What does it do?
LightRAG is a retrieval-augmented generation framework that uses knowledge graphs (entity-and-relationship structures) and vector embeddings for similarity-based retrieval. [1a][1b][1c] It helps someone index and query documents using local, global, hybrid, naive, or mix retrieval modes. [2a][2b] A supported use case is answering complex cross-document queries by combining detailed facts and abstract concepts. [3]
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| Package | Version | Downloads · 30d | Trend · 30d |
|---|---|---|---|
lightrag-hkuv1.5.7 | v1.5.7 | ≥105.5K |
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