LEANN and rag-system-ollama

Both tools offer local-first RAG systems, but LEANN focuses on efficient storage and privacy for general RAG, while rag-system-ollama specializes in high-performance orchestration of small language models via Ollama and LangGraph with advanced search capabilities, making them **competitors with different technical priorities and approaches to achieving local RAG**.

LEANN
70
Verified
rag-system-ollama
29
Experimental
Maintenance 17/25
Adoption 10/25
Maturity 24/25
Community 19/25
Maintenance 10/25
Adoption 3/25
Maturity 16/25
Community 0/25
Stars: 10,303
Forks: 894
Downloads:
Commits (30d): 10
Language: Python
License: MIT
Stars: 3
Forks:
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No Package No Dependents

About LEANN

yichuan-w/LEANN

[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

This tool helps you turn your computer into a private AI assistant for searching through all your digital information. It takes your personal documents, emails, browser history, chat logs, and even live social media feeds, allowing you to ask questions and get answers from them. Anyone who needs to quickly find information across a vast and varied personal data collection without relying on cloud services would use this.

personal-knowledge-management document-retrieval digital-archiving information-search data-privacy

About rag-system-ollama

darkzard05/rag-system-ollama

Advanced local-first RAG system powered by Ollama and LangGraph. Optimized for high-performance sLLM orchestration featuring adaptive intent routing, semantic chunking, intelligent hybrid search (FAISS + BM25), and real-time thought streaming. Includes integrated PDF analysis and secure vector caching.

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