L
LightRAG
HKUDS/LightRAG
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
★38.6kstars
Python
MIT
Updated: Today
📋 Project at a Glance
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What's this?A open-source Data & Infrastructure project, built with Python, focusing on genai and gpt
Who made it?Maintained by HKUDS team, 38.6K⭐ on GitHub, #40 out of 3133 in Data & Infrastructure
Why does it exist?As the Data & Infrastructure landscape evolved, the HKUDS team identified the need for better genai solutions. LightRAG was created to simplify gpt workflows.
What can it do?Key use cases: gpt-4, graphrag, knowledge-graph
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/HKUDS/LightRAG | 官网 https://arxiv.org/abs/2410.05779
🔗 github.com/HKUDS/LightRAG | 官网 https://arxiv.org/abs/2410.05779
Topics
genaigptgpt-4graphragknowledge-graphlarge-language-modelsllmragretrieval-augmented-generation