \", _jsx(_components.code, {\n        children: \"R2R\"\n      }), \", \", _jsx(_components.code, {\n        children: \"Neo4j\"\n      }), \", \", _jsx(_components.code, {\n        children: \"Postgres+pgvector\"\n      }), \".\"]\n    }), \"\\n\", _jsxs(_components.p, {\n      children: [\"The end result is a live server at \", _jsx(_components.a, {\n        href: \"http://localhost:8000\",\n        children: \"http://localhost:8000\"\n      }), \" serving the \", _jsx(_components.a, {\n        href: \"/api-reference/introduction\",\n        children: \"R2R API\"\n      }), \".\"]\n    }), \"\\n\", _jsxs(_components.p, {\n      children: [\"In addition to launching a RESTful API, the R2R Docker also launches an application at \", _jsx(_components.code, {\n        children: \"localhost\"\n      }), \", which you can \", _jsx(_components.a, {\n        href: \"/cookbooks/application\",\n        children: \"read more about here\"\n      }), \". You should continue on to the \", _jsx(_components.a, {\n        href: \"/quickstart\",\n        children: \"quickstart guide\"\n      }), \" as soon as the server is up and running.\"]\n    }), \"\\n\", _jsx(Heading, {\n      level: \"3\",\n      id: \"stopping-r2r\",\n      children: \"Stopping R2R\"\n    }), \"\\n\", _jsxs(_components.p, {\n      children: [\"Safely stop your system by running \", _jsx(_components.code, {\n        children: \"r2r docker-down\"\n      }), \" to avoid potential shutdown complications.\"]\n    }), \"\\n\", _jsx(Heading, {\n      level: \"2\",\n      id: \"alternative-installation-methods\",\n      children: \"Alternative Installation Methods\"\n    }), \"\\n\", _jsx(Heading, {\n      level: \"3\",\n      id: \"env-setup\",\n      children: \"Env. Setup\"\n    }), \"\\n\", _jsxs(_components.p, {\n      children: [_jsx(_components.strong, {\n        children: \"R2R can be ran served entirely from your local device\"\n      }), \", but will require valid external connections with the providers listed below:\"]\n    }), \"\\n\", _jsxs(AccordionGroup, {\n      children: [_jsxs(Accordion, {\n        title: \"Cloud LLM Providers\",\n        icon: \"language\",\n        children: [_jsx(_components.p, {\n          children: \"Note, cloud providers are optional as R2R can be ran entirely locally.\"\n        }), _jsx(CodeBlock, {\n          filename: \"\",\n          children: _jsx(_components.pre, {\n            className: \"language-bash\",\n            children: _jsxs(_components.code, {\n              className: \"language-bash\",\n              children: [\" \", _jsx(_components.span, {\n                className: \"token comment\",\n                children: \"# Set cloud LLM settings\"\n              }), \"\\n \", _jsx(_components.span, {\n                className: \"token builtin class-name\",\n                children: \"export\"\n              }), \" \", _jsx(_components.span, {\n                className: \"token assign-left variable\",\n                children: \"OPENAI_API_KEY\"\n              }), _jsx(_components.span, {\n                className: \"token operator\",\n                children: \"=\"\n              }), \"sk-\", _jsx(_components.span, {\n                className: \"token punctuation\",\n                children: \"..\"\n              }), \".\\n \", _jsx(_components.span, {\n                className: \"token comment\",\n                children: \"# export ANTHROPIC_API_KEY=...\"\n              }), \"\\n \", _jsx(_components.span, {\n                className: \"token comment\",\n                children: \"# ...\"\n              }), \"\\n\"]\n            })\n          })\n        })]\n      }), _jsxs(Accordion, {\n        title: \"Postgres+pgvector\",\n        icon: \"database\",\n        children: [_jsx(_components.p, {\n          children: \"With R2R you can connect to your own instance of Postgres+pgvector, a remote cloud, or use R2R Docker to manage it all.\"\n        }), _jsx(CodeBlock, {\n          filename: \"\",\n          children: _jsx(_components.pre, {\n            className: \"language-bash\",\n            children: _jsxs(_components.code, {\n              className: \"language-bash\",\n              children: [\" \", _jsx(_components.span, {\n                className: \"token comment\",\n                children: \"# Set Postgres+pgvector settings\"\n              }), \"\\n \", _jsx(_components.span, {\n                className: \"token builtin class-name\",\n                children: \"export\"\n              }), \" \", _jsx(_components.span, {\n                className: \"token assign-left variable\",\n                children: \"POSTGRES_USER\"\n              }), _jsx(_components.span, {\n                className: \"token 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\"token assign-left variable\",\n                children: \"POSTGRES_HOST\"\n              }), _jsx(_components.span, {\n                className: \"token operator\",\n                children: \"=\"\n              }), _jsx(_components.span, {\n                className: \"token variable\",\n                children: \"$YOUR_POSTGRES_HOST\"\n              }), \"\\n \", _jsx(_components.span, {\n                className: \"token builtin class-name\",\n                children: \"export\"\n              }), \" \", _jsx(_components.span, {\n                className: \"token assign-left variable\",\n                children: \"POSTGRES_PORT\"\n              }), _jsx(_components.span, {\n                className: \"token operator\",\n                children: \"=\"\n              }), _jsx(_components.span, {\n                className: \"token variable\",\n                children: \"$YOUR_POSTGRES_PORT\"\n              }), \"\\n \", _jsx(_components.span, {\n                className: \"token builtin class-name\",\n                children: \"export\"\n              }), \" \", _jsx(_components.span, {\n                className: \"token assign-left variable\",\n                children: \"POSTGRES_DBNAME\"\n              }), _jsx(_components.span, {\n                className: \"token operator\",\n                children: \"=\"\n              }), _jsx(_components.span, {\n                className: \"token variable\",\n                children: \"$YOUR_POSTGRES_DBNAME\"\n              }), \"\\n \", _jsx(_components.span, {\n                className: \"token builtin class-name\",\n                children: \"export\"\n              }), \" \", _jsx(_components.span, {\n                className: \"token assign-left variable\",\n                children: \"POSTGRES_VECS_COLLECTION\"\n              }), _jsx(_components.span, {\n                className: \"token operator\",\n                children: \"=\"\n              }), _jsx(_components.span, {\n                className: \"token variable\",\n                children: \"$YOUR_VECS_COLLECTION\"\n              }), \" \", _jsx(_components.span, {\n                className: \"token comment\",\n                children: \"# see note below\"\n              }), \"\\n\"]\n            })\n          })\n        }), _jsx(Note, {\n          children: _jsxs(_components.p, {\n            children: [\"The \", _jsx(_components.code, {\n              children: \"POSTGRES_VECS_COLLECTION\"\n            }), \" environment variable defines the collection within your Postgres database where R2R related tables reside. If the specified collection does not exist then it will be created by R2R during initialization.\"]\n          })\n        })]\n      }), _jsxs(Accordion, {\n        title: \"Neo4j\",\n        icon: \"chart-simple\",\n        children: [_jsx(_components.p, {\n          children: \"Use your own local instance of Neo4j, or use R2R Docker to manage it all.\"\n        }), _jsx(CodeBlock, {\n          filename: \"\",\n          children: _jsx(_components.pre, {\n            className: \"language-bash\",\n            children: _jsxs(_components.code, {\n              className: \"language-bash\",\n              children: [\" \", _jsx(_components.span, {\n                className: \"token comment\",\n                children: \"# Set Neo4j settings\"\n              }), \"\\n \", _jsx(_components.span, {\n                className: \"token builtin class-name\",\n                children: \"export\"\n              }), \" \", _jsx(_components.span, {\n                className: \"token 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builtin class-name\",\n                children: \"export\"\n              }), \" \", _jsx(_components.span, {\n                className: \"token assign-left variable\",\n                children: \"NEO4J_URL\"\n              }), _jsx(_components.span, {\n                className: \"token operator\",\n                children: \"=\"\n              }), _jsx(_components.span, {\n                className: \"token variable\",\n                children: \"$YOUR_NEO4J_URL\"\n              }), \"\\n \", _jsx(_components.span, {\n                className: \"token builtin class-name\",\n                children: \"export\"\n              }), \" \", _jsx(_components.span, {\n                className: \"token assign-left variable\",\n                children: \"NEO4J_DATABASE\"\n              }), _jsx(_components.span, {\n                className: \"token operator\",\n                children: \"=\"\n              }), _jsx(_components.span, {\n                className: \"token variable\",\n                children: \"$YOUR_NEO4J_DATABASE\"\n              }), \"\\n\"]\n            })\n          })\n        }), _jsxs(_components.p, {\n          children: [\"Refer \", _jsx(_components.a, {\n            href: \"/other/neo4j-setup\",\n            children: \"here for basic setup help\"\n          }), \".\"]\n        })]\n      })]\n    }), \"\\n\", _jsx(Heading, {\n      level: \"3\",\n      id: \"python-development-mode\",\n      children: \"Python Development Mode\"\n    }), \"\\n\", _jsx(_components.p, {\n      children: \"For those looking to develop R2R locally:\"\n    }), \"\\n\", _jsxs(_components.ol, {\n      children: [\"\\n\", _jsxs(_components.li, {\n        children: [\"\\n\", _jsxs(_components.p, {\n          children: [\"Install Poetry: Follow instructions on the \", _jsx(_components.a, {\n            href: \"https://python-poetry.org/docs/#installation\",\n            children: \"official Poetry website\"\n          }), \".\"]\n        }), \"\\n\"]\n      }), \"\\n\", _jsxs(_components.li, {\n        children: [\"\\n\", _jsx(_components.p, {\n          children: \"Clone and install dependencies:\"\n        }), \"\\n\", _jsx(CodeBlock, {\n          filename: \"\",\n          children: _jsx(_components.pre, {\n            className: \"language-bash\",\n            children: _jsxs(_components.code, {\n              className: \"language-bash\",\n              children: [_jsx(_components.span, {\n                className: \"token function\",\n                children: \"git\"\n              }), \" clone git@github.com:SciPhi-AI/R2R.git\\n\", _jsx(_components.span, {\n                className: \"token builtin class-name\",\n                children: \"cd\"\n              }), \" R2R\\npoetry \", _jsx(_components.span, {\n                className: \"token function\",\n                children: \"install\"\n              }), \" \", _jsx(_components.span, {\n                className: \"token parameter variable\",\n                children: \"-E\"\n              }), \" all\\n\"]\n            })\n          })\n        }), \"\\n\"]\n      }), \"\\n\", _jsxs(_components.li, {\n        children: [\"\\n\", _jsx(_components.p, {\n          children: \"Setup environment:\"\n        }), \"\\n\"]\n      }), \"\\n\"]\n    }), \"\\n\", _jsxs(_components.p, {\n      children: [\"Follow the steps listed in \", _jsx(_components.code, {\n        children: \"Env. 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[_jsx(_components.strong, {\n          children: \"Flexibility\"\n        }), \": Run with cloud-based LLMs or entirely on your local machine\"]\n      }), \"\\n\", _jsxs(_components.li, {\n        children: [_jsx(_components.strong, {\n          children: \"SoTA\"\n        }), \": Advanced RAG techniques like hybrid search, GraphRAG, and agentic RAG.\"]\n      }), \"\\n\", _jsxs(_components.li, {\n        children: [_jsx(_components.strong, {\n          children: \"User-Features\"\n        }), \": Features like authentication, document management, user \u0026 group permissioning, and more.\"]\n      }), \"\\n\"]\n    }), \"\\n\", _jsxs(Tip, {\n      children: [\"SciPhi Cloud includes a generous free tier and is the quickest way to get up and running with R2R. Check out the \", _jsx(_components.a, {\n        href: \"/sciphi-cloud/deploy\",\n        children: \"documentation here\"\n      }), \" to skip the local installation! \"]\n    }), \"\\n\", _jsx(Heading, {\n      level: \"2\",\n      id: \"install-the-r2r-cli\",\n      children: \"Install the R2R CLI\"\n    }), \"\\n\", _jsx(_components.p, {\n      children: \"Let’s begin with installing the R2R CLI, the gateway to interacting with your R2R system.\"\n    }), \"\\n\", _jsx(CodeBlock, {\n      filename: \"\",\n      children: _jsx(_components.pre, {\n        className: \"language-bash\",\n        children: _jsxs(_components.code, {\n          className: \"language-bash\",\n          children: [\"pip \", _jsx(_components.span, {\n            className: \"token function\",\n            children: \"install\"\n          }), \" r2r\\n\"]\n        })\n      })\n    }), \"\\n\", _jsx(Heading, {\n      level: \"2\",\n      id: \"start-r2r-with-docker\",\n      children: \"Start R2R with Docker\"\n    }), \"\\n\", _jsxs(_components.p, {\n      children: [\"The following guide assumes that Docker has already been installed on your system. Refer to the Docker \", _jsx(_components.a, {\n        href: \"https://docs.docker.com/engine/install/\",\n        children: \"documentation here for installation help\"\n      }), \".\"]\n    }), \"\\n\", _jsxs(Note, {\n      children: [_jsxs(_components.p, {\n        children: [\"Neo4j and Postgres come bundled into the R2R Docker by default. If you prefer to use your own deployments of either, you may optionally include the flags \", _jsx(_components.code, {\n          children: \"--exclude-neo4j\"\n        }), \" and/or \", _jsx(_components.code, {\n          children: \"--exclude-postgres\"\n        }), \".\"]\n      }), _jsxs(_components.p, {\n        children: [\"Excluding postgres requires that a valid configuration be selected, such as \", _jsx(_components.code, {\n          children: \"r2r/examples/neo4j_kg_no_vector_postgres.toml\"\n        }), \".\"]\n      })]\n    }), \"\\n\", _jsxs(AccordionGroup, {\n      children: [_jsxs(Accordion, {\n        title: \"Cloud LLM RAG\",\n        icon: \"cloud\",\n        defaultOpen: true,\n        children: [_jsx(_components.p, {\n          children: \"To start R2R with OpenAI as the default LLM inference provider:\"\n        }), _jsx(CodeBlock, {\n          filename: \"\",\n          children: _jsx(_components.pre, {\n            className: \"language-bash\",\n            children: _jsxs(_components.code, {\n              className: \"language-bash\",\n              children: [_jsx(_components.span, {\n                className: \"token comment\",\n                children: \"# Set cloud LLM settings\"\n              }), \"\\n\", _jsx(_components.span, {\n                className: \"token builtin class-name\",\n                children: \"export\"\n              }), \" \", _jsx(_components.span, {\n                className: \"token assign-left variable\",\n                children: \"OPENAI_API_KEY\"\n              }), _jsx(_components.span, {\n                className: \"token operator\",\n                children: \"=\"\n              }), \"sk-\", _jsx(_components.span, {\n                className: \"token punctuation\",\n                children: \"..\"\n              }), \".\\n\\nr2r --config-name\", _jsx(_components.span, {\n                className: \"token operator\",\n                children: \"=\"\n              }), \"default serve \", _jsx(_components.span, {\n                className: \"token parameter variable\",\n                children: \"--docker\"\n              }), \"\\n\"]\n            })\n          })\n        })]\n      }), _jsxs(Accordion, {\n        title: \"Local LLM RAG\",\n        icon: \"house\",\n        defaultOpen: true,\n        children: [_jsx(_components.p, {\n          children: \"To start R2R with your local computer as the default LLM inference provider:\"\n        }), _jsx(CodeBlock, {\n          filename: \"\",\n          children: _jsx(_components.pre, {\n            className: \"language-bash\",\n            children: _jsxs(_components.code, {\n              className: \"language-bash\",\n              children: [\"r2r --config-name\", _jsx(_components.span, {\n                className: \"token operator\",\n                children: \"=\"\n              }), \"local_llm serve \", _jsx(_components.span, {\n                className: \"token parameter variable\",\n                children: \"--docker\"\n              }), \"\\n\\n\"]\n            })\n          })\n        }), _jsx(_components.p, {\n          children: \"Then, in a separate terminal you will need to run Ollama to provide completions:\"\n        }), _jsx(CodeBlock, {\n          filename: \"\",\n          children: _jsx(_components.pre, {\n            className: \"language-bash\",\n            children: _jsx(_components.code, {\n              className: \"language-bash\",\n              children: \"  ollama pull llama3.1\\n  ollama pull mxbai-embed-large\\n  ollama serve\\n\"\n            })\n          })\n        }), _jsxs(_components.p, {\n          children: [\"The code above assumes that Ollama has already been installed. If you have not yet done so, then refer to the official Ollama webpage \", _jsx(_components.a, {\n            href: \"https://ollama.com/download\",\n            children: \"for installation instructions\"\n          }), \".\"]\n        })]\n      }), _jsxs(Accordion, {\n        title: \"Custom Configuration\",\n        icon: \"gear\",\n        defaultOpen: true,\n        children: [_jsx(_components.p, {\n          children: \"R2R offers flexibility in selecting and configuring LLMs, allowing you to optimize your RAG pipeline for various use cases. Execute the command below run deploy R2R with your own custom configuration:\"\n        }), _jsx(CodeBlock, {\n          filename: \"\",\n          children: _jsx(_components.pre, {\n            className: \"language-bash\",\n            children: _jsxs(_components.code, {\n              className: \"language-bash\",\n              children: [\"r2r --config-path\", _jsx(_components.span, {\n                className: \"token operator\",\n                children: \"=\"\n              }), \"/abs/path/to/my_r2r.toml serve\\n\"]\n            })\n          })\n        }), _jsxs(_components.p, {\n          children: [\"Refer to the \", _jsx(_components.a, {\n            href: \"/cookbooks/basic-configuration\",\n            children: \"basic configuration\"\n          }), \" cookbook for more customization options.\"]\n        })]\n      })]\n    }), \"\\n\", _jsxs(_components.p, {\n      children: [\"The above command will automatically pull the necessary Docker images and start all the required containers, including \", _jsx(_components.code, {\n        children: \"R2R\"\n      }), \", \", _jsx(_components.code, {\n        children: \"Neo4j\"\n      }), \", \", _jsx(_components.code, {\n        children: \"Postgres+pgvector\"\n      }), \".\"]\n    }), \"\\n\", _jsxs(_components.p, {\n      children: [\"The end result is a live server at \", _jsx(_components.a, {\n        href: \"http://localhost:8000\",\n        children: \"http://localhost:8000\"\n      }), \" serving the \", _jsx(_components.a, {\n        href: \"/api-reference/introduction\",\n        children: \"R2R API\"\n      }), \".\"]\n    }), \"\\n\", _jsxs(_components.p, {\n      children: [\"In addition to launching a RESTful API, the R2R Docker also launches an application at \", _jsx(_components.code, {\n        children: \"localhost\"\n      }), \", which you can \", _jsx(_components.a, {\n        href: \"/cookbooks/application\",\n        children: \"read more about here\"\n      }), \". 