diff --git a/docs/source/index.md b/docs/source/index.md
index 10a0bbf..4cd4858 100644
--- a/docs/source/index.md
+++ b/docs/source/index.md
@@ -139,6 +139,8 @@ docker run -it --network health-rec_app-network -v <path_to_data_dir_with_json_f
 
 Then we can run the following commands to upload the data to the vector database:
 
+**Note**: Replace `<collection_name>` with the name of the collection you want to create.  The default collection name specified in the `.env.development` file is `test`.
+
 ```bash
 python3 health_rec/manage_data.py create --name <collection_name>
 OPENAI_API_KEY=$YOUR_OPENAI_API_KEY python3 health_rec/manage_data.py load --name <collection_name> --data_dir /data --load_embeddings
diff --git a/eval/generate_dataset.py b/eval/generate_dataset.py
index 14eacc2..2871e09 100644
--- a/eval/generate_dataset.py
+++ b/eval/generate_dataset.py
@@ -121,7 +121,7 @@ def create_synthetic_dataset(
     prompt = ChatPromptTemplate.from_template(query_generation_template)
 
     chain = (
-        {
+        {  # type: ignore
             "context": RunnablePassthrough(),
             "max_context_services": RunnablePassthrough(),
             "situation_instruction": RunnablePassthrough(),
diff --git a/eval/generate_dataset_sc_mq.py b/eval/generate_dataset_sc_mq.py
index fbcf990..2a1d381 100644
--- a/eval/generate_dataset_sc_mq.py
+++ b/eval/generate_dataset_sc_mq.py
@@ -103,7 +103,7 @@ def create_synthetic_dataset(
     prompt = ChatPromptTemplate.from_template(query_generation_template)
 
     chain = (
-        {
+        {  # type: ignore
             "context": RunnablePassthrough(),
             "max_context_services": RunnablePassthrough(),
             "situation_instruction": RunnablePassthrough(),
diff --git a/eval/rag-evaluation-pipeline.py b/eval/rag-evaluation-pipeline.py
index ffa6821..8701866 100644
--- a/eval/rag-evaluation-pipeline.py
+++ b/eval/rag-evaluation-pipeline.py
@@ -96,7 +96,7 @@ def create_synthetic_dataset(
     prompt = ChatPromptTemplate.from_template(query_generation_template)
 
     chain = (
-        {
+        {  # type: ignore
             "context": RunnablePassthrough(),
             "max_context_services": RunnablePassthrough(),
             "format_instructions": lambda _: output_parser.get_format_instructions(),