LEANN
RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
💡 Why It Matters
LEANN addresses the challenge of efficient retrieval-augmented generation (RAG) by providing a solution that significantly reduces storage requirements while maintaining privacy and performance. This open source tool for engineering teams, particularly those in ML and AI, enables them to deploy RAG applications on personal devices with impressive storage savings of 97%. With a maturity level that suggests readiness for production use, LEANN is ideal for teams looking for a reliable, self-hosted option. However, it may not be suitable for projects requiring extensive cloud integration or those with high scalability demands.
🎯 When to Use
LEANN is a strong choice for teams needing a production-ready solution that prioritises privacy and local storage efficiency. Consider alternatives if your project requires extensive cloud capabilities or real-time collaboration features.
👥 Team Fit & Use Cases
LEANN is particularly beneficial for data scientists, machine learning engineers, and AI researchers who need to implement RAG systems efficiently. It is commonly integrated into personal AI applications, local data processing systems, and offline-first solutions.
🎭 Best For
🏷️ Topics & Ecosystem
📊 Activity
Latest commit: 2026-02-14. Over the past 96 days, this repository gained 6.1k stars (+154.3% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.