LEANN and rag-demystified

LEANN is a production-ready RAG system optimized for on-device efficiency, while rag-demystified is an educational reference implementation for understanding RAG pipeline architecture—they serve different purposes (deployment vs. learning) rather than competing for the same use case.

LEANN
70
Verified
rag-demystified
41
Emerging
Maintenance 17/25
Adoption 10/25
Maturity 24/25
Community 19/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 15/25
Stars: 10,303
Forks: 894
Downloads:
Commits (30d): 10
Language: Python
License: MIT
Stars: 860
Forks: 54
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
No risk flags
Stale 6m 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-demystified

pchunduri6/rag-demystified

An LLM-powered advanced RAG pipeline built from scratch

This project helps anyone who needs to answer complex questions by pulling information from various sources like documents or tables. It takes your multi-part question and a collection of your data (e.g., Wikipedia articles, internal reports) as input. It then generates a clear, accurate answer, citing the specific data used, which is particularly useful for analysts, researchers, or anyone needing reliable, sourced information.

question-answering information-retrieval data-analysis knowledge-management

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