{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/7"}],"enrichment":{"capability":"Integrates Neo4j graph databases with LangChain, providing wrappers for querying graphs, storing chat history, managing vector stores, and building knowledge graphs from text using LLMs.","skillfed_tags":["graph-database","knowledge-graph","llm-integration"],"use_cases":["Build a chatbot that recalls conversation history from Neo4j across sessions.","Translate natural language questions into Cypher queries and retrieve graph data via an LLM.","Store and search document embeddings in Neo4j for semantic similarity retrieval.","Extract entities and relationships from unstructured text and populate a Neo4j knowledge graph.","Persist LangGraph agent state and checkpoints in Neo4j for fault tolerance and replay."],"what_it_does":"langchain-neo4j bridges Neo4j graph databases and LangChain's LLM framework, providing high-level abstractions for common patterns. It includes Neo4jGraph for direct Cypher queries, Neo4jChatMessageHistory for persisting conversations, Neo4jVector for semantic search over documents, and GraphCypherQAChain for translating natural language questions into Cypher queries. It also offers Neo4jSaver and AsyncNeo4jSaver as checkpoint backends for LangGraph workflows, and LLMGraphTransformer to extract knowledge graphs from unstructured text.\n\nThe package is designed for developers building AI applications that need to store, query, or reason over structured knowledge in a graph. Its main dependencies are langchain-core, langgraph, neo4j, and neo4j-graphrag\u2014all part of the LangChain ecosystem. Installation is straightforward, but you must have a Neo4j instance running and accessible over the network.","worth_installing":"Yes, if you are building LangChain applications that need to integrate Neo4j. The package is actively maintained, has low install friction, carries no known vulnerabilities, and provides well-documented abstractions for common graph-LLM patterns. Install only if you have a Neo4j instance available and a use case that benefits from graph storage or reasoning."},"id":"langchain-neo4j","links":{"html":"https://skillfed.io/packages/langchain-neo4j","md":"https://skillfed.io/packages/langchain-neo4j.md","pypi":"https://pypi.org/project/langchain-neo4j/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-10","license_spdx":null,"license_treatment":"permissive","name":"langchain-neo4j","python_support":"supports_current","summary":"An integration package connecting Neo4j and LangChain"},"popularity":{"monthly_downloads":252731,"position":8535,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.10.0"}