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className: \"token variable\",\n                children: \"$YOUR_VECS_COLLECTION\"\n              }), \" \", _jsx(_components.span, {\n                className: \"token comment\",\n                children: \"# see note below\"\n              }), \"\\n\"]\n            })\n          })\n        }), _jsx(Note, {\n          children: _jsxs(_components.p, {\n            children: [\"The \", _jsx(_components.code, {\n              children: \"POSTGRES_VECS_COLLECTION\"\n            }), \" environment variable defines the collection within your Postgres database where R2R related tables reside. If the specified collection does not exist then it will be created by R2R during initialization.\"]\n          })\n        })]\n      }), _jsxs(Accordion, {\n        title: \"Neo4j\",\n        icon: \"chart-simple\",\n        children: [_jsx(_components.p, {\n          children: \"Use your own local instance of Neo4j, or use R2R Docker to manage it all.\"\n        }), _jsx(CodeBlock, {\n          filename: \"\",\n          children: _jsx(_components.pre, {\n            className: \"language-bash\",\n            children: _jsxs(_components.code, {\n              className: \"language-bash\",\n              children: [\" \", _jsx(_components.span, {\n                className: \"token comment\",\n                children: \"# Set Neo4j settings\"\n              }), \"\\n \", _jsx(_components.span, {\n                className: \"token builtin class-name\",\n                children: \"export\"\n              }), \" \", _jsx(_components.span, {\n                className: \"token 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builtin class-name\",\n                children: \"export\"\n              }), \" \", _jsx(_components.span, {\n                className: \"token assign-left variable\",\n                children: \"NEO4J_URL\"\n              }), _jsx(_components.span, {\n                className: \"token operator\",\n                children: \"=\"\n              }), _jsx(_components.span, {\n                className: \"token variable\",\n                children: \"$YOUR_NEO4J_URL\"\n              }), \"\\n \", _jsx(_components.span, {\n                className: \"token builtin class-name\",\n                children: \"export\"\n              }), \" \", _jsx(_components.span, {\n                className: \"token assign-left variable\",\n                children: \"NEO4J_DATABASE\"\n              }), _jsx(_components.span, {\n                className: \"token operator\",\n                children: \"=\"\n              }), _jsx(_components.span, {\n                className: \"token variable\",\n                children: \"$YOUR_NEO4J_DATABASE\"\n              }), \"\\n\"]\n            })\n          })\n        }), _jsxs(_components.p, {\n          children: [\"Refer \", _jsx(_components.a, {\n            href: \"/other/neo4j-setup\",\n            children: \"here for basic setup help\"\n          }), \".\"]\n        })]\n      })]\n    }), \"\\n\", _jsx(Heading, {\n      level: \"3\",\n      id: \"python-development-mode\",\n      children: \"Python Development Mode\"\n    }), \"\\n\", _jsx(_components.p, {\n      children: \"For those looking to develop R2R locally:\"\n    }), \"\\n\", _jsxs(_components.ol, {\n      children: [\"\\n\", _jsxs(_components.li, {\n        children: [\"\\n\", _jsxs(_components.p, {\n          children: [\"Install Poetry: Follow instructions on the \", _jsx(_components.a, {\n            href: \"https://python-poetry.org/docs/#installation\",\n            children: \"official Poetry website\"\n          }), \".\"]\n        }), 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src="https://mintlify.s3-us-west-1.amazonaws.com/r2r/logo/sciphi_light.png" alt="light logo"/><img class="w-auto h-7 relative object-contain hidden dark:block" src="https://mintlify.s3-us-west-1.amazonaws.com/r2r/logo/sciphi_dark.png" alt="dark logo"/></a></div><div class="hidden lg:block mx-px relative flex-1 bg-white dark:bg-gray-900 pointer-events-auto rounded-lg"><button type="button" class="w-full flex items-center text-sm leading-6 rounded-lg py-1.5 pl-2.5 pr-3 shadow-sm text-gray-400 dark:text-white/50 bg-background-light dark:bg-background-dark dark:brightness-[1.1] dark:ring-1 dark:hover:brightness-[1.25] ring-1 ring-gray-400/20 hover:ring-gray-600/25 dark:ring-gray-600/30 dark:hover:ring-gray-500/30 focus:outline-primary" id="search-bar-entry"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-search ml-1 mr-3 flex-none 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Started</h5><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg bg-primary/10 text-primary font-semibold dark:text-primary-light dark:bg-primary-light/10" style="padding-left:1rem" href="/introduction"><svg class="h-4 w-4 bg-primary dark:bg-primary-light" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/flag-checkered.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Introduction</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/installation"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" 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rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/code.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div>API &amp; SDKs</div><svg width="3" height="24" viewBox="0 -9 3 24" class="transition-transform text-gray-400 overflow-visible group-hover:text-gray-600 dark:text-gray-600 dark:group-hover:text-gray-400"><path d="M0 0L3 3L0 6" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round"></path></svg></div></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/local-rag"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/house.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Local LLM RAG</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/whats-new"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/bell.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>What&#x27;s New</div></div></a></li></div><div class="mt-12 lg:mt-8"><h5 class="pl-4 mb-3.5 lg:mb-2.5 font-semibold text-gray-900 dark:text-gray-200">RAG Cookbooks</h5><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/basic-configuration"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/language.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Basic Configuration</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/walkthrough"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/traffic-light-slow.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Walkthrough</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/knowledge-graph"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/diagram-project.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Knowledge Graphs</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/hybrid-search"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/magnifying-glass.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Hybrid Search</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/advanced-rag"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/wand-magic-sparkles.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Advanced RAG</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/agent"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/robot.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Agents</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/multimodal"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/eye.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Multimodal RAG</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/web-dev"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/window.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Web Development</div></div></a></li></div><div class="mt-12 lg:mt-8"><h5 class="pl-4 mb-3.5 lg:mb-2.5 font-semibold text-gray-900 dark:text-gray-200">Auth &amp; Admin Cookbooks</h5><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/user-auth"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/users-gear.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>User Auth</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/observability"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/telescope.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Analytics &amp; Observability</div></div></a></li><li><a class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem" href="/cookbooks/application"><svg class="h-4 w-4 bg-gray-400 dark:bg-gray-500" style="-webkit-mask-image:url(https://mintlify.b-cdn.net/v6.5.1/regular/display.svg);-webkit-mask-repeat:no-repeat;-webkit-mask-position:center"></svg><div class="flex-1 flex items-center space-x-2.5"><div>Application</div></div></a></li></div><div class="mt-12 lg:mt-8"><h5 class="pl-4 mb-3.5 lg:mb-2.5 font-semibold text-gray-900 dark:text-gray-200">Deep Dives</h5><li><div class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem"><div>R2R Main</div><svg width="3" height="24" viewBox="0 -9 3 24" class="transition-transform text-gray-400 overflow-visible group-hover:text-gray-600 dark:text-gray-600 dark:group-hover:text-gray-400"><path d="M0 0L3 3L0 6" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round"></path></svg></div></li><li><div class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem"><div>Providers</div><svg width="3" height="24" viewBox="0 -9 3 24" class="transition-transform text-gray-400 overflow-visible group-hover:text-gray-600 dark:text-gray-600 dark:group-hover:text-gray-400"><path d="M0 0L3 3L0 6" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round"></path></svg></div></li><li><div class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem"><div>Pipelines</div><svg width="3" height="24" viewBox="0 -9 3 24" class="transition-transform text-gray-400 overflow-visible group-hover:text-gray-600 dark:text-gray-600 dark:group-hover:text-gray-400"><path d="M0 0L3 3L0 6" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round"></path></svg></div></li><li><div class="group mt-2 lg:mt-0 flex items-center pr-3 py-1.5 cursor-pointer focus:outline-primary dark:focus:outline-primary-light space-x-3 rounded-lg hover:bg-gray-600/5 dark:hover:bg-gray-200/5 text-gray-700 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300" style="padding-left:1rem"><div>Other</div><svg width="3" height="24" viewBox="0 -9 3 24" class="transition-transform text-gray-400 overflow-visible group-hover:text-gray-600 dark:text-gray-600 dark:group-hover:text-gray-400"><path d="M0 0L3 3L0 6" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round"></path></svg></div></li></div></ul></div></div></div><div class="" id="content-container"><div class="flex flex-row items-stretch gap-12 pt-40 lg:pt-10"><div class="relative grow overflow-hidden mx-auto px-1 lg:-ml-12 lg:pl-[23.7rem]" id="content-area"><header id="header" class="relative"><div class="mt-0.5 space-y-2.5"><div class="eyebrow h-5 text-primary dark:text-primary-light text-sm font-semibold">Get Started</div><div class="flex items-center"><h1 class="inline-block text-2xl sm:text-3xl font-extrabold text-gray-900 tracking-tight dark:text-gray-200">Introduction</h1></div></div><div class="mt-2 text-lg prose prose-gray dark:prose-invert"><p>Build, scale, and manage user-facing Retrieval-Augmented Generation applications.</p></div></header><div class="flex flex-col gap-8"><div class="flex flex-col gap-6 xl:hidden"></div></div><div class="relative mt-8 prose prose-gray dark:prose-invert"><p><span aria-owns="rmiz-modal-" data-rmiz=""><span data-rmiz-content="not-found" style="visibility:visible"><img src="https://mintlify.s3-us-west-1.amazonaws.com/r2r/images/r2r.png" alt="r2r"/></span></span></p>
+<p>R2R (RAG to Riches), the Supabase for RAG, bridges the gap between experimenting with and deploying production-ready Retrieval-Augmented Generation (RAG) applications. It’s a complete platform that helps you quickly build and launch scalable RAG solutions. R2R is built around a simple <a href="/api-reference/introduction">RESTful API</a>, making it easy to use and fast to implement.</p>
+<h2 class="flex whitespace-pre-wrap group" id="key-features"><div class="absolute"><a href="#key-features" class="-ml-10 flex items-center opacity-0 border-0 group-hover:opacity-100" aria-label="Navigate to header">​<div class="w-6 h-6 text-gray-400 rounded-md flex items-center justify-center zinc-box bg-white ring-1 ring-gray-400/30 dark:ring-gray-700/25 hover:ring-gray-400/60 dark:hover:ring-white/20"><svg xmlns="http://www.w3.org/2000/svg" fill="gray" height="12px" viewBox="0 0 576 512"><path d="M0 256C0 167.6 71.6 96 160 96h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C98.1 144 48 194.1 48 256s50.1 112 112 112h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C71.6 416 0 344.4 0 256zm576 0c0 88.4-71.6 160-160 160H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c61.9 0 112-50.1 112-112s-50.1-112-112-112H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c88.4 0 160 71.6 160 160zM184 232H392c13.3 0 24 10.7 24 24s-10.7 24-24 24H184c-13.3 0-24-10.7-24-24s10.7-24 24-24z"></path></svg></div></a></div><span class="cursor-pointer">Key Features</span></h2>
+<ul>
+<li><strong>📁 Multimodal Support</strong>: Ingest files ranging from <code>.txt</code>, <code>.pdf</code>, <code>.json</code> to <code>.png</code>, <code>.mp3</code>, and more.</li>
+<li><strong>🔍 Hybrid Search</strong>: Combine semantic and keyword search with reciprocal rank fusion for enhanced relevancy.</li>
+<li><strong>🔗 Graph RAG</strong>: Automatically extract relationships and build knowledge graphs.</li>
+<li><strong>👤 User Management</strong>: Efficiently manage users, documents, and permissions with full authentication.</li>
+<li><strong>🔭 Observability</strong>: Observe and analyze your RAG engine performance.</li>
+<li><strong>🔌 Extensibility</strong>: Develop your application further with easy builder + factory pattern.</li>
+<li><strong>🖥️ WebApp</strong>: Interact with and manage R2R with the <a href="https://github.com/SciPhi-AI/R2R-Application" target="_blank" rel="noreferrer">R2R Application</a>, an open-source React+Next.js front-end with integrated authentication for user-facing applications.</li>
+</ul>
+<h2 class="flex whitespace-pre-wrap group" id="quickstart"><div class="absolute"><a href="#quickstart" class="-ml-10 flex items-center opacity-0 border-0 group-hover:opacity-100" aria-label="Navigate to header">​<div class="w-6 h-6 text-gray-400 rounded-md flex items-center justify-center zinc-box bg-white ring-1 ring-gray-400/30 dark:ring-gray-700/25 hover:ring-gray-400/60 dark:hover:ring-white/20"><svg xmlns="http://www.w3.org/2000/svg" fill="gray" height="12px" viewBox="0 0 576 512"><path d="M0 256C0 167.6 71.6 96 160 96h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C98.1 144 48 194.1 48 256s50.1 112 112 112h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C71.6 416 0 344.4 0 256zm576 0c0 88.4-71.6 160-160 160H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c61.9 0 112-50.1 112-112s-50.1-112-112-112H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c88.4 0 160 71.6 160 160zM184 232H392c13.3 0 24 10.7 24 24s-10.7 24-24 24H184c-13.3 0-24-10.7-24-24s10.7-24 24-24z"></path></svg></div></a></div><span class="cursor-pointer">Quickstart</span></h2>
+<p>After <a href="/installation">installing</a>, the <a href="/quickstart">R2R Quickstart</a> is your go to for a step-by-step guide to get up and running with R2R in minutes. The guide demonstrates R2R’s Retrieval-Augmented Generation (RAG) system by ingesting sample documents and then showcasing features for search, RAG, logging, analytics, and document management.</p>
+<h2 class="flex whitespace-pre-wrap group" id="getting-started"><div class="absolute"><a href="#getting-started" class="-ml-10 flex items-center opacity-0 border-0 group-hover:opacity-100" aria-label="Navigate to header">​<div class="w-6 h-6 text-gray-400 rounded-md flex items-center justify-center zinc-box bg-white ring-1 ring-gray-400/30 dark:ring-gray-700/25 hover:ring-gray-400/60 dark:hover:ring-white/20"><svg xmlns="http://www.w3.org/2000/svg" fill="gray" height="12px" viewBox="0 0 576 512"><path d="M0 256C0 167.6 71.6 96 160 96h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C98.1 144 48 194.1 48 256s50.1 112 112 112h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C71.6 416 0 344.4 0 256zm576 0c0 88.4-71.6 160-160 160H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c61.9 0 112-50.1 112-112s-50.1-112-112-112H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c88.4 0 160 71.6 160 160zM184 232H392c13.3 0 24 10.7 24 24s-10.7 24-24 24H184c-13.3 0-24-10.7-24-24s10.7-24 24-24z"></path></svg></div></a></div><span class="cursor-pointer">Getting Started</span></h2>
+<p>To get started with R2R, we recommend starting with the quickstart and then moving on to specific cookbooks.</p>
+<ul>
+<li><a href="/installation">Installation</a>: Quick setup using Docker or <code>pip</code></li>
+<li><a href="/quickstart">R2R Quickstart</a>: A quickstart guide designed to get you familiarized with R2R.</li>
+</ul>
+<h3 class="flex whitespace-pre-wrap group" id="rag-cookbooks"><div class="absolute"><a href="#rag-cookbooks" class="-ml-10 flex items-center opacity-0 border-0 group-hover:opacity-100" aria-label="Navigate to header">​<div class="w-6 h-6 text-gray-400 rounded-md flex items-center justify-center zinc-box bg-white ring-1 ring-gray-400/30 dark:ring-gray-700/25 hover:ring-gray-400/60 dark:hover:ring-white/20"><svg xmlns="http://www.w3.org/2000/svg" fill="gray" height="12px" viewBox="0 0 576 512"><path d="M0 256C0 167.6 71.6 96 160 96h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C98.1 144 48 194.1 48 256s50.1 112 112 112h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C71.6 416 0 344.4 0 256zm576 0c0 88.4-71.6 160-160 160H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c61.9 0 112-50.1 112-112s-50.1-112-112-112H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c88.4 0 160 71.6 160 160zM184 232H392c13.3 0 24 10.7 24 24s-10.7 24-24 24H184c-13.3 0-24-10.7-24-24s10.7-24 24-24z"></path></svg></div></a></div><span class="cursor-pointer">RAG Cookbooks</span></h3>
+<ul>
+<li>
+<p><a href="/cookbooks/basic-configuration">Basic Configuration</a>: A simple cookbook showing how to configure R2R.</p>
+</li>
+<li>
+<p><a href="/cookbooks/local-rag">Local RAG</a>: A quick cookbook demonstration of how to run R2R locally with open-source LLMs.</p>
+</li>
+<li>
+<p><a href="/cookbooks/knowledge-graph">Knowledge Graphs</a>: A walkthrough of automatic knowledge graph generation with R2R.</p>
+</li>
+<li>
+<p><a href="/cookbooks/hybrid-search">Hybrid Search</a>: A brief introduction to running hybrid search with R2R.</p>
+</li>
+<li>
+<p><a href="/cookbooks/advanced-rag">Advanced RAG</a>: Leanr how to take advantage of R2R’s advanced RAG features.</p>
+</li>
+<li>
+<p><a href="/cookbooks/agent">RAG Agent</a>: Get started with R2R’s powerful RAG agent.</p>
+</li>
+<li>
+<p><a href="/cookbooks/multimodal">Multimodal RAG</a>: A cookbook on multimodal RAG with R2R.</p>
+</li>
+<li>
+<p><a href="/cookbooks/web-dev">Web Development</a>: A quick introduction on how to build webapps using R2R</p>
+</li>
+</ul>
+<h3 class="flex whitespace-pre-wrap group" id="auth-and-admin-features"><div class="absolute"><a href="#auth-and-admin-features" class="-ml-10 flex items-center opacity-0 border-0 group-hover:opacity-100" aria-label="Navigate to header">​<div class="w-6 h-6 text-gray-400 rounded-md flex items-center justify-center zinc-box bg-white ring-1 ring-gray-400/30 dark:ring-gray-700/25 hover:ring-gray-400/60 dark:hover:ring-white/20"><svg xmlns="http://www.w3.org/2000/svg" fill="gray" height="12px" viewBox="0 0 576 512"><path d="M0 256C0 167.6 71.6 96 160 96h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C98.1 144 48 194.1 48 256s50.1 112 112 112h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C71.6 416 0 344.4 0 256zm576 0c0 88.4-71.6 160-160 160H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c61.9 0 112-50.1 112-112s-50.1-112-112-112H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c88.4 0 160 71.6 160 160zM184 232H392c13.3 0 24 10.7 24 24s-10.7 24-24 24H184c-13.3 0-24-10.7-24-24s10.7-24 24-24z"></path></svg></div></a></div><span class="cursor-pointer">Auth &amp; Admin Features</span></h3>
+<ul>
+<li><a href="/cookbooks/user-auth">User Auth</a>: A cookbook showing how to authenticate users using R2R.</li>
+<li><a href="/cookbooks/observability">Analytics &amp; Observability</a>: A cookbook showing R2R’s end to end logging and analytics.</li>
+<li><a href="/cookbooks/application">Web APplication</a>: A how-to guide on connecting with the R2R Application.</li>
