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Andy Lee
2025-07-19 19:54:21 -07:00
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README.md
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<img src="assets/logo-text.png" alt="LEANN Logo" width="400"> <img src="assets/logo-text.png" alt="LEANN Logo" width="400">
</p> </p>
# The smallest vector index in the world. RAGE! <p align="center">
## With LEANN, you can RAG Anything! <img src="https://img.shields.io/badge/Python-3.9%2B-blue.svg" alt="Python 3.9+">
<img src="https://img.shields.io/badge/License-MIT-green.svg" alt="MIT License">
<img src="https://img.shields.io/badge/Platform-Linux%20%7C%20macOS-lightgrey" alt="Platform">
</p>
<h3 align="center" tabindex="-1" class="heading-element" dir="auto">
The smallest vector index in the world. LEANN to RAG Anything!
</h3>
---
**97% smaller than FAISS.** RAG your emails, browser history, WeChat, or 60M documents on your laptop. No cloud, no API keys, no bullshit. **97% smaller than FAISS.** RAG your emails, browser history, WeChat, or 60M documents on your laptop. No cloud, no API keys, no bullshit.
@@ -13,16 +22,10 @@ git clone https://github.com/yichuan520030910320/LEANN-RAG.git && cd LEANN-RAG
python demo.py # RAG your first 1M documents python demo.py # RAG your first 1M documents
``` ```
<p align="center">
<img src="https://img.shields.io/badge/Python-3.9%2B-blue.svg" alt="Python 3.9+">
<img src="https://img.shields.io/badge/License-MIT-green.svg" alt="MIT License">
<img src="https://img.shields.io/badge/Platform-Linux%20%7C%20macOS-lightgrey" alt="Platform">
</p>
## The Difference is Stunning ## The Difference is Stunning
<p align="center"> <p align="center">
<img src="assets/storage-elegant.png" alt="LEANN vs Traditional Vector DB Storage Comparison" width="100%"> <img src="assets/effects.png" alt="LEANN vs Traditional Vector DB Storage Comparison" width="100%">
</p> </p>
**Bottom line:** Index 60 million Wikipedia articles in 6GB instead of 201GB. Your MacBook can finally handle real datasets. **Bottom line:** Index 60 million Wikipedia articles in 6GB instead of 201GB. Your MacBook can finally handle real datasets.

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