LightRAG

About LightRAG

🚀 LightRAG: Simple and Fast Retrieval-Augmented Generation 🎉 News [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: , , , and . [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.

docling genai gpt graphrag knowledge-graph large-language-models llm mineru rag ragas

Quick Facts

Stars	40,210
Forks	5,705
Language	Python
Category	AI 工具
License	MIT
Quality Score	61.948305801124/100
Open Issues	392
Last Updated	2026-10-15
Created	2024-10-02
Platforms	cli, python
Est. Tokens	~21k

Compatible Skills

These tools work well together with LightRAG for enhanced workflows:

ragflow — semantic(0.44)+complementary+rare_topics+same_lang+similar_pop+shared_platform (74%)
langroid — semantic(0.42)+complementary+rare_topics+same_lang+similar_pop+shared_platform (64%)
PocketFlow — semantic(0.27)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
MemOS — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)

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Frequently Asked Questions

What is LightRAG?

LightRAG is [EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation. It is categorized as a AI 工具 with 40.2k GitHub stars.

What programming language is LightRAG written in?

LightRAG is primarily written in Python. It covers topics such as docling, genai, gpt.

How do I install or use LightRAG?

You can find installation instructions and usage details in the LightRAG GitHub repository at github.com/HKUDS/LightRAG. The project has 40.2k stars and 5705 forks, indicating an active community.

What license does LightRAG use?

LightRAG is released under the MIT license, making it free to use and modify according to the license terms.

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