+</ul>
+<h2 class="flex whitespace-pre-wrap group" id="community"><div class="absolute"><a href="#community" class="-ml-10 flex items-center opacity-0 border-0 group-hover:opacity-100" aria-label="Navigate to header">​<div class="w-6 h-6 text-gray-400 rounded-md flex items-center justify-center zinc-box bg-white ring-1 ring-gray-400/30 dark:ring-gray-700/25 hover:ring-gray-400/60 dark:hover:ring-white/20"><svg xmlns="http://www.w3.org/2000/svg" fill="gray" height="12px" viewBox="0 0 576 512"><path d="M0 256C0 167.6 71.6 96 160 96h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C98.1 144 48 194.1 48 256s50.1 112 112 112h72c13.3 0 24 10.7 24 24s-10.7 24-24 24H160C71.6 416 0 344.4 0 256zm576 0c0 88.4-71.6 160-160 160H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c61.9 0 112-50.1 112-112s-50.1-112-112-112H344c-13.3 0-24-10.7-24-24s10.7-24 24-24h72c88.4 0 160 71.6 160 160zM184 232H392c13.3 0 24 10.7 24 24s-10.7 24-24 24H184c-13.3 0-24-10.7-24-24s10.7-24 24-24z"></path></svg></div></a></div><span class="cursor-pointer">Community</span></h2>
+<p><a href="https://discord.gg/p6KqD2kjtB" target="_blank" rel="noreferrer">Join our Discord server</a> to get support and connect with both the R2R team and other developers in the community. Whether you’re encountering issues, looking for advice on best practices, or just want to share your experiences, we’re here to help.</p></div><div class="leading-6 mt-14"><div class="pb-16 w-full"><div class="flex flex-col gap-y-4 xl:flex-col xl:gap-6 min-[1400px]:flex-row md:flex-row md:justify-end"><div class="flex flex-row gap-5 items-center grow justify-between  md:justify-start xl:justify-between min-[1400px]:justify-start"><p class="text-sm text-gray-600 dark:text-gray-400">Was this page helpful?</p><div class="flex flex-row gap-3 items-center"><button class="px-[14px] py-2 flex flex-row gap-[10px] items-center border rounded-lg text-gray-600 dark:text-gray-400 hover:text-gray-700 dark:hover:text-gray-300 bg-white/50 border-gray-200 dark:border-gray-800 dark:bg-codeblock/50 hover:border-gray-400 hover:dark:border-gray-500"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 16 16" class="fill-current"><path d="M10.1187 1.08741C8.925 0.746789 7.67813 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w-[16.5rem] overflow-y-auto space-y-2 h-[calc(100%-10rem)]"><div class="text-gray-700 dark:text-gray-300 font-medium flex items-center space-x-2"><svg width="16" height="16" viewBox="0 0 16 16" fill="none" stroke="currentColor" stroke-width="2" xmlns="http://www.w3.org/2000/svg" class="h-3 w-3"><path d="M2.44434 12.6665H13.5554" stroke-linecap="round" stroke-linejoin="round"></path><path d="M2.44434 3.3335H13.5554" stroke-linecap="round" stroke-linejoin="round"></path><path d="M2.44434 8H7.33323" stroke-linecap="round" stroke-linejoin="round"></path></svg><span>On this page</span></div><ul><li><a href="#key-features" class="py-1 block font-medium hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300">Key Features</a></li><li><a href="#quickstart" class="py-1 block font-medium hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300">Quickstart</a></li><li><a href="#getting-started" class="py-1 block font-medium hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300">Getting Started</a></li><li style="margin-left:1rem"><a href="#rag-cookbooks" class="group flex items-start py-1 whitespace-pre-wrap text-gray-500 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300">RAG Cookbooks</a></li><li style="margin-left:1rem"><a href="#auth-and-admin-features" class="group flex items-start py-1 whitespace-pre-wrap text-gray-500 hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300">Auth &amp; Admin Features</a></li><li><a href="#community" class="py-1 block font-medium hover:text-gray-900 dark:text-gray-400 dark:hover:text-gray-300">Community</a></li></ul></div></div></div></div></div></div></main></div><script data-cfasync="false" src="/cdn-cgi/scripts/5c5dd728/cloudflare-static/email-decode.min.js"></script><script id="__NEXT_DATA__" type="application/json">{"props":{"pageProps":{"mdxSource":{"compiledSource":"/*@jsxRuntime automatic @jsxImportSource react*/\nconst {Fragment: _Fragment, jsx: _jsx, jsxs: _jsxs} = 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+                        title="Search Wikipedia [f]"
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+                        id="searchInput"
+                      />
+                      <span
+                        class="cdx-text-input__icon cdx-text-input__start-icon"
+                      ></span>
+                    </div>
+                    <input type="hidden" name="title" value="Special:Search" />
+                  </div>
+                  <button class="cdx-button cdx-search-input__end-button">
+                    Search
+                  </button>
+                </form>
+              </div>
+            </div>
+          </div>
+
+          <nav
+            class="vector-user-links vector-user-links-wide"
+            aria-label="Personal tools"
+          >
+            <div class="vector-user-links-main">
+              <div
+                id="p-vector-user-menu-preferences"
+                class="vector-menu mw-portlet emptyPortlet"
+              >
+                <div class="vector-menu-content">
+                  <ul class="vector-menu-content-list"></ul>
+                </div>
+              </div>
+
+              <div
+                id="p-vector-user-menu-userpage"
+                class="vector-menu mw-portlet emptyPortlet"
+              >
+                <div class="vector-menu-content">
+                  <ul class="vector-menu-content-list"></ul>
+                </div>
+              </div>
+
+              <nav class="vector-appearance-landmark" aria-label="Appearance">
+                <div id="vector-appearance-dropdown" class="vector-dropdown">
+                  <input
+                    type="checkbox"
+                    id="vector-appearance-dropdown-checkbox"
+                    role="button"
+                    aria-haspopup="true"
+                    data-event-name="ui.dropdown-vector-appearance-dropdown"
+                    class="vector-dropdown-checkbox"
+                    aria-label="Appearance"
+                  />
+                  <label
+                    id="vector-appearance-dropdown-label"
+                    for="vector-appearance-dropdown-checkbox"
+                    class="vector-dropdown-label cdx-button cdx-button--fake-button cdx-button--fake-button--enabled cdx-button--weight-quiet cdx-button--icon-only"
+                    aria-hidden="true"
+                    ><span
+                      class="vector-icon mw-ui-icon-appearance mw-ui-icon-wikimedia-appearance"
+                    ></span>
+
+                    <span class="vector-dropdown-label-text">Appearance</span>
+                  </label>
+                  <div class="vector-dropdown-content">
+                    <div
+                      id="vector-appearance-unpinned-container"
+                      class="vector-unpinned-container"
+                    ></div>
+                  </div>
+                </div>
+              </nav>
+
+              <div
+                id="p-vector-user-menu-notifications"
+                class="vector-menu mw-portlet emptyPortlet"
+              >
+                <div class="vector-menu-content">
+                  <ul class="vector-menu-content-list"></ul>
+                </div>
+              </div>
+
+              <div
+                id="p-vector-user-menu-overflow"
+                class="vector-menu mw-portlet"
+              >
+                <div class="vector-menu-content">
+                  <ul class="vector-menu-content-list">
+                    <li
+                      id="pt-createaccount-2"
+                      class="user-links-collapsible-item mw-list-item user-links-collapsible-item"
+                    >
+                      <a
+                        data-mw="interface"
+                        href="/w/index.php?title=Special:CreateAccount&amp;returnto=Retrieval-augmented+generation"
+                        title="You are encouraged to create an account and log in; however, it is not mandatory"
+                        class=""
+                        ><span>Create account</span></a
+                      >
+                    </li>
+                    <li
+                      id="pt-login-2"
+                      class="user-links-collapsible-item mw-list-item user-links-collapsible-item"
+                    >
+                      <a
+                        data-mw="interface"
+                        href="/w/index.php?title=Special:UserLogin&amp;returnto=Retrieval-augmented+generation"
+                        title="You&#039;re encouraged to log in; however, it&#039;s not mandatory. [o]"
+                        accesskey="o"
+                        class=""
+                        ><span>Log in</span></a
+                      >
+                    </li>
+                  </ul>
+                </div>
+              </div>
+            </div>
+
+            <div
+              id="vector-user-links-dropdown"
+              class="vector-dropdown vector-user-menu vector-button-flush-right vector-user-menu-logged-out"
+              title="Log in and more options"
+            >
+              <input
+                type="checkbox"
+                id="vector-user-links-dropdown-checkbox"
+                role="button"
+                aria-haspopup="true"
+                data-event-name="ui.dropdown-vector-user-links-dropdown"
+                class="vector-dropdown-checkbox"
+                aria-label="Personal tools"
+              />
+              <label
+                id="vector-user-links-dropdown-label"
+                for="vector-user-links-dropdown-checkbox"
+                class="vector-dropdown-label cdx-button cdx-button--fake-button cdx-button--fake-button--enabled cdx-button--weight-quiet cdx-button--icon-only"
+                aria-hidden="true"
+                ><span
+                  class="vector-icon mw-ui-icon-ellipsis mw-ui-icon-wikimedia-ellipsis"
+                ></span>
+
+                <span class="vector-dropdown-label-text">Personal tools</span>
+              </label>
+              <div class="vector-dropdown-content">
+                <div
+                  id="p-personal"
+                  class="vector-menu mw-portlet mw-portlet-personal user-links-collapsible-item"
+                  title="User menu"
+                >
+                  <div class="vector-menu-content">
+                    <ul class="vector-menu-content-list">
+                      <li
+                        id="pt-createaccount"
+                        class="user-links-collapsible-item mw-list-item"
+                      >
+                        <a
+                          href="/w/index.php?title=Special:CreateAccount&amp;returnto=Retrieval-augmented+generation"
+                          title="You are encouraged to create an account and log in; however, it is not mandatory"
+                          ><span
+                            class="vector-icon mw-ui-icon-userAdd mw-ui-icon-wikimedia-userAdd"
+                          ></span>
+                          <span>Create account</span></a
+                        >
+                      </li>
+                      <li
+                        id="pt-login"
+                        class="user-links-collapsible-item mw-list-item"
+                      >
+                        <a
+                          href="/w/index.php?title=Special:UserLogin&amp;returnto=Retrieval-augmented+generation"
+                          title="You&#039;re encouraged to log in; however, it&#039;s not mandatory. [o]"
+                          accesskey="o"
+                          ><span
+                            class="vector-icon mw-ui-icon-logIn mw-ui-icon-wikimedia-logIn"
+                          ></span>
+                          <span>Log in</span></a
+                        >
+                      </li>
+                    </ul>
+                  </div>
+                </div>
+
+                <div
+                  id="p-user-menu-anon-editor"
+                  class="vector-menu mw-portlet mw-portlet-user-menu-anon-editor"
+                >
+                  <div class="vector-menu-heading">
+                    Pages for logged out editors
+                    <a
+                      href="/wiki/Help:Introduction"
+                      aria-label="Learn more about editing"
+                      ><span>learn more</span></a
+                    >
+                  </div>
+                  <div class="vector-menu-content">
+                    <ul class="vector-menu-content-list">
+                      <li id="pt-anoncontribs" class="mw-list-item">
+                        <a
+                          href="/wiki/Special:MyContributions"
+                          title="A list of edits made from this IP address [y]"
+                          accesskey="y"
+                          ><span>Contributions</span></a
+                        >
+                      </li>
+                      <li id="pt-anontalk" class="mw-list-item">
+                        <a
+                          href="/wiki/Special:MyTalk"
+                          title="Discussion about edits from this IP address [n]"
+                          accesskey="n"
+                          ><span>Talk</span></a
+                        >
+                      </li>
+                    </ul>
+                  </div>
+                </div>
+              </div>
+            </div>
+          </nav>
+        </div>
+      </header>
+    </div>
+    <div class="mw-page-container">
+      <div class="mw-page-container-inner">
+        <div class="vector-sitenotice-container">
+          <div id="siteNotice" class="notheme"><!-- CentralNotice --></div>
+        </div>
+        <div class="vector-column-start">
+          <div class="vector-main-menu-container">
+            <div id="mw-navigation">
+              <nav
+                id="mw-panel"
+                class="vector-main-menu-landmark"
+                aria-label="Site"
+              >
+                <div
+                  id="vector-main-menu-pinned-container"
+                  class="vector-pinned-container"
+                ></div>
+              </nav>
+            </div>
+          </div>
+          <div class="vector-sticky-pinned-container">
+            <nav
+              id="mw-panel-toc"
+              aria-label="Contents"
+              data-event-name="ui.sidebar-toc"
+              class="mw-table-of-contents-container vector-toc-landmark"
+            >
+              <div
+                id="vector-toc-pinned-container"
+                class="vector-pinned-container"
+              >
+                <div id="vector-toc" class="vector-toc vector-pinnable-element">
+                  <div
+                    class="vector-pinnable-header vector-toc-pinnable-header vector-pinnable-header-pinned"
+                    data-feature-name="toc-pinned"
+                    data-pinnable-element-id="vector-toc"
+                  >
+                    <h2 class="vector-pinnable-header-label">Contents</h2>
+                    <button
+                      class="vector-pinnable-header-toggle-button vector-pinnable-header-pin-button"
+                      data-event-name="pinnable-header.vector-toc.pin"
+                    >
+                      move to sidebar
+                    </button>
+                    <button
+                      class="vector-pinnable-header-toggle-button vector-pinnable-header-unpin-button"
+                      data-event-name="pinnable-header.vector-toc.unpin"
+                    >
+                      hide
+                    </button>
+                  </div>
+
+                  <ul class="vector-toc-contents" id="mw-panel-toc-list">
+                    <li
+                      id="toc-mw-content-text"
+                      class="vector-toc-list-item vector-toc-level-1"
+                    >
+                      <a href="#" class="vector-toc-link">
+                        <div class="vector-toc-text">(Top)</div>
+                      </a>
+                    </li>
+                    <li
+                      id="toc-Process"
+                      class="vector-toc-list-item vector-toc-level-1 vector-toc-list-item-expanded"
+                    >
+                      <a class="vector-toc-link" href="#Process">
+                        <div class="vector-toc-text">
+                          <span class="vector-toc-numb">1</span>
+                          <span>Process</span>
+                        </div>
+                      </a>
+
+                      <button
+                        aria-controls="toc-Process-sublist"
+                        class="cdx-button cdx-button--weight-quiet cdx-button--icon-only vector-toc-toggle"
+                      >
+                        <span
+                          class="vector-icon mw-ui-icon-wikimedia-expand"
+                        ></span>
+                        <span>Toggle Process subsection</span>
+                      </button>
+
+                      <ul id="toc-Process-sublist" class="vector-toc-list">
+                        <li
+                          id="toc-Indexing"
+                          class="vector-toc-list-item vector-toc-level-2"
+                        >
+                          <a class="vector-toc-link" href="#Indexing">
+                            <div class="vector-toc-text">
+                              <span class="vector-toc-numb">1.1</span>
+                              <span>Indexing</span>
+                            </div>
+                          </a>
+
+                          <ul
+                            id="toc-Indexing-sublist"
+                            class="vector-toc-list"
+                          ></ul>
+                        </li>
+                        <li
+                          id="toc-Retrieval"
+                          class="vector-toc-list-item vector-toc-level-2"
+                        >
+                          <a class="vector-toc-link" href="#Retrieval">
+                            <div class="vector-toc-text">
+                              <span class="vector-toc-numb">1.2</span>
+                              <span>Retrieval</span>
+                            </div>
+                          </a>
+
+                          <ul
+                            id="toc-Retrieval-sublist"
+                            class="vector-toc-list"
+                          ></ul>
+                        </li>
+                        <li
+                          id="toc-Augmentation"
+                          class="vector-toc-list-item vector-toc-level-2"
+                        >
+                          <a class="vector-toc-link" href="#Augmentation">
+                            <div class="vector-toc-text">
+                              <span class="vector-toc-numb">1.3</span>
+                              <span>Augmentation</span>
+                            </div>
+                          </a>
+
+                          <ul
+                            id="toc-Augmentation-sublist"
+                            class="vector-toc-list"
+                          ></ul>
+                        </li>
+                        <li
+                          id="toc-Generation"
+                          class="vector-toc-list-item vector-toc-level-2"
+                        >
+                          <a class="vector-toc-link" href="#Generation">
+                            <div class="vector-toc-text">
+                              <span class="vector-toc-numb">1.4</span>
+                              <span>Generation</span>
+                            </div>
+                          </a>
+
+                          <ul
+                            id="toc-Generation-sublist"
+                            class="vector-toc-list"
+                          ></ul>
+                        </li>
+                      </ul>
+                    </li>
+                    <li
+                      id="toc-Improvements"
+                      class="vector-toc-list-item vector-toc-level-1 vector-toc-list-item-expanded"
+                    >
