{"repo":"neo4j/neo4j-graphrag-python","free":true,"listed":false,"github":"https://github.com/neo4j/neo4j-graphrag-python","clone":"git clone https://github.com/neo4j/neo4j-graphrag-python.git","description":"Neo4j GraphRAG for Python","language":"Python","stars":1259,"topics":["ai","cypher","genai","graph-database","neo4j","python","python3","rag","graphrag"],"license":null,"category":"ai-agents","readme_excerpt":"Neo4j GraphRAG Package for Python The official Neo4j GraphRAG package for Python enables developers to build graph retrieval augmented generation (GraphRAG) applications using the power of Neo4j and Python. As a first-party library, it offers a robust, feature-rich, and high-performance solution, with the added assurance of long-term support and maintenance directly from Neo4j. 📄 Documentation Documentation can be found here Resources A series of blog posts demonstrating how to use this package: - Build a Knowledge Graph and use GenAI to answer questions: - GraphRAG Python Package: Accelerating GenAI With Knowledge Graphs - Retrievers: when the Neo4j graph is already populated: - Getting Started With the Neo4j GraphRAG Python Package - Enriching Vector Search With Graph Traversal Using the GraphRAG Python Package - Hybrid Retrieval for GraphRAG Applications Using the GraphRAG Python Package - Enhancing Hybrid Retrieval With Graph Traversal Using the GraphRAG Python Package - Effortless RAG With Text2CypherRetriever A list of Neo4j GenAI-related features can also be found at Neo4j GenAI Ecosystem. 🐍 Python Version Support Version Supported? --------- -----------: 3.14 &check; 3.13 &check; 3.12 &check; 3.11 &check; 3.10 &check; 📦 Installation To install the latest stable version, run: Optional Dependencies This package has some optional features that can be enabled using the extra dependencies described below: - LLM providers (at least one is required for RAG and KG Builder ","default_branch":null,"files":null,"tree":[],"storefront":"/r/neo4j","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/neo4j/neo4j-graphrag-python/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}