Image by Gerd Altmann/geralt | pixabay
Since Neo4j announced its integration with LangChain, we’ve seen myriad use cases around building with Retrieval-Augmented Generation (RAG) with Neo4j and LLM. This has led to a rapid increase in using knowledge graphs for RAG in recent months. It also seems that knowledge graph-based RAG systems tend to perform well against conventional RAG in terms of managing hallucinations. We have also seen a surge in using agent-based systems to further enhance th...
Read it: Create a Neo4j GraphRAG Workflow Using LangChain and LangGraph