{"library":"langchain-neo4j","type":"library","category":null,"description":"LangChain Neo4j is an integration package connecting the LangChain framework with the Neo4j graph database. It provides functionalities for building LLM applications, including graph data interaction via `Neo4jGraph`, semantic search with `Neo4jVector`, conversational memory using `Neo4jChatMessageHistory`, and LangGraph checkpoint savers for state persistence. The current version is 0.9.0, with regular updates providing new features and compatibility improvements.","language":"python","status":"active","version":"0.9.0","tags":["langchain","neo4j","graph database","vector store","LLM","RAG","LangGraph"],"last_verified":"Sun May 24","install":[{"cmd":"pip install -U langchain-neo4j","imports":["from langchain_neo4j import Neo4jGraph","from langchain_neo4j import Neo4jVector","from langchain_neo4j import Neo4jChatMessageHistory","from langchain_neo4j import GraphCypherQAChain","from langchain_neo4j import Neo4jSaver","from langchain_neo4j import AsyncNeo4jSaver"]},{"cmd":"pip install -U 'langchain-neo4j[mmr]' # For Maximal Marginal Relevance search","imports":[]}],"homepage":null,"github":"https://github.com/langchain-ai/langchain-neo4j","docs":null,"changelog":"https://github.com/langchain-ai/langchain-neo4j/releases","pypi":"https://pypi.org/project/langchain-neo4j/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":17.5,"avg_import_s":3.42,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/langchain-neo4j/compatibility"}}