+                      <a class="vector-toc-link" href="#Improvements">
+                        <div class="vector-toc-text">
+                          <span class="vector-toc-numb">2</span>
+                          <span>Improvements</span>
+                        </div>
+                      </a>
+
+                      <button
+                        aria-controls="toc-Improvements-sublist"
+                        class="cdx-button cdx-button--weight-quiet cdx-button--icon-only vector-toc-toggle"
+                      >
+                        <span
+                          class="vector-icon mw-ui-icon-wikimedia-expand"
+                        ></span>
+                        <span>Toggle Improvements subsection</span>
+                      </button>
+
+                      <ul id="toc-Improvements-sublist" class="vector-toc-list">
+                        <li
+                          id="toc-Encoder"
+                          class="vector-toc-list-item vector-toc-level-2"
+                        >
+                          <a class="vector-toc-link" href="#Encoder">
+                            <div class="vector-toc-text">
+                              <span class="vector-toc-numb">2.1</span>
+                              <span>Encoder</span>
+                            </div>
+                          </a>
+
+                          <ul
+                            id="toc-Encoder-sublist"
+                            class="vector-toc-list"
+                          ></ul>
+                        </li>
+                        <li
+                          id="toc-Retriever-centric_methods"
+                          class="vector-toc-list-item vector-toc-level-2"
+                        >
+                          <a
+                            class="vector-toc-link"
+                            href="#Retriever-centric_methods"
+                          >
+                            <div class="vector-toc-text">
+                              <span class="vector-toc-numb">2.2</span>
+                              <span>Retriever-centric methods</span>
+                            </div>
+                          </a>
+
+                          <ul
+                            id="toc-Retriever-centric_methods-sublist"
+                            class="vector-toc-list"
+                          ></ul>
+                        </li>
+                        <li
+                          id="toc-Language_model"
+                          class="vector-toc-list-item vector-toc-level-2"
+                        >
+                          <a class="vector-toc-link" href="#Language_model">
+                            <div class="vector-toc-text">
+                              <span class="vector-toc-numb">2.3</span>
+                              <span>Language model</span>
+                            </div>
+                          </a>
+
+                          <ul
+                            id="toc-Language_model-sublist"
+                            class="vector-toc-list"
+                          ></ul>
+                        </li>
+                        <li
+                          id="toc-Chunking"
+                          class="vector-toc-list-item vector-toc-level-2"
+                        >
+                          <a class="vector-toc-link" href="#Chunking">
+                            <div class="vector-toc-text">
+                              <span class="vector-toc-numb">2.4</span>
+                              <span>Chunking</span>
+                            </div>
+                          </a>
+
+                          <ul
+                            id="toc-Chunking-sublist"
+                            class="vector-toc-list"
+                          ></ul>
+                        </li>
+                      </ul>
+                    </li>
+                    <li
+                      id="toc-Challenges"
+                      class="vector-toc-list-item vector-toc-level-1 vector-toc-list-item-expanded"
+                    >
+                      <a class="vector-toc-link" href="#Challenges">
+                        <div class="vector-toc-text">
+                          <span class="vector-toc-numb">3</span>
+                          <span>Challenges</span>
+                        </div>
+                      </a>
+
+                      <ul
+                        id="toc-Challenges-sublist"
+                        class="vector-toc-list"
+                      ></ul>
+                    </li>
+                    <li
+                      id="toc-References"
+                      class="vector-toc-list-item vector-toc-level-1 vector-toc-list-item-expanded"
+                    >
+                      <a class="vector-toc-link" href="#References">
+                        <div class="vector-toc-text">
+                          <span class="vector-toc-numb">4</span>
+                          <span>References</span>
+                        </div>
+                      </a>
+
+                      <ul
+                        id="toc-References-sublist"
+                        class="vector-toc-list"
+                      ></ul>
+                    </li>
+                  </ul>
+                </div>
+              </div>
+            </nav>
+          </div>
+        </div>
+        <div class="mw-content-container">
+          <main id="content" class="mw-body">
+            <header class="mw-body-header vector-page-titlebar">
+              <nav aria-label="Contents" class="vector-toc-landmark">
+                <div
+                  id="vector-page-titlebar-toc"
+                  class="vector-dropdown vector-page-titlebar-toc vector-button-flush-left"
+                >
+                  <input
+                    type="checkbox"
+                    id="vector-page-titlebar-toc-checkbox"
+                    role="button"
+                    aria-haspopup="true"
+                    data-event-name="ui.dropdown-vector-page-titlebar-toc"
+                    class="vector-dropdown-checkbox"
+                    aria-label="Toggle the table of contents"
+                  />
+                  <label
+                    id="vector-page-titlebar-toc-label"
+                    for="vector-page-titlebar-toc-checkbox"
+                    class="vector-dropdown-label cdx-button cdx-button--fake-button cdx-button--fake-button--enabled cdx-button--weight-quiet cdx-button--icon-only"
+                    aria-hidden="true"
+                    ><span
+                      class="vector-icon mw-ui-icon-listBullet mw-ui-icon-wikimedia-listBullet"
+                    ></span>
+
+                    <span class="vector-dropdown-label-text"
+                      >Toggle the table of contents</span
+                    >
+                  </label>
+                  <div class="vector-dropdown-content">
+                    <div
+                      id="vector-page-titlebar-toc-unpinned-container"
+                      class="vector-unpinned-container"
+                    ></div>
+                  </div>
+                </div>
+              </nav>
+              <h1 id="firstHeading" class="firstHeading mw-first-heading">
+                <span class="mw-page-title-main"
+                  >Retrieval-augmented generation</span
+                >
+              </h1>
+
+              <div
+                id="p-lang-btn"
+                class="vector-dropdown mw-portlet mw-portlet-lang"
+              >
+                <input
+                  type="checkbox"
+                  id="p-lang-btn-checkbox"
+                  role="button"
+                  aria-haspopup="true"
+                  data-event-name="ui.dropdown-p-lang-btn"
+                  class="vector-dropdown-checkbox mw-interlanguage-selector"
+                  aria-label="Go to an article in another language. Available in 1 language"
+                />
+                <label
+                  id="p-lang-btn-label"
+                  for="p-lang-btn-checkbox"
+                  class="vector-dropdown-label cdx-button cdx-button--fake-button cdx-button--fake-button--enabled cdx-button--weight-quiet cdx-button--action-progressive mw-portlet-lang-heading-1"
+                  aria-hidden="true"
+                  ><span
+                    class="vector-icon mw-ui-icon-language-progressive mw-ui-icon-wikimedia-language-progressive"
+                  ></span>
+
+                  <span class="vector-dropdown-label-text">1 language</span>
+                </label>
+                <div class="vector-dropdown-content">
+                  <div class="vector-menu-content">
+                    <ul class="vector-menu-content-list">
+                      <li class="interlanguage-link interwiki-de mw-list-item">
+                        <a
+                          href="https://de.wikipedia.org/wiki/Retrieval_Augmented_Generation"
+                          title="Retrieval Augmented Generation – German"
+                          lang="de"
+                          hreflang="de"
+                          class="interlanguage-link-target"
+                          ><span>Deutsch</span></a
+                        >
+                      </li>
+                    </ul>
+                    <div class="after-portlet after-portlet-lang">
+                      <span class="wb-langlinks-edit wb-langlinks-link"
+                        ><a
+                          href="https://www.wikidata.org/wiki/Special:EntityPage/Q121362277#sitelinks-wikipedia"
+                          title="Edit interlanguage links"
+                          class="wbc-editpage"
+                          >Edit links</a
+                        ></span
+                      >
+                    </div>
+                  </div>
+                </div>
+              </div>
+            </header>
+            <div class="vector-page-toolbar">
+              <div class="vector-page-toolbar-container">
+                <div id="left-navigation">
+                  <nav aria-label="Namespaces">
+                    <div
+                      id="p-associated-pages"
+                      class="vector-menu vector-menu-tabs mw-portlet mw-portlet-associated-pages"
+                    >
+                      <div class="vector-menu-content">
+                        <ul class="vector-menu-content-list">
+                          <li
+                            id="ca-nstab-main"
+                            class="selected vector-tab-noicon mw-list-item"
+                          >
+                            <a
+                              href="/wiki/Retrieval-augmented_generation"
+                              title="View the content page [c]"
+                              accesskey="c"
+                              ><span>Article</span></a
+                            >
+                          </li>
+                          <li
+                            id="ca-talk"
+                            class="vector-tab-noicon mw-list-item"
+                          >
+                            <a
+                              href="/wiki/Talk:Retrieval-augmented_generation"
+                              rel="discussion"
+                              title="Discuss improvements to the content page [t]"
+                              accesskey="t"
+                              ><span>Talk</span></a
+                            >
+                          </li>
+                        </ul>
+                      </div>
+                    </div>
+
+                    <div
+                      id="vector-variants-dropdown"
+                      class="vector-dropdown emptyPortlet"
+                    >
+                      <input
+                        type="checkbox"
+                        id="vector-variants-dropdown-checkbox"
+                        role="button"
+                        aria-haspopup="true"
+                        data-event-name="ui.dropdown-vector-variants-dropdown"
+                        class="vector-dropdown-checkbox"
+                        aria-label="Change language variant"
+                      />
+                      <label
+                        id="vector-variants-dropdown-label"
+                        for="vector-variants-dropdown-checkbox"
+                        class="vector-dropdown-label cdx-button cdx-button--fake-button cdx-button--fake-button--enabled cdx-button--weight-quiet"
+                        aria-hidden="true"
+                        ><span class="vector-dropdown-label-text">English</span>
+                      </label>
+                      <div class="vector-dropdown-content">
+                        <div
+                          id="p-variants"
+                          class="vector-menu mw-portlet mw-portlet-variants emptyPortlet"
+                        >
+                          <div class="vector-menu-content">
+                            <ul class="vector-menu-content-list"></ul>
+                          </div>
+                        </div>
+                      </div>
+                    </div>
+                  </nav>
+                </div>
+                <div id="right-navigation" class="vector-collapsible">
+                  <nav aria-label="Views">
+                    <div
+                      id="p-views"
+                      class="vector-menu vector-menu-tabs mw-portlet mw-portlet-views"
+                    >
+                      <div class="vector-menu-content">
+                        <ul class="vector-menu-content-list">
+                          <li
+                            id="ca-view"
+                            class="selected vector-tab-noicon mw-list-item"
+                          >
+                            <a href="/wiki/Retrieval-augmented_generation"
+                              ><span>Read</span></a
+                            >
+                          </li>
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+            >
+              <div class="vector-body-before-content">
+                <div class="mw-indicators"></div>
+
+                <div id="siteSub" class="noprint">
+                  From Wikipedia, the free encyclopedia
+                </div>
+              </div>
+              <div id="contentSub"><div id="mw-content-subtitle"></div></div>
+
+              <div id="mw-content-text" class="mw-body-content">
+                <div
+                  class="mw-content-ltr mw-parser-output"
+                  lang="en"
+                  dir="ltr"
+                >
+                  <div
+                    class="shortdescription nomobile noexcerpt noprint searchaux"
+                    style="display: none"
+                  >
+                    Type of information retrieval using LLMs
+                  </div>
+                  <p>
+                    <b>Retrieval augmented generation</b> (<b>RAG</b>) is a type
+                    of
+                    <a
+                      href="/wiki/Information_retrieval"
+                      title="Information retrieval"
+                      >information retrieval</a
+                    >
+                    process. It modifies interactions with a
+                    <a
+                      href="/wiki/Large_language_model"
+                      title="Large language model"
+                      >large language model</a
+                    >
+                    (LLM) so that it responds to queries with reference to a
+                    specified set of documents, using it in preference to
+                    information drawn from its own vast, static
+                    <a
+                      href="/wiki/Training_data"
+                      class="mw-redirect"
+                      title="Training data"
+                      >training data</a
+                    >. This allows LLMs to use domain-specific and/or updated
+                    information.<sup id="cite_ref-Survey_1-0" class="reference"
+                      ><a href="#cite_note-Survey-1"
+                        ><span class="cite-bracket">&#91;</span>1<span
+                          class="cite-bracket"
+                          >&#93;</span
+                        ></a
+                      ></sup
+                    >
+                    Use cases include providing chatbot access to internal
+                    company data, or giving factual information only from an
+                    authoritative source.<sup
+                      id="cite_ref-AWS_2-0"
+                      class="reference"
+                      ><a href="#cite_note-AWS-2"
+                        ><span class="cite-bracket">&#91;</span>2<span
+                          class="cite-bracket"
+                          >&#93;</span
+                        ></a
+                      ></sup
+                    >
+                  </p>
+                  <meta property="mw:PageProp/toc" />
+                  <div class="mw-heading mw-heading2">
+                    <h2 id="Process">Process</h2>
+                    <span class="mw-editsection"
+                      ><span class="mw-editsection-bracket">[</span
+                      ><a
+                        href="/w/index.php?title=Retrieval-augmented_generation&amp;action=edit&amp;section=1"
+                        title="Edit section: Process"
+                        ><span>edit</span></a
+                      ><span class="mw-editsection-bracket">]</span></span
+                    >
+                  </div>
+                  <p>
+                    The RAG process is made up of four key stages. First, all
+                    the data must be prepared and indexed for use by the LLM.
+                    Thereafter, each query consists of a retrieval, augmentation
+                    and a generation phase.<sup
+                      id="cite_ref-Survey_1-1"
+                      class="reference"
+                      ><a href="#cite_note-Survey-1"
+                        ><span class="cite-bracket">&#91;</span>1<span
+                          class="cite-bracket"
+                          >&#93;</span
+                        ></a
+                      ></sup
+                    >
+                  </p>
+                  <div class="mw-heading mw-heading3">
+                    <h3 id="Indexing">Indexing</h3>
+                    <span class="mw-editsection"
+                      ><span class="mw-editsection-bracket">[</span
+                      ><a
+                        href="/w/index.php?title=Retrieval-augmented_generation&amp;action=edit&amp;section=2"
+                        title="Edit section: Indexing"
+                        ><span>edit</span></a
+                      ><span class="mw-editsection-bracket">]</span></span
+                    >
+                  </div>
+                  <p>
+                    The data to be referenced must first be converted into LLM
+                    <a
+                      href="/wiki/Word_embeddings"
+                      class="mw-redirect"
+                      title="Word embeddings"
+                      >embeddings</a
+                    >, numerical representations in the form of large vectors.
+                    RAG can be used on unstructured (usually text),
+                    semi-structured, or structured data (for example
+                    <a
+                      href="/wiki/Knowledge_graphs"
+                      class="mw-redirect"
+                      title="Knowledge graphs"
+                      >knowledge graphs</a
+                    >).<sup id="cite_ref-Survey_1-2" class="reference"
+                      ><a href="#cite_note-Survey-1"
+                        ><span class="cite-bracket">&#91;</span>1<span
+                          class="cite-bracket"
+                          >&#93;</span
+                        ></a
+                      ></sup
+                    >
+                    These embeddings are then stored in a
+                    <a href="/wiki/Vector_database" title="Vector database"
+                      >vector database</a
+                    >
+                    to allow for
+                    <a
+                      href="/wiki/Document_retrieval"
+                      title="Document retrieval"
+                      >document retrieval</a
+                    >.
