dmayboroda/minima
On-premises conversational RAG with configurable containers
This project helps you chat with your personal documents and files, such as PDFs, Word documents, or spreadsheets, to quickly find answers to your questions. It takes your collection of local files as input and lets you ask questions in natural language, providing answers based solely on your documents. It's designed for anyone who needs to extract information from a large personal or corporate document collection without sharing their data with external AI services.
1,039 stars.
Use this if you need to query your own private documents using conversational AI but require strict data privacy by keeping all your information on your own computer or private cloud.
Not ideal if you prefer to use only web-based tools for your AI interactions or if your documents are already stored in cloud services with native AI search capabilities.
Stars
1,039
Forks
104
Language
Python
License
MPL-2.0
Category
Last pushed
Jan 22, 2026
Commits (30d)
0
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