HKUDS/LightRAG
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
LightRAG helps developers build efficient AI applications that can answer questions accurately using large amounts of information. It takes your unstructured data (like documents, images, and videos) and a user's question, then provides a precise answer with citations to the original sources. This tool is designed for AI developers and engineers who are creating advanced conversational AI or knowledge retrieval systems.
29,302 stars. Actively maintained with 309 commits in the last 30 days.
Use this if you are a developer building RAG-powered applications and need a flexible, fast, and scalable framework to integrate various data types and storage solutions.
Not ideal if you are an end-user looking for a ready-to-use application, as this is a developer tool requiring technical implementation.
Stars
29,302
Forks
4,198
Language
Python
License
MIT
Category
Last pushed
Mar 13, 2026
Commits (30d)
309
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