{"library":"llama-index-graph-stores-neo4j","type":"library","category":null,"description":"The `llama-index-graph-stores-neo4j` library provides an integration for LlamaIndex to use Neo4j as a backend for graph stores. It enables persisting, visualizing, and querying knowledge graphs directly within a Neo4j database, supporting both triplet-based and property graph models. The library is actively maintained as part of the broader LlamaIndex ecosystem, with frequent updates to ensure compatibility and introduce new features.","language":"python","status":"active","version":"0.7.0","tags":["LlamaIndex","Neo4j","Graph Database","LLM","RAG","Knowledge Graph"],"last_verified":"Sun May 24","install":[{"cmd":"pip install llama-index-graph-stores-neo4j","imports":["from llama_index.graph_stores.neo4j import Neo4jGraphStore","from llama_index.graph_stores.neo4j import Neo4jPropertyGraphStore"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/llama-index-graph-stores-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":18.8,"avg_import_s":6.35,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/llama-index-graph-stores-neo4j/compatibility"}}