{"repo":"zilliztech/vector-graph-rag","free":true,"listed":false,"github":"https://github.com/zilliztech/vector-graph-rag","clone":"git clone https://github.com/zilliztech/vector-graph-rag.git","description":"Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios.","language":"Python","stars":241,"topics":["graph-rag","graphrag","knowledge-base","knowledge-graph","rag","vector-database","milvus","multihop-question-answering","sota","visualization"],"license":"MIT","category":"ai-agents","readme_excerpt":"Vector Graph RAG Graph RAG with pure vector search — no graph database needed. 💡 Encode entities and relations as vectors in Milvus, replace iterative LLM agents with a single reranking pass — achieve state-of-the-art multi-hop retrieval at a fraction of the operational and computational cost. ✨ Features - No Graph Database Required — Pure vector search with Milvus, no Neo4j or other graph databases needed - Single-Pass LLM Reranking — One LLM call to rerank, no iterative agent loops (unlike IRCoT or multi-step reflection) - Knowledge-Intensive Friendly — Optimized for domains with dense factual content: legal, finance, medical, literature, etc. - Zero Configuration — Uses Milvus Lite by default, works out of the box with a single file - Multi-hop Reasoning — Subgraph expansion enables complex multi-hop question answering - State-of-the-Art Performance — 87.8% avg Recall@5 on multi-hop QA benchmarks, outperforming HippoRAG 📦 Installation With document loaders (PDF, DOCX, web pages) With additional embedding providers With OpenTelemetry tracing 🚀 Quick Start Note: Set OPENAI API KEY environment variable before running. 📄 With pre-extracted triplets — click to expand Skip LLM extraction if you already have knowledge graph triplets: 🔄 Incremental document updates — click to expand Use upsert documents by source() when a source file, message, or page is created or modified. In Vector Graph RAG, a Document is a passage/chunk; the source object is identified by metadata[\"sourc","default_branch":null,"files":null,"tree":[],"storefront":"/r/zilliztech","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/zilliztech/vector-graph-rag/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."}