+                  </p>
+                  <figure class="mw-default-size" typeof="mw:File/Thumb">
+                    <a
+                      href="/wiki/File:RAG_diagram.svg"
+                      class="mw-file-description"
+                      ><img
+                        src="//upload.wikimedia.org/wikipedia/commons/thumb/1/14/RAG_diagram.svg/220px-RAG_diagram.svg.png"
+                        decoding="async"
+                        width="220"
+                        height="194"
+                        class="mw-file-element"
+                        srcset="
+                          //upload.wikimedia.org/wikipedia/commons/thumb/1/14/RAG_diagram.svg/330px-RAG_diagram.svg.png 1.5x,
+                          //upload.wikimedia.org/wikipedia/commons/thumb/1/14/RAG_diagram.svg/440px-RAG_diagram.svg.png 2x
+                        "
+                        data-file-width="652"
+                        data-file-height="576"
+                    /></a>
+                    <figcaption>
+                      Overview of RAG process, combining external documents and
+                      user input into an LLM prompt to get tailored output
+                    </figcaption>
+                  </figure>
+                  <div class="mw-heading mw-heading3">
+                    <h3 id="Retrieval">Retrieval</h3>
+                    <span class="mw-editsection"
+                      ><span class="mw-editsection-bracket">[</span
+                      ><a
+                        href="/w/index.php?title=Retrieval-augmented_generation&amp;action=edit&amp;section=3"
+                        title="Edit section: Retrieval"
+                        ><span>edit</span></a
+                      ><span class="mw-editsection-bracket">]</span></span
+                    >
+                  </div>
+                  <p>
+                    Given a user query, a document retriever is first called to
+                    select the most relevant documents which will be used to
+                    augment the query.<sup
+                      id="cite_ref-FCC_3-0"
+                      class="reference"
+                      ><a href="#cite_note-FCC-3"
+                        ><span class="cite-bracket">&#91;</span>3<span
+                          class="cite-bracket"
+                          >&#93;</span
+                        ></a
+                      ></sup
+                    >
+                    This comparison can be done using a variety of methods,
+                    which depend in part on the type of indexing used.<sup
+                      id="cite_ref-Survey_1-3"
+                      class="reference"
+                      ><a href="#cite_note-Survey-1"
+                        ><span class="cite-bracket">&#91;</span>1<span
+                          class="cite-bracket"
+                          >&#93;</span
+                        ></a
+                      ></sup
+                    >
+                  </p>
+                  <div class="mw-heading mw-heading3">
+                    <h3 id="Augmentation">Augmentation</h3>
+                    <span class="mw-editsection"
+                      ><span class="mw-editsection-bracket">[</span
+                      ><a
+                        href="/w/index.php?title=Retrieval-augmented_generation&amp;action=edit&amp;section=4"
+                        title="Edit section: Augmentation"
+                        ><span>edit</span></a
+                      ><span class="mw-editsection-bracket">]</span></span
+                    >
+                  </div>
+                  <p>
+                    The model feeds this relevant retrieved information into the
+                    LLM via
+                    <a
+                      href="/wiki/Prompt_engineering"
+                      title="Prompt engineering"
+                      >prompt engineering</a
+                    >
+                    of the user's original query.<sup
+                      id="cite_ref-AWS_2-1"
+                      class="reference"
+                      ><a href="#cite_note-AWS-2"
+                        ><span class="cite-bracket">&#91;</span>2<span
+                          class="cite-bracket"
+                          >&#93;</span
+                        ></a
+                      ></sup
+                    >
+                    Newer implementations (as of 2023<sup
+                      class="plainlinks noexcerpt noprint asof-tag update"
+                      style="display: none"
+                      ><a
+                        class="external text"
+                        href="https://en.wikipedia.org/w/index.php?title=Retrieval-augmented_generation&amp;action=edit"
+                        >&#91;update&#93;</a
+                      ></sup
+                    >) can also incorporate specific augmentation modules with
+                    abilities such as expanding queries into multiple domains,
+                    and using memory and self-improvement to learn from previous
+                    retrievals.<sup id="cite_ref-Survey_1-4" class="reference"
+                      ><a href="#cite_note-Survey-1"
+                        ><span class="cite-bracket">&#91;</span>1<span
+                          class="cite-bracket"
+                          >&#93;</span
+                        ></a
+                      ></sup
+                    >
+                  </p>
+                  <div class="mw-heading mw-heading3">
+                    <h3 id="Generation">Generation</h3>
+                    <span class="mw-editsection"
+                      ><span class="mw-editsection-bracket">[</span
+                      ><a
+                        href="/w/index.php?title=Retrieval-augmented_generation&amp;action=edit&amp;section=5"
+                        title="Edit section: Generation"
+                        ><span>edit</span></a
+                      ><span class="mw-editsection-bracket">]</span></span
+                    >
+                  </div>
+                  <p>
+                    Finally, the LLM can generate output based on both the query
+                    and the retrieved documents.<sup
+                      id="cite_ref-BUZBP_4-0"
+                      class="reference"
+                      ><a href="#cite_note-BUZBP-4"
+                        ><span class="cite-bracket">&#91;</span>4<span
+                          class="cite-bracket"
+                          >&#93;</span
+                        ></a
+                      ></sup
+                    >
+                    Some models incorporate extra steps to improve output such
+                    as the re-ranking of retrieved information, context
+                    selection and fine tuning.<sup
+                      id="cite_ref-Survey_1-5"
+                      class="reference"
+                      ><a href="#cite_note-Survey-1"
+                        ><span class="cite-bracket">&#91;</span>1<span
+                          class="cite-bracket"
+                          >&#93;</span
+                        ></a
+                      ></sup
+                    >
+                  </p>
+                  <div class="mw-heading mw-heading2">
+                    <h2 id="Improvements">Improvements</h2>
+                    <span class="mw-editsection"
+                      ><span class="mw-editsection-bracket">[</span
+                      ><a
+                        href="/w/index.php?title=Retrieval-augmented_generation&amp;action=edit&amp;section=6"
+                        title="Edit section: Improvements"
+                        ><span>edit</span></a
+                      ><span class="mw-editsection-bracket">]</span></span
+                    >
+                  </div>
+                  <p>
+                    Improvements to the basic process above can be applied at
+                    different stages in the RAG flow.
+                  </p>
+                  <div class="mw-heading mw-heading3">
+                    <h3 id="Encoder">Encoder</h3>
+                    <span class="mw-editsection"
+                      ><span class="mw-editsection-bracket">[</span
+                      ><a
+                        href="/w/index.php?title=Retrieval-augmented_generation&amp;action=edit&amp;section=7"
+                        title="Edit section: Encoder"
+                        ><span>edit</span></a
+                      ><span class="mw-editsection-bracket">]</span></span
+                    >
+                  </div>
+                  <p>
+                    These methods center around the encoding of text as either
+                    dense or sparse vectors. Sparse vectors, which encode the
+                    identity of a word, are typically dictionary length and
+                    contain almost all zero's. Dense vectors, which aims to
+                    encode meaning, are much smaller contain much fewer zero's.
+                  </p>
+                  <ul>
+                    <li>
+                      several enhancements can be made in the way similarities
+                      are calculated in the vector stores (databases).
+                      Performance can be improved with faster dot products,
+                      approximate nearest neighors, or centroid searches.<sup
+                        id="cite_ref-faiss_5-0"
+                        class="reference"
+                        ><a href="#cite_note-faiss-5"
+                          ><span class="cite-bracket">&#91;</span>5<span
+                            class="cite-bracket"
+                            >&#93;</span
+                          ></a
+                        ></sup
+                      >
+                      Accuracy can be improved with Late Interactions
+                      <sup id="cite_ref-colbert_6-0" class="reference"
+                        ><a href="#cite_note-colbert-6"
+                          ><span class="cite-bracket">&#91;</span>6<span
+                            class="cite-bracket"
+                            >&#93;</span
+                          ></a
+                        ></sup
+                      >
+                    </li>
+                    <li>
+                      hybrid vectors. combine dense vector representations with
+                      sparse 1-hot vectors, so that the faster sparse dot
+                      products can be used rather than dense ones.<sup
+                        id="cite_ref-splade_7-0"
+                        class="reference"
+                        ><a href="#cite_note-splade-7"
+                          ><span class="cite-bracket">&#91;</span>7<span
+                            class="cite-bracket"
+                            >&#93;</span
+                          ></a
+                        ></sup
+                      >
+                      Other methods can combine sparse methods (BM25, SPLADE)
+                      with dense ones like DRAGON.
+                    </li>
+                  </ul>
+                  <div class="mw-heading mw-heading3">
+                    <h3 id="Retriever-centric_methods">
+                      Retriever-centric methods
+                    </h3>
+                    <span class="mw-editsection"
+                      ><span class="mw-editsection-bracket">[</span
+                      ><a
+                        href="/w/index.php?title=Retrieval-augmented_generation&amp;action=edit&amp;section=8"
+                        title="Edit section: Retriever-centric methods"
+                        ><span>edit</span></a
+                      ><span class="mw-editsection-bracket">]</span></span
+                    >
+                  </div>
+                  <p>
+                    These methods focus on improving getting better hits from
+                    the vector database:
+                  </p>
+                  <ul>
+                    <li>
+                      pre-train the retriever using the Inverse Cloze Task.<sup
+                        id="cite_ref-orqa_8-0"
+                        class="reference"
+                        ><a href="#cite_note-orqa-8"
+                          ><span class="cite-bracket">&#91;</span>8<span
+                            class="cite-bracket"
+                            >&#93;</span
+                          ></a
+                        ></sup
+                      >
+                    </li>
+                    <li>
+                      progressive data augmentation. The method of Dragon
+                      samples difficult negatives to train a dense vector
+                      retriever.<sup id="cite_ref-dragon_9-0" class="reference"
+                        ><a href="#cite_note-dragon-9"
+                          ><span class="cite-bracket">&#91;</span>9<span
+                            class="cite-bracket"
+                            >&#93;</span
+                          ></a
+                        ></sup
+                      >
+                    </li>
+                    <li>
+                      Under supervision, train the retriever for a given
+                      generator. Given a prompt and the desired answer, retrieve
+                      the top-k vectors, and feed those vectors into the
+                      generator to achieve a perplexity score for the correct
+                      answer. Then minimize the KL-divergence between the
+                      observed retrieved vectors probability and LM likelihoods
+                      to adjust the retriever.<sup
+                        id="cite_ref-replug_10-0"
+                        class="reference"
+                        ><a href="#cite_note-replug-10"
+                          ><span class="cite-bracket">&#91;</span>10<span
+                            class="cite-bracket"
+                            >&#93;</span
+                          ></a
+                        ></sup
+                      >
+                    </li>
+                    <li>
+                      use reranking to train the retriever.<sup
+                        id="cite_ref-ralm_11-0"
+                        class="reference"
+                        ><a href="#cite_note-ralm-11"
+                          ><span class="cite-bracket">&#91;</span>11<span
+                            class="cite-bracket"
+                            >&#93;</span
+                          ></a
+                        ></sup
+                      >
+                    </li>
+                  </ul>
+                  <div class="mw-heading mw-heading3">
+                    <h3 id="Language_model">Language model</h3>
+                    <span class="mw-editsection"
+                      ><span class="mw-editsection-bracket">[</span
+                      ><a
+                        href="/w/index.php?title=Retrieval-augmented_generation&amp;action=edit&amp;section=9"
+                        title="Edit section: Language model"
+                        ><span>edit</span></a
+                      ><span class="mw-editsection-bracket">]</span></span
+                    >
+                  </div>
+                  <div class="center">
+                    <div class="thumb tnone" style="">
+                      <div class="thumbinner" style="width: 302px">
+                        <div class="thumbimage noresize" style="width: 300px">
+                          <span typeof="mw:File"
+                            ><a
+                              href="/wiki/File:Language_model_in_Deepmind%27s_2021_Retro_for_RAG.svg"
+                              class="mw-file-description"
+                              ><img
+                                src="//upload.wikimedia.org/wikipedia/commons/thumb/4/48/Language_model_in_Deepmind%27s_2021_Retro_for_RAG.svg/300px-Language_model_in_Deepmind%27s_2021_Retro_for_RAG.svg.png"
+                                decoding="async"
+                                width="300"
+                                height="184"
+                                class="mw-file-element"
+                                srcset="
+                                  //upload.wikimedia.org/wikipedia/commons/thumb/4/48/Language_model_in_Deepmind%27s_2021_Retro_for_RAG.svg/450px-Language_model_in_Deepmind%27s_2021_Retro_for_RAG.svg.png 1.5x,
+                                  //upload.wikimedia.org/wikipedia/commons/thumb/4/48/Language_model_in_Deepmind%27s_2021_Retro_for_RAG.svg/600px-Language_model_in_Deepmind%27s_2021_Retro_for_RAG.svg.png 2x
+                                "
+                                data-file-width="512"
+                                data-file-height="314" /></a
+                          ></span>
+                        </div>
+                        <div class="thumbcaption">
+                          Retro language model for RAG. Each Retro block consist
+                          of Attention, Chunked Cross Attention, and Feed
+                          Forward layers. Black lettered boxes show data being
+                          changed, and blue lettering show the algorithm
+                          performing the changes.
+                        </div>
+                      </div>
+                    </div>
+                  </div>
+                  <p>
+                    By redesigning the language model with the retriever in
+                    mind, a 25-times smaller network can get comparable
+                    perplexity as its much larger counterparts.<sup
+                      id="cite_ref-borgeaud_12-0"
+                      class="reference"
+                      ><a href="#cite_note-borgeaud-12"
+                        ><span class="cite-bracket">&#91;</span>12<span
+                          class="cite-bracket"
+                          >&#93;</span
+                        ></a
+                      ></sup
+                    >
+                    Because it is trained from scratch, this method (Retro)
+                    incurs the heavy cost of training runs that the original RAG
+                    scheme avoided. The hypothesis is that by giving domain
+                    knowledge during training, Retro needs less focus on domain
+                    and can devote its smaller weight resources only on language
+                    semantics. The redesigned language model is shown here.
+                  </p>
+                  <p>
+                    It has been reported that Retro is not reproducible , so
+                    modifications were made to make it so. The more reproducible
+                    version is called Retro++ and includes in-context RAG.<sup
+                      id="cite_ref-wang2023a_13-0"
+                      class="reference"
+                      ><a href="#cite_note-wang2023a-13"
+                        ><span class="cite-bracket">&#91;</span>13<span
+                          class="cite-bracket"
+                          >&#93;</span
+                        ></a
+                      ></sup
+                    >
+                  </p>
+                  <div class="mw-heading mw-heading3">
+                    <h3 id="Chunking">Chunking</h3>
+                    <span class="mw-editsection"
+                      ><span class="mw-editsection-bracket">[</span
+                      ><a
+                        href="/w/index.php?title=Retrieval-augmented_generation&amp;action=edit&amp;section=10"
+                        title="Edit section: Chunking"
+                        ><span>edit</span></a
+                      ><span class="mw-editsection-bracket">]</span></span
+                    >
+                  </div>
+                  <p>
+                    Converting domain data into vectors should be done
+                    thoughtfully. It is naive to convert an entire document into
+                    a single vector and expect the retriever to find details in
+                    that document in response to a query. There are various
+                    strategies on how to break up the data. This is called
+                    Chunking.
+                  </p>
+                  <div class="center">
+                    <div class="thumb tnone" style="">
+                      <div class="thumbinner" style="width: 502px">
+                        <div class="thumbimage noresize" style="width: 500px">
+                          <span typeof="mw:File"
+                            ><a
+                              href="/wiki/File:Rag-doc-styles.png"
+                              class="mw-file-description"
+                              ><img
+                                src="//upload.wikimedia.org/wikipedia/commons/thumb/0/0c/Rag-doc-styles.png/500px-Rag-doc-styles.png"
+                                decoding="async"
+                                width="500"
+                                height="200"
+                                class="mw-file-element"
+                                srcset="
+                                  //upload.wikimedia.org/wikipedia/commons/0/0c/Rag-doc-styles.png 1.5x
+                                "
+                                data-file-width="585"
+                                data-file-height="234" /></a
+                          ></span>
+                        </div>
+                        <div class="thumbcaption">
+                          Different data styles have patterns that correct
+                          chunking can take advantage of.
+                        </div>
+                      </div>
+                    </div>
+                  </div>
+                  <p>Three types of chunking strategies are:</p>
+                  <ul>
+                    <li>
+                      Fixed length with overlap. This is fast and easy.
+                      Overlapping consecutive chunks help to maintain semantic
+                      context across chunks.
+                    </li>
+                    <li>
+                      Syntax based chunks can break document up by sentences.
+                      Libraries such as spaCy or NLTK can also help.
+                    </li>
+                    <li>
+                      File format based chunking. Certain file types have
+                      natural chunks built in and it's best to respect them. For
+                      example, code files are best chunked and vectorized as
+                      whole functions or classes. HTML files should leave
+                      &lt;table&gt; or base64 encoded &lt;img&gt; elements
+                      intact. Similar considerations should be taken for pdf
+                      files. Libraries such as Unstructured or Langchain can
+                      assist with this method.
+                    </li>
+                  </ul>
+                  <div class="mw-heading mw-heading2">
+                    <h2 id="Challenges">Challenges</h2>
+                    <span class="mw-editsection"
+                      ><span class="mw-editsection-bracket">[</span
+                      ><a
+                        href="/w/index.php?title=Retrieval-augmented_generation&amp;action=edit&amp;section=11"
+                        title="Edit section: Challenges"
+                        ><span>edit</span></a
+                      ><span class="mw-editsection-bracket">]</span></span
+                    >
+                  </div>
+                  <p>
+                    If the external data source is large, retrieval can be slow.
+                    The use of RAG does not completely eliminate the general
+                    challenges faced by LLMs, including hallucination.<sup
+                      id="cite_ref-FCC_3-1"
+                      class="reference"
+                      ><a href="#cite_note-FCC-3"
+                        ><span class="cite-bracket">&#91;</span>3<span
+                          class="cite-bracket"
+                          >&#93;</span
+                        ></a
+                      ></sup
+                    >
+                  </p>
+                  <div class="mw-heading mw-heading2">
+                    <h2 id="References">References</h2>
+                    <span class="mw-editsection"
+                      ><span class="mw-editsection-bracket">[</span
+                      ><a
+                        href="/w/index.php?title=Retrieval-augmented_generation&amp;action=edit&amp;section=12"
+                        title="Edit section: References"
+                        ><span>edit</span></a
+                      ><span class="mw-editsection-bracket">]</span></span
+                    >
+                  </div>
+                  <style data-mw-deduplicate="TemplateStyles:r1217336898">
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+                  <div class="reflist">
+                    <div class="mw-references-wrap mw-references-columns">
+                      <ol class="references">
+                        <li id="cite_note-Survey-1">
+                          <span class="mw-cite-backlink"
+                            >^
+                            <a href="#cite_ref-Survey_1-0"
+                              ><sup
+                                ><i><b>a</b></i></sup
+                              ></a
+                            >
+                            <a href="#cite_ref-Survey_1-1"
+                              ><sup
+                                ><i><b>b</b></i></sup
+                              ></a
+                            >
+                            <a href="#cite_ref-Survey_1-2"
+                              ><sup
+                                ><i><b>c</b></i></sup
+                              ></a
+                            >
+                            <a href="#cite_ref-Survey_1-3"
+                              ><sup
+                                ><i><b>d</b></i></sup
+                              ></a
+                            >
+                            <a href="#cite_ref-Survey_1-4"
+                              ><sup
+                                ><i><b>e</b></i></sup
+                              ></a
+                            >
+                            <a href="#cite_ref-Survey_1-5"
+                              ><sup
+                                ><i><b>f</b></i></sup
+                              ></a
+                            ></span
+                          >
+                          <span class="reference-text"
+                            ><style
+                              data-mw-deduplicate="TemplateStyles:r1238218222"
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+                                display: none;
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+                                padding-right: 0.2em;
+                              }
+                              .mw-parser-output .citation .mw-selflink {
+                                font-weight: inherit;
+                              }
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+                                  font-size: 95%;
+                                }
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+                                  .mw-parser-output
+                                  .cs1-maint {
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+                                  .mw-parser-output
+                                  .cs1-maint {
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+                              }</style
+                            ><cite
+                              id="CITEREFGaoXiongGaoJia2023"
+                              class="citation arxiv cs1"
+                              >Gao, Yunfan; Xiong, Yun; Gao, Xinyu; Jia,
+                              Kangxiang; Pan, Jinliu; Bi, Yuxi; Dai, Yi; Sun,
+                              Jiawei; Wang, Meng; Wang, Haofen (2023).
