The LangChain-Neo4j Partner Package, officially supported by Neo4j, integrates Neo4j's GraphRAG with the LangChain ecosystem, combining knowledge graphs and Retrieval-Augmented Generation (RAG) to multiply answerable question depth and breadth from a single source. This integration brings Neo4j features to LangChain users, enabling graph-based data representation, efficient querying, and scalability for AI applications. The `langchain-neo4j` package provides key features such as Neo4jGraph, Neo4jChatMessageHistory, Neo4jVector, and GraphCypherQAChain, facilitating seamless integration between LangChain and Neo4j. With a simple import statement, users can start building AI apps that leverage the strengths of both platforms, without requiring code changes.