LightRAG is by HKUDS — not by us.
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Indexed Oct 19, 2026 · 40,210 stars at index time. Maintainers: claiming verifies your identity and unlocks a higher assurance tier. Removal requests are honored.
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LightRAG
unclaimed listingactively maintainedFreeMIT
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
by Open Source Community · New publisher
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HKUDS/LightRAG is an open-source project by HKUDS: [EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation. Indexed here so it can be found — not resold.
It is free. Get it from the upstream repository: https://github.com/HKUDS/LightRAG
From the project's own README (excerpt, reproduced for discovery under its MIT license):
🚀 LightRAG: Simple and Fast Retrieval-Augmented Generation
   
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🎉 News • [2026.07]🎯[New Feature]: Add Smart Heading recognition feature for word documents. • [2026.05]🎯[New Feature]: Merge RagAnything into LightRAG🎉. Multimodal content parsing and extraction via MinerU / Docling services. • [2026.05]🎯[New Feature]: Introducing four selectable text chunking strategies: Fix, Recursive, Vector, and Paragraph. • [2026.05]🎯[New Feature]: Role-specific LLM configuration support, 4 distinct roles: EXTRACT, QUERY, KEYWORDS, and VLM, with independent LLM settings. • [2026.03]🎯[New Feature]: Integrated OpenSearch as a unified storage backend, providing comprehensive support for all four LightRAG storage. • [2026.03]🎯[New Feature]: Introduced a setup wizard. Support for local deployment of embedding, reranking, and storage backends via Docker. • [2025.11]🎯[New Feature]: Integrated RAGAS for Evaluation and Langfuse for Tracing. Updated the API to return retrieved contexts alongside query results to support context precision metrics. • [2025.10]🎯[Scalability Enhancement]: Eliminated processing bottlenecks to support Large-Scale Datasets Efficiently. • [2025.09]🎯[New Feature] Enhances knowledge graph extraction accuracy for Open-Sourced LLMs such as Qwen3-30B-A3B. • [2025.08]🎯[New Feature] Reranker is now supported, significantly boosting performance for mixed queries (set as default query mode). • [2025.08]🎯[New Feature] Added Document Deletion with automatic KG regeneration to ensure optimal query performance. • [2025.06]🎯[New Release] Our team has released RAG-Anything — an All-in-One Multimodal RAG system for seamless processing of text, images, tables, and…
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01Capabilities
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02Requirements & stack
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03Community
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04Trust Passport
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05Versions
Full history →| Version | Channel | Released | Notes |
|---|---|---|---|
| 0.0.0 | stable | Oct 19, 2026 | Indexed listing — see the upstream repository for real release history. |