+                              "Retrieval-Augmented Generation for Large Language
+                              Models: A Survey".
+                              <a
+                                href="/wiki/ArXiv_(identifier)"
+                                class="mw-redirect"
+                                title="ArXiv (identifier)"
+                                >arXiv</a
+                              >:<span
+                                class="id-lock-free"
+                                title="Freely accessible"
+                                ><a
+                                  rel="nofollow"
+                                  class="external text"
+                                  href="https://arxiv.org/abs/2312.10997"
+                                  >2312.10997</a
+                                ></span
+                              >
+                              [<a
+                                rel="nofollow"
+                                class="external text"
+                                href="https://arxiv.org/archive/cs.CL"
+                                >cs.CL</a
+                              >].</cite
+                            ><span
+                              title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=preprint&amp;rft.jtitle=arXiv&amp;rft.atitle=Retrieval-Augmented+Generation+for+Large+Language+Models%3A+A+Survey&amp;rft.date=2023&amp;rft_id=info%3Aarxiv%2F2312.10997&amp;rft.aulast=Gao&amp;rft.aufirst=Yunfan&amp;rft.au=Xiong%2C+Yun&amp;rft.au=Gao%2C+Xinyu&amp;rft.au=Jia%2C+Kangxiang&amp;rft.au=Pan%2C+Jinliu&amp;rft.au=Bi%2C+Yuxi&amp;rft.au=Dai%2C+Yi&amp;rft.au=Sun%2C+Jiawei&amp;rft.au=Wang%2C+Meng&amp;rft.au=Wang%2C+Haofen&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ARetrieval-augmented+generation"
+                              class="Z3988"
+                            ></span
+                          ></span>
+                        </li>
+                        <li id="cite_note-AWS-2">
+                          <span class="mw-cite-backlink"
+                            >^
+                            <a href="#cite_ref-AWS_2-0"
+                              ><sup
+                                ><i><b>a</b></i></sup
+                              ></a
+                            >
+                            <a href="#cite_ref-AWS_2-1"
+                              ><sup
+                                ><i><b>b</b></i></sup
+                              ></a
+                            ></span
+                          >
+                          <span class="reference-text"
+                            ><link
+                              rel="mw-deduplicated-inline-style"
+                              href="mw-data:TemplateStyles:r1238218222" /><cite
+                              class="citation web cs1"
+                              ><a
+                                rel="nofollow"
+                                class="external text"
+                                href="https://aws.amazon.com/what-is/retrieval-augmented-generation/"
+                                >"What is RAG? - Retrieval-Augmented Generation
+                                AI Explained - AWS"</a
+                              >. <i>Amazon Web Services, Inc</i
+                              ><span class="reference-accessdate"
+                                >. Retrieved
+                                <span class="nowrap">16 July</span> 2024</span
+                              >.</cite
+                            ><span
+                              title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=Amazon+Web+Services%2C+Inc.&amp;rft.atitle=What+is+RAG%3F+-+Retrieval-Augmented+Generation+AI+Explained+-+AWS&amp;rft_id=https%3A%2F%2Faws.amazon.com%2Fwhat-is%2Fretrieval-augmented-generation%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ARetrieval-augmented+generation"
+                              class="Z3988"
+                            ></span
+                          ></span>
+                        </li>
+                        <li id="cite_note-FCC-3">
+                          <span class="mw-cite-backlink"
+                            >^
+                            <a href="#cite_ref-FCC_3-0"
+                              ><sup
+                                ><i><b>a</b></i></sup
+                              ></a
+                            >
+                            <a href="#cite_ref-FCC_3-1"
+                              ><sup
+                                ><i><b>b</b></i></sup
+                              ></a
+                            ></span
+                          >
+                          <span class="reference-text"
+                            ><link
+                              rel="mw-deduplicated-inline-style"
+                              href="mw-data:TemplateStyles:r1238218222" /><cite
+                              class="citation web cs1"
+                              ><a
+                                rel="nofollow"
+                                class="external text"
+                                href="https://www.freecodecamp.org/news/retrieval-augmented-generation-rag-handbook/"
+                                >"Next-Gen Large Language Models: The
+                                Retrieval-Augmented Generation (RAG)
+                                Handbook"</a
+                              >. <i>freeCodeCamp.org</i>. 11 June 2024<span
+                                class="reference-accessdate"
+                                >. Retrieved
+                                <span class="nowrap">16 July</span> 2024</span
+                              >.</cite
+                            ><span
+                              title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=freeCodeCamp.org&amp;rft.atitle=Next-Gen+Large+Language+Models%3A+The+Retrieval-Augmented+Generation+%28RAG%29+Handbook&amp;rft.date=2024-06-11&amp;rft_id=https%3A%2F%2Fwww.freecodecamp.org%2Fnews%2Fretrieval-augmented-generation-rag-handbook%2F&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ARetrieval-augmented+generation"
+                              class="Z3988"
+                            ></span
+                          ></span>
+                        </li>
+                        <li id="cite_note-BUZBP-4">
+                          <span class="mw-cite-backlink"
+                            ><b><a href="#cite_ref-BUZBP_4-0">^</a></b></span
+                          >
+                          <span class="reference-text"
+                            ><link
+                              rel="mw-deduplicated-inline-style"
+                              href="mw-data:TemplateStyles:r1238218222" /><cite
+                              id="CITEREFLewisPerezPiktusPetroni2020"
+                              class="citation journal cs1"
+                              >Lewis, Patrick; Perez, Ethan; Piktus, Aleksandra;
+                              Petroni, Fabio; Karpukhin, Vladimir; Goyal, Naman;
+                              Küttler, Heinrich; Lewis, Mike; Yih, Wen-tau;
+                              Rocktäschel, Tim; Riedel, Sebastian; Kiela, Douwe
+                              (2020).
+                              <a
+                                rel="nofollow"
+                                class="external text"
+                                href="https://proceedings.neurips.cc/paper/2020/hash/6b493230205f780e1bc26945df7481e5-Abstract.html"
+                                >"Retrieval-Augmented Generation for
+                                Knowledge-Intensive NLP Tasks"</a
+                              >.
+                              <i
+                                >Advances in Neural Information Processing
+                                Systems</i
+                              >. <b>33</b>. Curran Associates, Inc.: 9459–9474.
+                              <a
+                                href="/wiki/ArXiv_(identifier)"
+                                class="mw-redirect"
+                                title="ArXiv (identifier)"
+                                >arXiv</a
+                              >:<span
+                                class="id-lock-free"
+                                title="Freely accessible"
+                                ><a
+                                  rel="nofollow"
+                                  class="external text"
+                                  href="https://arxiv.org/abs/2005.11401"
+                                  >2005.11401</a
+                                ></span
+                              >.</cite
+                            ><span
+                              title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=article&amp;rft.jtitle=Advances+in+Neural+Information+Processing+Systems&amp;rft.atitle=Retrieval-Augmented+Generation+for+Knowledge-Intensive+NLP+Tasks&amp;rft.volume=33&amp;rft.pages=9459-9474&amp;rft.date=2020&amp;rft_id=info%3Aarxiv%2F2005.11401&amp;rft.aulast=Lewis&amp;rft.aufirst=Patrick&amp;rft.au=Perez%2C+Ethan&amp;rft.au=Piktus%2C+Aleksandra&amp;rft.au=Petroni%2C+Fabio&amp;rft.au=Karpukhin%2C+Vladimir&amp;rft.au=Goyal%2C+Naman&amp;rft.au=K%C3%BCttler%2C+Heinrich&amp;rft.au=Lewis%2C+Mike&amp;rft.au=Yih%2C+Wen-tau&amp;rft.au=Rockt%C3%A4schel%2C+Tim&amp;rft.au=Riedel%2C+Sebastian&amp;rft.au=Kiela%2C+Douwe&amp;rft_id=https%3A%2F%2Fproceedings.neurips.cc%2Fpaper%2F2020%2Fhash%2F6b493230205f780e1bc26945df7481e5-Abstract.html&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ARetrieval-augmented+generation"
+                              class="Z3988"
+                            ></span
+                          ></span>
+                        </li>
+                        <li id="cite_note-faiss-5">
+                          <span class="mw-cite-backlink"
+                            ><b><a href="#cite_ref-faiss_5-0">^</a></b></span
+                          >
+                          <span class="reference-text">
+                            <link
+                              rel="mw-deduplicated-inline-style"
+                              href="mw-data:TemplateStyles:r1238218222"
+                            /><cite class="citation web cs1"
+                              ><a
+                                rel="nofollow"
+                                class="external text"
+                                href="https://github.com/facebookresearch/faiss"
+                                >"faiss"</a
+                              >.
+                              <i
+                                ><a href="/wiki/GitHub" title="GitHub"
+                                  >GitHub</a
+                                ></i
+                              >.</cite
+                            ><span
+                              title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&amp;rft.genre=unknown&amp;rft.jtitle=GitHub&amp;rft.atitle=faiss&amp;rft_id=https%3A%2F%2Fgithub.com%2Ffacebookresearch%2Ffaiss&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ARetrieval-augmented+generation"
+                              class="Z3988"
+                            ></span>
+                          </span>
+                        </li>
+                        <li id="cite_note-colbert-6">
+                          <span class="mw-cite-backlink"
+                            ><b><a href="#cite_ref-colbert_6-0">^</a></b></span
+                          >
+                          <span class="reference-text"
+                            ><link
+                              rel="mw-deduplicated-inline-style"
+                              href="mw-data:TemplateStyles:r1238218222"
+                            /><cite
+                              id="CITEREFKhattabZaharia2020"
+                              class="citation web cs1"
+                              >Khattab, Omar; Zaharia, Matei (2020).
+                              <a
+                                rel="nofollow"
+                                class="external text"
+                                href="https://dl.acm.org/doi/pdf/10.1145/3397271.3401075"
+                                >"<span class="cs1-kern-left"></span>"ColBERT:
+                                Efficient and Effective Passage Search via
+                                Contextualized Late Interaction over BERT"<span
+                                  class="cs1-kern-right"
+                                ></span
+                                >"</a
+                              >.</cite
+                            ><span
+                              title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=%22ColBERT%3A+Efficient+and+Effective+Passage+Search+via+Contextualized+Late+Interaction+over+BERT%22&amp;rft.date=2020&amp;rft.aulast=Khattab&amp;rft.aufirst=Omar&amp;rft.au=Zaharia%2C+Matei&amp;rft_id=https%3A%2F%2Fdl.acm.org%2Fdoi%2Fpdf%2F10.1145%2F3397271.3401075&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ARetrieval-augmented+generation"
+                              class="Z3988"
+                            ></span>
+                          </span>
+                        </li>
+                        <li id="cite_note-splade-7">
+                          <span class="mw-cite-backlink"
+                            ><b><a href="#cite_ref-splade_7-0">^</a></b></span
+                          >
+                          <span class="reference-text"
+                            ><link
+                              rel="mw-deduplicated-inline-style"
+                              href="mw-data:TemplateStyles:r1238218222"
+                            /><cite
+                              id="CITEREFFormalLassancePiwowarskiClinchant2021"
+                              class="citation web cs1"
+                              >Formal, Thibault; Lassance, Carlos; Piwowarski,
+                              Benjamin; Clinchant, Stéphane (2021).
+                              <a
+                                rel="nofollow"
+                                class="external text"
+                                href="https://www.semanticscholar.org/reader/6242b40d14746a418f30c4737d62d7649d08746f"
+                                >"<span class="cs1-kern-left"></span>"SPLADE v2:
+                                Sparse Lexical and Expansion Model for
+                                Information Retrieval"<span
+                                  class="cs1-kern-right"
+                                ></span
+                                >"</a
+                              >.</cite
+                            ><span
+                              title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=%22SPLADE+v2%3A+Sparse+Lexical+and+Expansion+Model+for+Information+Retrieval%22&amp;rft.date=2021&amp;rft.aulast=Formal&amp;rft.aufirst=Thibault&amp;rft.au=Lassance%2C+Carlos&amp;rft.au=Piwowarski%2C+Benjamin&amp;rft.au=Clinchant%2C+St%C3%A9phane&amp;rft_id=https%3A%2F%2Fwww.semanticscholar.org%2Freader%2F6242b40d14746a418f30c4737d62d7649d08746f&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ARetrieval-augmented+generation"
+                              class="Z3988"
+                            ></span>
+                          </span>
+                        </li>
+                        <li id="cite_note-orqa-8">
+                          <span class="mw-cite-backlink"
+                            ><b><a href="#cite_ref-orqa_8-0">^</a></b></span
+                          >
+                          <span class="reference-text">
+                            <link
+                              rel="mw-deduplicated-inline-style"
+                              href="mw-data:TemplateStyles:r1238218222"
+                            /><cite
+                              id="CITEREFLeeChangToutanova2019"
+                              class="citation web cs1"
+                              >Lee, Kenton; Chang, Ming-Wei; Toutanova, Kristina
+                              (2019).
+                              <a
+                                rel="nofollow"
+                                class="external text"
+                                href="https://aclanthology.org/P19-1612.pdf"
+                                >"<span class="cs1-kern-left"></span>"Latent
+                                Retrieval for Weakly Supervised Open Domain
+                                Question Answering"<span
+                                  class="cs1-kern-right"
+                                ></span
+                                >"</a
+                              >
+                              <span class="cs1-format">(PDF)</span>.</cite
+                            ><span
+                              title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=%22Latent+Retrieval+for+Weakly+Supervised+Open+Domain+Question+Answering%22&amp;rft.date=2019&amp;rft.aulast=Lee&amp;rft.aufirst=Kenton&amp;rft.au=Chang%2C+Ming-Wei&amp;rft.au=Toutanova%2C+Kristina&amp;rft_id=https%3A%2F%2Faclanthology.org%2FP19-1612.pdf&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ARetrieval-augmented+generation"
+                              class="Z3988"
+                            ></span>
+                          </span>
+                        </li>
+                        <li id="cite_note-dragon-9">
+                          <span class="mw-cite-backlink"
+                            ><b><a href="#cite_ref-dragon_9-0">^</a></b></span
+                          >
+                          <span class="reference-text"
+                            ><link
+                              rel="mw-deduplicated-inline-style"
+                              href="mw-data:TemplateStyles:r1238218222"
+                            /><cite
+                              id="CITEREFLinAsai2023"
+                              class="citation web cs1"
+                              >Lin, Sheng-Chieh; Asai, Akari (2023).
+                              <a
+                                rel="nofollow"
+                                class="external text"
+                                href="https://aclanthology.org/2023.findings-emnlp.423.pdf"
+                                >"<span class="cs1-kern-left"></span>"How to
+                                Train Your DRAGON: Diverse Augmentation Towards
+                                Generalizable Dense Retrieval"<span
+                                  class="cs1-kern-right"
+                                ></span
+                                >"</a
+                              >
+                              <span class="cs1-format">(PDF)</span>.</cite
+                            ><span
+                              title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=%22How+to+Train+Your+DRAGON%3A+Diverse+Augmentation+Towards+Generalizable+Dense+Retrieval%22&amp;rft.date=2023&amp;rft.aulast=Lin&amp;rft.aufirst=Sheng-Chieh&amp;rft.au=Asai%2C+Akari&amp;rft_id=https%3A%2F%2Faclanthology.org%2F2023.findings-emnlp.423.pdf&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ARetrieval-augmented+generation"
+                              class="Z3988"
+                            ></span>
+                          </span>
+                        </li>
+                        <li id="cite_note-replug-10">
+                          <span class="mw-cite-backlink"
+                            ><b><a href="#cite_ref-replug_10-0">^</a></b></span
+                          >
+                          <span class="reference-text"
+                            ><link
+                              rel="mw-deduplicated-inline-style"
+                              href="mw-data:TemplateStyles:r1238218222"
+                            /><cite
+                              id="CITEREFShiMin2023"
+                              class="citation web cs1"
+                              >Shi, Weijia; Min, Sewon (2023).
+                              <a
+                                rel="nofollow"
+                                class="external text"
+                                href="https://aclanthology.org/2024.naacl-long.463"
+                                >"<span class="cs1-kern-left"></span>"REPLUG:
+                                Retrieval-Augmented Black-Box Language
+                                Models"<span class="cs1-kern-right"></span>"</a
+                              >.</cite
+                            ><span
+                              title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=%22REPLUG%3A+Retrieval-Augmented+Black-Box+Language+Models%22&amp;rft.date=2023&amp;rft.aulast=Shi&amp;rft.aufirst=Weijia&amp;rft.au=Min%2C+Sewon&amp;rft_id=https%3A%2F%2Faclanthology.org%2F2024.naacl-long.463&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ARetrieval-augmented+generation"
+                              class="Z3988"
+                            ></span>
+                          </span>
+                        </li>
+                        <li id="cite_note-ralm-11">
+                          <span class="mw-cite-backlink"
+                            ><b><a href="#cite_ref-ralm_11-0">^</a></b></span
+                          >
+                          <span class="reference-text"
+                            ><link
+                              rel="mw-deduplicated-inline-style"
+                              href="mw-data:TemplateStyles:r1238218222"
+                            /><cite
+                              id="CITEREFRamLevineDalmedigosMuhlgay2023"
+                              class="citation web cs1"
+                              >Ram, Ori; Levine, Yoav; Dalmedigos, Itay;
+                              Muhlgay, Dor; Shashua, Amnon; Leyton-Brown, Kevin;
+                              Shoham, Yoav (2023).
