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ai-agent

LEANN: Private RAG App

Run a fast RAG app with 97% storage savings. For founders, backed by 12k+ GitHub stars
11,850 stars1,054 forksPythonUpdated 6/2/2026100% free ยท open source
What it does

LEANN allows you to run a fast and accurate Retrieval-Augmented Generation (RAG) application with significant storage savings, making it possible to deploy AI models on personal devices while maintaining privacy

When to use it
  • โ€ขWhen you need to deploy AI models on devices with limited storage capacity
  • โ€ขWhen you require a high level of data privacy for your AI application
  • โ€ขWhen you want to reduce the latency and improve the responsiveness of your RAG application
Quick start
  1. 1Install LEANN from the GitHub repository: https://github.com/StarTrail-org/LEANN
  2. 2Set up your Python environment to run LEANN, ensuring you have the required dependencies
  3. 3Prepare your dataset and configure LEANN to run your RAG application
  4. 4Test and fine-tune your LEANN-powered RAG application for optimal performance
Ready-to-paste prompt
python -m leann.run --model-name my_rag_model --dataset my_dataset --storage-size 0.03
Saves to your device

Topics

ai
faiss
gpt-oss
langchain
llama-index
llm
localstorage
offline-first
ollama
privacy
python
rag
retrieval-augmented-generation
vector-database
vector-search
vectors
What's inside โ€” free to inspect
No purchase needed

Read the entire source before you build โ€” unlike paid marketplaces that hide it behind a buy button.

11
top-level files
16
folders
81.2M
repo size
MIT
license
Key files
.pre-commit-config.yaml
README.md
File tree
.devcontainer/
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data/
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docs/
examples/
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tests/
videos/
.gitignore
.gitmodules
.pre-commit-config.yaml
.python-version
CLAUDE.md
demo.ipynb
LICENSE
llms.txt
Quick Actions
Details
Creator
StarTrail-org
Language
Python
Category
ai-agent
Published
6/9/2025

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