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[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

Why this job: says: rag; topics: rag, retrieval-augmented-generation, vector-database, vector-search

What it does

We'd love for you to be part of the LEANN community! 👉 Join LEANN Slack If the invite link has expired or you have trouble joining, please open an issue and we'll help you get in!

Get started

curl -LsSf https://astral.sh/uv/install.sh | sh
Maintenance
Active
Last commit 12 days ago
Stars
13,783
+30 this week
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
v0.3.9
Released 7 days ago
Built with
Python
99% of the code

Is it looked after?

Contributors
23
Last 90 days
Issues
72% closed
37 still open
Pull requests
221 merged
13 waiting
Releases
31
5 in the last year

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More: languages, topics and project record

Languages

  • Python 99%
  • Shell <1%
  • CMake <1%
  • Jupyter Notebook <1%

Topics

  • ai
  • faiss
  • langchain
  • llama-index
  • llm
  • localstorage
  • offline-first
  • ollama
  • privacy
  • python
  • rag
  • retrieval-augmented-generation

Project record

  • JobRAG and search
  • StatusListed
  • Commits665
  • Forks1,282
  • Watching78
  • Stars in 28 days+137
  • CreatedJun 9, 2025
  • First seen by usNov 7, 2026
  • CheckedNov 9, 2026

Type to search.

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