Integrating Neo4j with Generative AI

In this module, you will setup and use the Neo4j GraphRAG for Python package to:

• Create and configure a vector retriever.
• Perform semantic search using a vector index.
• Build a GraphRAG pipeline that uses retrievers to give context to an LLM.
• Use graph traversal in combination with vector search for enhanced retrieval.
• Implement text-to-Cypher retrieval for natural language querying.

In addition, you will explore popular GenAI frameworks for integrating with Neo4j, such as LangChain and LlamaIndex.

If you are ready, let's get going!