{"library":"neo4j-graphrag","type":"library","category":null,"description":"The neo4j-graphrag library provides Pythonic access and utilities for integrating with Neo4j's GraphRAG (Retrieval Augmented Generation) features. It simplifies building Knowledge Graphs from unstructured text, performing vector embeddings, and executing RAG queries against a Neo4j graph database. The current version is 1.14.1, with a release cadence that is quite active, often seeing minor releases monthly.","language":"python","status":"active","version":"1.14.1","tags":["neo4j","graphrag","llm","rag","knowledge-graph","ai"],"install":[{"cmd":"pip install neo4j-graphrag","imports":["from neo4j_graphrag import GraphRAGPipeline"]},{"cmd":"pip install neo4j-graphrag[openai,vertexai,ollama]","imports":[]}],"homepage":"https://neo4j.com/","github":"https://github.com/neo4j/neo4j-graphrag-python","docs":null,"changelog":null,"pypi":"https://pypi.org/project/neo4j-graphrag/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":11.4,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/neo4j-graphrag/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}