LightRAG
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
Quickly set up a system that generates text by retrieving and processing information from different sources.
From the README
git clone https://github.com/HKUDS/LightRAG.git cd LightRAG # Bootstrap the development environment (recommended)
- [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.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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LightRAG has 39.3k stars on GitHub. It has been forked 5.5k times. LightRAG is written mainly in Python. It has been in active development since 2024. LightRAG is available under the MIT license. Its main topics are docling, genai, gpt, graphrag.
What is LightRAG?
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
Is LightRAG open source?
LightRAG is an open-source project. It is released under the MIT license.
Is LightRAG free?
Yes. LightRAG is free and open source — you can use, modify and self-host it.
What license does LightRAG use?
LightRAG is available under the MIT license.
What language is LightRAG written in?
LightRAG is written mainly in Python.
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