zilliztech/vector-graph-rag
Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios.
Encodes entities and relations as vectors in Milvus, eliminating the need for dedicated graph databases while replacing iterative LLM agent loops with a single reranking pass. Supports automatic triplet extraction from unstructured documents via LLM, optional pre-extracted knowledge graphs, and subgraph expansion for multi-hop traversal—all backed by Milvus Lite (zero-config local storage) or Zilliz Cloud for production deployments.
Available on PyPI.
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2
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Language
Python
License
MIT
Category
Last pushed
Mar 05, 2026
Commits (30d)
0
Dependencies
15
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