zilliztech / vector-graph-rag

Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios.

Why this job: says: rag, vector search; topics: rag, vector-database, knowledge-graph, knowledge-base, graphrag

What it does

No Graph Database Required. Pure vector search with Milvus, no Neo4j or other graph databases needed
Configurable Reranking. Single-pass generative reranking or two-stage Jev relation and passage scoring
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

pip install vector-graph-rag
# or
uv add vector-graph-rag

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