+                              <a
+                                rel="nofollow"
+                                class="external text"
+                                href="https://aclanthology.org/2023.tacl-1.75"
+                                >"<span class="cs1-kern-left"></span>"In-Context
+                                Retrieval-Augmented Language Models"<span
+                                  class="cs1-kern-right"
+                                ></span
+                                >"</a
+                              >.</cite
+                            ><span
+                              title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=%22In-Context+Retrieval-Augmented+Language+Models%22&amp;rft.date=2023&amp;rft.aulast=Ram&amp;rft.aufirst=Ori&amp;rft.au=Levine%2C+Yoav&amp;rft.au=Dalmedigos%2C+Itay&amp;rft.au=Muhlgay%2C+Dor&amp;rft.au=Shashua%2C+Amnon&amp;rft.au=Leyton-Brown%2C+Kevin&amp;rft.au=Shoham%2C+Yoav&amp;rft_id=https%3A%2F%2Faclanthology.org%2F2023.tacl-1.75&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ARetrieval-augmented+generation"
+                              class="Z3988"
+                            ></span>
+                          </span>
+                        </li>
+                        <li id="cite_note-borgeaud-12">
+                          <span class="mw-cite-backlink"
+                            ><b
+                              ><a href="#cite_ref-borgeaud_12-0">^</a></b
+                            ></span
+                          >
+                          <span class="reference-text"
+                            ><link
+                              rel="mw-deduplicated-inline-style"
+                              href="mw-data:TemplateStyles:r1238218222"
+                            /><cite
+                              id="CITEREFBorgeaudMensch2021"
+                              class="citation web cs1"
+                              >Borgeaud, Sebastian; Mensch, Arthur (2021).
+                              <a
+                                rel="nofollow"
+                                class="external text"
+                                href="https://proceedings.mlr.press/v162/borgeaud22a/borgeaud22a.pdf"
+                                >"<span class="cs1-kern-left"></span>"Improving
+                                language models by retrieving from trillions of
+                                tokens"<span class="cs1-kern-right"></span>"</a
+                              >
+                              <span class="cs1-format">(PDF)</span>.</cite
+                            ><span
+                              title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=%22Improving+language+models+by+retrieving+from+trillions+of+tokens%22&amp;rft.date=2021&amp;rft.aulast=Borgeaud&amp;rft.aufirst=Sebastian&amp;rft.au=Mensch%2C+Arthur&amp;rft_id=https%3A%2F%2Fproceedings.mlr.press%2Fv162%2Fborgeaud22a%2Fborgeaud22a.pdf&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ARetrieval-augmented+generation"
+                              class="Z3988"
+                            ></span>
+                          </span>
+                        </li>
+                        <li id="cite_note-wang2023a-13">
+                          <span class="mw-cite-backlink"
+                            ><b
+                              ><a href="#cite_ref-wang2023a_13-0">^</a></b
+                            ></span
+                          >
+                          <span class="reference-text"
+                            ><link
+                              rel="mw-deduplicated-inline-style"
+                              href="mw-data:TemplateStyles:r1238218222"
+                            /><cite
+                              id="CITEREFWangPing2023"
+                              class="citation web cs1"
+                              >Wang, Boxin; Ping, Wei (2023).
+                              <a
+                                rel="nofollow"
+                                class="external text"
+                                href="https://aclanthology.org/2023.emnlp-main.482.pdf"
+                                >"<span class="cs1-kern-left"></span>"Shall We
+                                Pretrain Autoregressive Language Models with
+                                Retrieval? A Comprehensive Study"<span
+                                  class="cs1-kern-right"
+                                ></span
+                                >"</a
+                              >
+                              <span class="cs1-format">(PDF)</span>.</cite
+                            ><span
+                              title="ctx_ver=Z39.88-2004&amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&amp;rft.genre=unknown&amp;rft.btitle=%22Shall+We+Pretrain+Autoregressive+Language+Models+with+Retrieval%3F+A+Comprehensive+Study%22&amp;rft.date=2023&amp;rft.aulast=Wang&amp;rft.aufirst=Boxin&amp;rft.au=Ping%2C+Wei&amp;rft_id=https%3A%2F%2Faclanthology.org%2F2023.emnlp-main.482.pdf&amp;rfr_id=info%3Asid%2Fen.wikipedia.org%3ARetrieval-augmented+generation"
+                              class="Z3988"
+                            ></span>
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+                                  <a
+                                    href="/wiki/Special:EditPage/Template:Generative_AI"
+                                    title="Special:EditPage/Template:Generative AI"
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+                                      >e</abbr
+                                    ></a
+                                  >
+                                </li>
+                              </ul>
+                            </div>
+                            <div
+                              id="Generative_AI"
+                              style="font-size: 114%; margin: 0 4em"
+                            >
+                              <a
+                                href="/wiki/Generative_artificial_intelligence"
+                                title="Generative artificial intelligence"
+                                >Generative AI</a
+                              >
+                            </div>
+                          </th>
+                        </tr>
+                        <tr>
+                          <th
+                            scope="row"
+                            class="navbox-group"
+                            style="width: 1%"
+                          >
+                            Concepts
+                          </th>
+                          <td
+                            class="navbox-list-with-group navbox-list navbox-odd hlist"
+                            style="width: 100%; padding: 0"
+                          >
+                            <div style="padding: 0 0.25em">
+                              <ul>
+                                <li>
+                                  <a
+                                    href="/wiki/Autoencoder"
+                                    title="Autoencoder"
+                                    >Autoencoder</a
+                                  >
+                                </li>
+                                <li>
+                                  <a
+                                    href="/wiki/Deep_learning"
+                                    title="Deep learning"
+                                    >Deep learning</a
+                                  >
+                                </li>
+                                <li>
+                                  <a
+                                    href="/wiki/Generative_adversarial_network"
+                                    title="Generative adversarial network"
+                                    >Generative adversarial network</a
+                                  >
+                                </li>
+                                <li>
+                                  <a
+                                    href="/wiki/Generative_pre-trained_transformer"
+                                    title="Generative pre-trained transformer"
+                                    >Generative pre-trained transformer</a
+                                  >
+                                </li>
+                                <li>
+                                  <a
+                                    href="/wiki/Large_language_model"
+                                    title="Large language model"
+                                    >Large language model</a
+                                  >
+                                </li>
+                                <li>
+                                  <a
+                                    href="/wiki/Neural_network"
+                                    title="Neural network"
+                                    >Neural network</a
+                                  >
+                                </li>
+                                <li>
+                                  <a
+                                    href="/wiki/Prompt_engineering"
+                                    title="Prompt engineering"
+                                    >Prompt engineering</a
+                                  >
+                                </li>
+                                <li>
+                                  <a
+                                    href="/wiki/Reinforcement_learning_from_human_feedback"
+                                    title="Reinforcement learning from human feedback"
+                                    >RLHF</a
+                                  >
+                                </li>
+                                <li>
+                                  <a
+                                    href="/wiki/Self-supervised_learning"
+                                    title="Self-supervised learning"
+                                    >Self-supervised learning</a
+                                  >
+                                </li>
+                                <li>
+                                  <a
+                                    href="/wiki/Transformer_(deep_learning_architecture)"
+                                    title="Transformer (deep learning architecture)"
+                                    >Transformer</a
+                                  >
+                                </li>
+                                <li>
+                                  <a
+                                    href="/wiki/Variational_autoencoder"
+                                    title="Variational autoencoder"
+                                    >Variational autoencoder</a
+                                  >
+                                </li>
+                                <li>
+                                  <a
+                                    href="/wiki/Vision_transformer"
+                                    title="Vision transformer"
+                                    >Vision transformer</a
+                                  >
+                                </li>
+                                <li>
+                                  <a
+                                    href="/wiki/Word_embedding"
+                                    title="Word embedding"
+                                    >Word embedding</a
+                                  >
+                                </li>
+                              </ul>
+                            </div>
+                          </td>
+                        </tr>
+                        <tr>
+                          <th
+                            scope="row"
+                            class="navbox-group"
+                            style="width: 1%"
+                          >
+                            Models
+                          </th>
+                          <td
+                            class="navbox-list-with-group navbox-list navbox-odd hlist"
+                            style="width: 100%; padding: 0"
+                          >
+                            <div style="padding: 0 0.25em"></div>
+                            <table
+                              class="nowraplinks navbox-subgroup"
+                              style="border-spacing: 0"
+                            >
+                              <tbody>
+                                <tr>
+                                  <th
+                                    scope="row"
+                                    class="navbox-group"
+                                    style="width: 1%"
+                                  >
+                                    Text
+                                  </th>
+                                  <td
+                                    class="navbox-list-with-group navbox-list navbox-even"
+                                    style="width: 100%; padding: 0"
+                                  >
+                                    <div style="padding: 0 0.25em">
+                                      <ul>
+                                        <li>
+                                          <a
+                                            href="/wiki/Claude_(language_model)"
+                                            title="Claude (language model)"
+                                            >Claude</a
+                                          >
+                                        </li>
+                                        <li>
+                                          <a
+                                            href="/wiki/Gemini_(language_model)"
+                                            title="Gemini (language model)"
+                                            >Gemini</a
+                                          >
+                                        </li>
+                                        <li>
+                                          <a href="/wiki/GPT-2" title="GPT-2"
+                                            >GPT-2</a
+                                          >
+                                        </li>
+                                        <li>
+                                          <a href="/wiki/GPT-3" title="GPT-3"
+                                            >GPT-3</a
+                                          >
+                                        </li>
+                                        <li>
+                                          <a href="/wiki/GPT-4" title="GPT-4"
+                                            >GPT-4</a
+                                          >
+                                        </li>
+                                        <li>
+                                          <a
+                                            href="/wiki/Llama_(language_model)"
+                                            title="Llama (language model)"
+                                            >LLaMA</a
+                                          >
+                                        </li>
+                                      </ul>
+                                    </div>
+                                  </td>
+                                </tr>
+                                <tr>
+                                  <th
+                                    scope="row"
+                                    class="navbox-group"
+                                    style="width: 1%"
+                                  >
+                                    <a
+                                      href="/wiki/Text-to-image_model"
+                                      title="Text-to-image model"
+                                      >Images</a
+                                    >
+                                  </th>
+                                  <td
+                                    class="navbox-list-with-group navbox-list navbox-odd"
+                                    style="width: 100%; padding: 0"
+                                  >
+                                    <div style="padding: 0 0.25em">
+                                      <ul>
+                                        <li>
+                                          <a href="/wiki/DALL-E" title="DALL-E"
+                                            >DALL-E</a
+                                          >
+                                        </li>
+                                        <li>
+                                          <a
+                                            href="/wiki/Midjourney"
+                                            title="Midjourney"
+                                            >Midjourney</a
+                                          >
+                                        </li>
+                                        <li>
+                                          <a
+                                            href="/wiki/Stable_Diffusion"
+                                            title="Stable Diffusion"
+                                            >Stable Diffusion</a
+                                          >
+                                        </li>
+                                      </ul>
+                                    </div>
+                                  </td>
+                                </tr>
+                                <tr>
+                                  <th
+                                    scope="row"
+                                    class="navbox-group"
+                                    style="width: 1%"
+                                  >
+                                    <a
+                                      href="/wiki/Text-to-video_model"
+                                      title="Text-to-video model"
+                                      >Videos</a
+                                    >
+                                  </th>
+                                  <td
+                                    class="navbox-list-with-group navbox-list navbox-even"
+                                    style="width: 100%; padding: 0"
+                                  >
+                                    <div style="padding: 0 0.25em">
+                                      <ul>
+                                        <li>
+                                          <a
+                                            href="/wiki/Sora_(text-to-video_model)"
+                                            title="Sora (text-to-video model)"
+                                            >Sora</a
+                                          >
+                                        </li>
+                                      </ul>
+                                    </div>
+                                  </td>
+                                </tr>
+                                <tr>
+                                  <th
+                                    scope="row"
+                                    class="navbox-group"
+                                    style="width: 1%"
+                                  >
+                                    Musics
+                                  </th>
+                                  <td
+                                    class="navbox-list-with-group navbox-list navbox-odd"
+                                    style="width: 100%; padding: 0"
+                                  >
+                                    <div style="padding: 0 0.25em">
+                                      <ul>
+                                        <li>
+                                          <a
+                                            href="/wiki/Suno_AI"
+                                            title="Suno AI"
+                                            >Suno AI</a
+                                          >
+                                        </li>
+                                        <li>
+                                          <a href="/wiki/Udio" title="Udio"
+                                            >Udio</a
+                                          >
+                                        </li>
+                                      </ul>
+                                    </div>
+                                  </td>
+                                </tr>
+                              </tbody>
+                            </table>
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+                        </tr>
+                        <tr>
+                          <th
+                            scope="row"
