HKUDS/MiniRAG
"MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"
This tool helps you quickly get accurate answers to complex questions from your own documents, even when using smaller, more efficient AI models. You provide your text data, and it processes it into a structured knowledge base, then uses that to generate precise responses. It's designed for anyone who needs to build an efficient question-answering system without relying on very large, expensive AI models.
1,775 stars.
Use this if you need to deploy an effective question-answering system on your own data using smaller, more resource-efficient AI models.
Not ideal if you primarily work with very simple, single-fact questions or if you already have access to powerful, large language models that meet your performance needs.
Stars
1,775
Forks
233
Language
Python
License
MIT
Category
Last pushed
Oct 16, 2025
Commits (30d)
0
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