LangChainAI and Neo4j Implement Python-based RAG System with Decision-Making Agents and Vector Tools by Anthony Alcaraz

LangChainAI and Neo4j have collaborated to enhance the RAG system with decision-making agents and vector and graph chain tools. The implementation demonstrates a practical application of RAG using Neo4j and LangChain. The Python implementation of RAG involves OpenAI, Weaviate, and LangChain. LangChainAI and codegptAI have developed a self-agent with RAG tools, allowing for the use of multiple agents on various topics. Anthony Alcaraz discusses the use of embeddings and knowledge graphs as the ultimate tools for RAG systems.