AI implementation using langchain4j and springAI frameworks with Java
-
Updated
Jan 23, 2025 - Java
AI implementation using langchain4j and springAI frameworks with Java
AI project that enables users to create artificial profiles/persona, add them as friends, and engage in conversations with them. The entire application is designed to run locally, eliminating the need for any paid AI services like ChatGPT. It utilizes Spring-AI to connect with a locally hosted Ollama model.
Spring AI, Ollama, model llama3.1
Spring AI, Ollama, llama3.1, nomic-embed-text, PGVector
Spring AI Functions With Local Ollama and Mistral
This project is a Spring Boot application that demonstrates an REST API using Ollama AI. It features embedding vectors, function calling, and streaming capabilities.
Spring AI — Ollama & Stability AI - This repository demonstrates how to build AI-powered backend systems seamlessly integrated with REST APIs, making it easy to develop, test, and deploy AI solutions in real-world scenarios.
Talk to your local LLM using ollama and spring AI
Demo Spring Boot project with Kotlin based on Josh Long's demo scenario
AGPL-3.0 Use Spring AI to create an Ollama Chatbot Client
Exploring interactions with LLMs : Practical insights with Spring AI
Add a description, image, and links to the spring-ai-ollama topic page so that developers can more easily learn about it.
To associate your repository with the spring-ai-ollama topic, visit your repo's landing page and select "manage topics."