LightRAG

LightRAG is a simple and fast Retrieval-Augmented Generation (RAG) framework, designed to enhance large language models with efficient retrieval mechanisms. Developed as part of EMNLP 2025, it focuses on streamlined performance and ease of integration for natural language processing tasks.

LightRAG is built in Python, distributed under the MIT License license, 25.9k GitHub stars from 100 contributors, latest release v1.4.9.8.

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Language
Python
Latest Release
v1.4.9.8
License
MIT License

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Key Features

  • Efficient retrieval-augmented generation
  • Designed for fast and simple integration
  • Enhances large language models with retrieval capabilities
  • Suitable for research and production applications



Community

Stars
25.9k
Contributors
100
Open Issues
195
Forks
3.7k