+                            class="navbox-group"
+                            style="width: 1%"
+                          >
+                            Companies
+                          </th>
+                          <td
+                            class="navbox-list-with-group navbox-list navbox-even hlist"
+                            style="width: 100%; padding: 0"
+                          >
+                            <div style="padding: 0 0.25em">
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+                                <li>
+                                  <a href="/wiki/Anthropic" title="Anthropic"
+                                    >Anthropic</a
+                                  >
+                                </li>
+                                <li>
+                                  <a
+                                    href="/wiki/Google_DeepMind"
+                                    title="Google DeepMind"
+                                    >Google DeepMind</a
+                                  >
+                                </li>
+                                <li>
+                                  <a
+                                    href="/wiki/Hugging_Face"
+                                    title="Hugging Face"
+                                    >Hugging Face</a
+                                  >
+                                </li>
+                                <li>
+                                  <a href="/wiki/OpenAI" title="OpenAI"
+                                    >OpenAI</a
+                                  >
+                                </li>
+                                <li>
+                                  <a href="/wiki/Meta_AI" title="Meta AI"
+                                    >Meta AI</a
+                                  >
+                                </li>
+                                <li>
+                                  <a href="/wiki/Mistral_AI" title="Mistral AI"
+                                    >Mistral AI</a
+                                  >
+                                </li>
+                              </ul>
+                            </div>
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+                    <li>
+                      <a
+                        href="/wiki/Category:Large_language_models"
+                        title="Category:Large language models"
+                        >Large language models</a
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+                      <a
+                        href="/wiki/Category:Natural_language_processing"
+                        title="Category:Natural language processing"
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+                      <a
+                        href="/wiki/Category:Information_retrieval_systems"
+                        title="Category:Information retrieval systems"
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+                        href="/wiki/Category:Articles_containing_potentially_dated_statements_from_2023"
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+                        2023</a
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+		<linearGradient id="SVGID_7_" gradientUnits="userSpaceOnUse" x1="14.1287" y1="15.1352" x2="18.6069" y2="19.9523">
+			<stop  offset="0" style="stop-color:#85DDF7"/>
+			<stop  offset="1" style="stop-color:#EBC9F7"/>
+		</linearGradient>
+		<path class="st10" d="M17.45,20.88c-0.14,0.05-0.29,0.09-0.47,0.15c0,0,0,0,0,0c-0.68,0.1-1.55,0.12-2.51-0.1
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+			c-0.06,0.02-0.13,0.04-0.19,0.06c-0.33,0.11-1.65,0.6-2.47,2c-0.59,1.02-0.6,1.98-0.61,2.36c0,0.29,0.02,1.35,0.67,2.48
+			c0.83,1.47,2.15,2.08,2.64,2.3C16.16,20.74,16.92,20.85,17.45,20.88z"/>
+		<path class="st11" d="M19.45,12.01c-0.32-0.25-0.87-0.62-1.65-0.84c-0.03-0.01-0.06-0.02-0.1-0.03c-0.01,0-0.02-0.01-0.03-0.01
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+			c0.46-0.16,1.71-0.56,3.2-0.07c0.93,0.31,1.59,0.85,2.02,1.31c0.12,0.14,0.25,0.29,0.37,0.45c0,0,0,0,0,0.01
+			C19.34,11.83,19.4,11.94,19.45,12.01z"/>
+	</g>
+</g>
+</svg>
diff --git a/templates/ycombinator_graphrag/web-app/styles/globals.css b/templates/ycombinator_graphrag/web-app/styles/globals.css
new file mode 100644
index 000000000..9fd6f418f
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/styles/globals.css
@@ -0,0 +1,226 @@
+@tailwind base;
+@tailwind components;
+@tailwind utilities;
+
+:root {
+  --background: #f7f4ef; /* Cream background */
+  --foreground: #333333;
+  --card: #ffffff;
+  --card-foreground: #333333;
+  --popover: #ffffff;
+  --popover-foreground: #333333;
+  --primary: #ff6600; /* Orange */
+  --primary-foreground: #ffffff;
+
+  --secondary: #bdbdbd;
+  --secondary-foreground: #1a1919;
+  --muted: #282626;
+  --muted-foreground: #a5a3a3;
+  --accent: #7b4dc6;
+  --accent-foreground: #fafafa;
+  --destructive: #ff5555;
+  --destructive-foreground: #fafafa;
+  --border: #282626;
+  --input: #282626;
+  --ring: #d6d5d5;
+  --radius: 0.5rem;
+
+  --header-height: 64px;
+  --header-bg: #ff6600; /* Orange header */
+  --header-border: #ff8533;
+  --header-text: #ffffff;
+
+  --input: #f0f0f0; /* Light gray for input fields */
+  --input-background-color: #f0f0f0;
+  --ring: #ff6600; /* Orange for focus ring */
+}
+
+* {
+  padding: 0;
+  margin: 0;
+  box-sizing: border-box;
+}
+
+html,
+body {
+  width: 100%;
+  height: 100%;
+  font-family:
+    'Ubuntu',
+    -apple-system,
+    sans-serif;
+  font-size: 93.75%;
+  background-color: var(--background);
+  color: var(--foreground);
+}
+
+@keyframes searchingAnimation {
+  0% {
+    background-position: -100% 0;
+  }
+  100% {
+    background-position: 200% 0;
+  }
+}
+
+.searching-animation {
+  background: linear-gradient(
+    90deg,
+    transparent 0%,
+    var(--foreground) 50%,
+    transparent 100%
+  );
+  background-size: 200% 100%;
+  animation: searchingAnimation 4s forwards;
+  -webkit-background-clip: text;
+  -webkit-text-fill-color: transparent;
+}
+
+.main-content-wrapper {
+  position: fixed;
+  top: var(--header-height);
+  left: 0;
+  right: 0;
+  bottom: 0;
+  transition: left 0.2s ease-in-out;
+  display: flex;
+  justify-content: center;
+  overflow-x: hidden;
+}
+
+.main-content {
+  width: 100%;
+  max-width: 64rem;
+  padding: 1rem;
+  display: flex;
+  flex-direction: column;
+  overflow-y: auto;
+}
+
+/* Header utility classes*/
+.bg-header {
+  background-color: var(--header-bg);
+}
+
+.border-header-border {
+  border-color: var(--header-border);
+}
+
+.text-header-text {
+  color: var(--header-text);
+}
+
+/* Footer styles */
+.footer {
+  background-color: var(--card);
+  color: var(--card-foreground);
+  padding: 1rem;
+}
+
+.small-print {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.copyright {
+  font-size: 0.875rem;
+}
+
+.social-links {
+  display: flex;
+  gap: 1rem;
+}
+
+.social-link {
+  color: var(--muted-foreground);
+  transition: color 0.2s;
+}
+
+.social-link:hover {
+  color: var(--foreground);
+}
+
+.social-icon {
+  width: 1.5rem;
+  height: 1.5rem;
+  color: var(--muted-foreground);
+}
+
+.sr-only {
+  position: absolute;
+  width: 1px;
+  height: 1px;
+  padding: 0;
+  margin: -1px;
+  overflow: hidden;
+  clip: rect(0, 0, 0, 0);
+  white-space: nowrap;
+  border-width: 0;
+}
+
+@layer base {
+  :root {
+    --background: 0 0% 100%;
+    --foreground: 0 0% 3.9%;
+    --card: 0 0% 100%;
+    --card-foreground: 0 0% 3.9%;
+    --popover: 0 0% 100%;
+    --popover-foreground: 0 0% 3.9%;
+    --primary: 0 0% 9%;
+    --primary-foreground: 0 0% 98%;
+    --secondary: 0 0% 96.1%;
+    --secondary-foreground: 0 0% 9%;
+    --muted: 0 0% 96.1%;
+    --muted-foreground: 0 0% 45.1%;
+    --accent: 0 0% 96.1%;
+    --accent-foreground: 0 0% 9%;
+    --destructive: 0 84.2% 60.2%;
+    --destructive-foreground: 0 0% 98%;
+    --border: 0 0% 89.8%;
+    --input: 0 0% 89.8%;
+    --ring: 0 0% 3.9%;
+    --chart-1: 12 76% 61%;
+    --chart-2: 173 58% 39%;
+    --chart-3: 197 37% 24%;
+    --chart-4: 43 74% 66%;
+    --chart-5: 27 87% 67%;
+    --radius: 0.5rem;
+  }
+  .dark {
+    --background: 0 0% 3.9%;
+    --foreground: 0 0% 98%;
+    --card: 0 0% 3.9%;
+    --card-foreground: 0 0% 98%;
+    --popover: 0 0% 3.9%;
+    --popover-foreground: 0 0% 98%;
+    --primary: 0 0% 98%;
+    --primary-foreground: 0 0% 9%;
+    --secondary: 0 0% 14.9%;
+    --secondary-foreground: 0 0% 98%;
+    --muted: 0 0% 14.9%;
+    --muted-foreground: 0 0% 63.9%;
+    --accent: 0 0% 14.9%;
+    --accent-foreground: 0 0% 98%;
+    --destructive: 0 62.8% 30.6%;
+    --destructive-foreground: 0 0% 98%;
+    --border: 0 0% 14.9%;
+    --input: 0 0% 14.9%;
+    --ring: 0 0% 83.1%;
+    --chart-1: 220 70% 50%;
+    --chart-2: 160 60% 45%;
+    --chart-3: 30 80% 55%;
+    --chart-4: 280 65% 60%;
+    --chart-5: 340 75% 55%;
+  }
+}
+
+@layer base {
+  * {
+    @apply border-border;
+  }
+  body {
+    @apply bg-background text-foreground;
+  }
+}
diff --git a/templates/ycombinator_graphrag/web-app/tailwind.config.ts b/templates/ycombinator_graphrag/web-app/tailwind.config.ts
new file mode 100644
index 000000000..66f4bfd96
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/tailwind.config.ts
@@ -0,0 +1,62 @@
+module.exports = {
+  darkMode: ['class'],
+  content: [
+    './pages/**/*.{js,ts,jsx,tsx}',
+    './components/**/*.{js,ts,jsx,tsx}',
+  ],
+  theme: {
+    extend: {
+      colors: {
+        background: 'hsl(var(--background))',
+        foreground: 'hsl(var(--foreground))',
+        primary: {
+          DEFAULT: 'hsl(var(--primary))',
+          foreground: 'hsl(var(--primary-foreground))',
+        },
+        'primary-foreground': 'var(--primary-foreground)',
+        input: 'hsl(var(--input))',
+        muted: {
+          DEFAULT: 'hsl(var(--muted))',
+          foreground: 'hsl(var(--muted-foreground))',
+        },
+        'muted-foreground': 'var(--muted-foreground)',
+        accent: {
+          DEFAULT: 'hsl(var(--accent))',
+          foreground: 'hsl(var(--accent-foreground))',
+        },
+        'accent-foreground': 'var(--accent-foreground)',
+        card: {
+          DEFAULT: 'hsl(var(--card))',
+          foreground: 'hsl(var(--card-foreground))',
+        },
+        popover: {
+          DEFAULT: 'hsl(var(--popover))',
+          foreground: 'hsl(var(--popover-foreground))',
+        },
+        secondary: {
+          DEFAULT: 'hsl(var(--secondary))',
+          foreground: 'hsl(var(--secondary-foreground))',
+        },
+        destructive: {
+          DEFAULT: 'hsl(var(--destructive))',
+          foreground: 'hsl(var(--destructive-foreground))',
+        },
+        border: 'hsl(var(--border))',
+        ring: 'hsl(var(--ring))',
+        chart: {
+          '1': 'hsl(var(--chart-1))',
+          '2': 'hsl(var(--chart-2))',
+          '3': 'hsl(var(--chart-3))',
+          '4': 'hsl(var(--chart-4))',
+          '5': 'hsl(var(--chart-5))',
+        },
+      },
+      borderRadius: {
+        lg: 'var(--radius)',
+        md: 'calc(var(--radius) - 2px)',
+        sm: 'calc(var(--radius) - 4px)',
+      },
+    },
+  },
+  plugins: [require('tailwindcss-animate')],
+};
diff --git a/templates/ycombinator_graphrag/web-app/tsconfig.json b/templates/ycombinator_graphrag/web-app/tsconfig.json
new file mode 100644
index 000000000..649790e5d
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/tsconfig.json
@@ -0,0 +1,21 @@
+{
+  "compilerOptions": {
+    "lib": ["dom", "dom.iterable", "esnext"],
+    "allowJs": true,
+    "skipLibCheck": true,
+    "strict": true,
+    "noEmit": true,
+    "esModuleInterop": true,
+    "module": "esnext",
+    "moduleResolution": "bundler",
+    "resolveJsonModule": true,
+    "isolatedModules": true,
+    "jsx": "preserve",
+    "incremental": true,
+    "paths": {
+      "@/*": ["./*"]
+    }
+  },
+  "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx"],
+  "exclude": ["node_modules"]
+}
diff --git a/templates/ycombinator_graphrag/web-app/types.ts b/templates/ycombinator_graphrag/web-app/types.ts
new file mode 100644
index 000000000..c3af4f926
--- /dev/null
+++ b/templates/ycombinator_graphrag/web-app/types.ts
@@ -0,0 +1,360 @@
+import { r2rClient } from 'r2r-js';
+
+export interface AdminBadgeProps {
+  isAdmin: boolean;
+  viewMode: 'admin' | 'user';
+  onToggle: () => void;
+}
+
+export interface AnalyticsData {
+  [key: string]: any;
+  percentiles?: Record<string, number | string>;
+  filtered_logs?: {
+    [key: string]: any[];
+  };
+}
+
+export interface AuthState {
+  isAuthenticated: boolean;
+  email: string | null;
+  password: string | null;
+  userRole: 'admin' | 'user' | null;
+}
+
+export interface BarChartProps {
+  data: {
+    filtered_logs?: {
+      [key: string]: Array<{ value: string }>;
+    };
+  };
+  selectedFilter: string;
+}
+
+export interface DefaultQueriesProps {
+  setQuery: (query: string) => void;
+  mode: 'rag' | 'rag_agent';
+}
+
+export interface DeleteButtonProps {
+  selectedDocumentIds: string[];
+  onDelete: () => void;
+  onSuccess: () => void;
+  showToast: (message: {
+    title: string;
+    description: string;
+    variant: 'default' | 'destructive' | 'success';
+  }) => void;
+}
+
+export interface Document {
+  id: string;
+  text: string;
+  metadata: any;
+}
+
+export interface DocumentFilterCriteria {
+  sort: 'title' | 'date';
+  order: 'asc' | 'desc';
+}
+
+export enum IngestionStatus {
+  PENDING = 'pending',
+  PARSING = 'parsing',
+  CHUNKING = 'chunking',
+  EMBEDDING = 'embedding',
+  STORING = 'storing',
+  FAILURE = 'failure',
+  SUCCESS = 'success',
+}
+
+export interface DocumentInfoType {
+  id: string;
+  user_id: string;
+  group_ids: string[];
+  type: string;
+  metadata: Record<string, any>;
+  title: string;
+  version: string;
+  size_in_bytes: number;
+  ingestion_status: string;
+  restructuring_status: string;
+  created_at: string;
+  updated_at: string;
+}
+
+export interface DocumentInfoDialogProps {
+  documentId: string;
+  apiUrl?: string;
+  open: boolean;
+  onClose: () => void;
+}
+
+export interface DocumentChunk {
+  fragment_id: string;
+  extraction_id: string;
+  document_id: string;
+  user_id: string;
+  group_ids: string[];
+  text: string;
+  metadata: { [key: string]: any };
+}
+
+export interface EditPromptDialogProps {
+  open: boolean;
+  onClose: () => void;
+  promptName: string;
+  promptTemplate: string;
+  onSaveSuccess: () => void;
+}
+
+export interface GenerationConfig {
+  // RAG Configuration
+  temperature?: number;
+  setTemperature?: (value: number) => void;
+  top_p?: number;
+  setTopP?: (value: number) => void;
+  top_k?: number;
+  setTop_k?: (value: number) => void;
+  max_tokens_to_sample?: number;
+  setMax_tokens_to_sample?: (value: number) => void;
+  model?: string;
+  setModel?: (value: string) => void;
+  stream?: boolean;
+  setStream?: (value: boolean) => void;
+  functions?: Array<Record<string, any>> | null;
+  setFunctions?: (value: Array<Record<string, any>> | null) => void;
+  skip_special_tokens?: boolean;
+  setSkipSpecialTokens?: (value: boolean) => void;
+  stop_token?: string | null;
+  setStopToken?: (value: string | null) => void;
+  num_beams?: number;
+  setNumBeams?: (value: number) => void;
+  do_sample?: boolean;
+  setDoSample?: (value: boolean) => void;
+  generate_with_chat?: boolean;
+  setGenerateWithChat?: (value: boolean) => void;
+  add_generation_kwargs?: Record<string, any>;
+  setAddGenerationKwargs?: (value: Record<string, any>) => void;
+  api_base?: string | null;
+  setApiBase?: (value: string | null) => void;
+
+  // Knowledge Graph Configuration
+  kg_temperature?: number;
+  setKgTemperature?: (value: number) => void;
+  kg_top_p?: number;
+  setKgTopP?: (value: number) => void;
+  kg_top_k?: number;
+  setKgTop_k?: (value: number) => void;
+  kg_max_tokens_to_sample?: number;
+  setKgMax_tokens_to_sample?: (value: number) => void;
+}
+
+export interface HighlightProps {
+  color: string;
+  textColor: string;
+  children: React.ReactNode;
+}
+
+export interface InputProps
+  extends React.InputHTMLAttributes<HTMLInputElement> {}
+
+export interface LogoProps {
+  width?: number;
+  height?: number;
+  className?: string;
+  onClick?: () => void;
+  disableLink?: boolean;
+  priority?: boolean;
+}
+
+export interface Message {
+  role: 'system' | 'user' | 'assistant';
+  content: string;
+  id?: string;
+  timestamp?: number;
+  isStreaming?: boolean;
+  sources?: string | null;
+  kgLocal?: string | null;
+  searchPerformed?: boolean;
+}
+
+export interface ModelSelectorProps {
+  id?: string;
+}
+
+export interface NavbarProps {
+  className?: string;
+}
+
+export interface NavItemsProps {
+  isAuthenticated: boolean;
+  effectiveRole: 'admin' | 'user';
+  pathname: string;
+}
+
+export interface Pipeline {
+  deploymentUrl: string;
+}
+
+export interface PipelineStatusProps {
+  className?: string;
+  onStatusChange?: (isConnected: boolean) => void;
+}
+
+export interface R2RServerCardProps {
+  pipeline: Pipeline | null;
+  onStatusChange: (status: boolean) => void;
+}
+
+export interface RagGenerationConfig {
+  temperature?: number;
+  top_p?: number;
+  top_k?: number;
+  max_tokens_to_sample?: number;
+  model?: string;
+  stream: boolean;
+}
+
+export interface SearchProps {
+  pipeline?: Pipeline;
+  setQuery: (query: string) => void;
+  placeholder?: string;
+  disabled?: boolean;
+}
+
+export interface ServerStats {
+  start_time: string;
+  uptime_seconds: number;
+  cpu_usage: number;
+  memory_usage: number;
+}
+
+export interface SidebarProps {
+  isOpen: boolean;
+  onToggle: () => void;
+  switches: any;
+  handleSwitchChange: (id: string, checked: boolean) => void;
+  searchLimit: number;
+  setSearchLimit: (limit: number) => void;
+  searchFilters: string;
+  setSearchFilters: (filters: string) => void;
+  selectedModel: string;
+  kgSearchType: 'local' | 'global';
+  setKgSearchType: (type: 'local' | 'global') => void;
+  max_llm_queries_for_global_search: number;
+  setMax_llm_queries_for_global_search: (value: number) => void;
+  top_k: number;
+  setTop_k: (value: number) => void;
+  max_tokens_to_sample: number;
+  setMax_tokens_to_sample: (value: number) => void;
+  temperature: number;
+  setTemperature: (value: number) => void;
+  topP: number;
+  setTopP: (value: number) => void;
+}
+
+export interface SingleSwitchProps {
+  id: string;
+  initialChecked: boolean;
+  onChange: (id: string, checked: boolean) => void;
+  label: string;
+  tooltipText: string;
+}
+
+export interface Switch {
+  checked: boolean;
+  label: string;
+  tooltipText: string;
+}
+
+export interface SpinnerProps {
+  className?: string;
+}
+
+export type TagColor = 'rose' | 'amber' | 'emerald' | 'zinc' | 'indigo' | 'sky';
+
+export interface UpdateButtonContainerProps {
+  apiUrl?: string;
+  documentId: string;
+  onUpdateSuccess: () => void;
+  showToast: (message: {
+    title: string;
+    description: string;
+    variant: 'default' | 'destructive' | 'success';
+  }) => void;
+}
+
+export interface UpdateButtonProps {
+  userId: string;
+  documentId: string;
+  onUpdateSuccess: () => void;
+  showToast?: (message: {
+    title: string;
+    description: string;
+    variant: 'default' | 'destructive' | 'success';
+  }) => void;
+}
+export interface UploadDialogProps {
+  isOpen: boolean;
+  onClose: () => void;
+  onUpload: (files: File[]) => void;
+}
+
+export interface UserContextProps {
+  pipeline: Pipeline | null;
+  setPipeline: (pipeline: Pipeline) => void;
+  selectedModel: string;
+  setSelectedModel: (model: string) => void;
+  isAuthenticated: boolean;
+  login: (
+    email: string,
+    password: string,
+    instanceUrl: string
+  ) => Promise<void>;
+  logout: () => Promise<void>;
+  authState: AuthState;
+  getClient: () => r2rClient | null;
+  client: r2rClient | null;
+  viewMode: 'admin' | 'user';
+  setViewMode: React.Dispatch<React.SetStateAction<'admin' | 'user'>>;
+}
+
+export interface VectorSearchResult {
+  fragment_id: string;
+  extraction_id: string;
+  document_id: string;
+  user_id: string;
+  group_ids: string[];
+  score: number;
+  text: string;
+  metadata: Record<string, any>;
+}
+
+export interface KGEntity {
+  name: string;
+  description: string;
+}
+
+export interface KGTriple {
+  subject: string;
+  predicate: string;
+  object: string;
+}
+
+export interface CommunityWraper {
+  summary: KGCommunity;
+}
+export interface KGCommunity {
+  title: string;
+  summary: string;
+  explanation: string;
+}
+
+export interface KGSearchResult {
+  method: 'local' | 'global';
+  content: any;
+  result_type: 'entity' | 'relationship' | 'community' | 'global';
+  fragment_ids: string[];
+  document_ids: string[];
+  metadata: Record<string, any>;
+}