vincentkoc/airgapped-offfline-rag
Secure, locally-run Retrieval-Augmented Generation system for document-based question-answering, utilizing Llama 3, Mistral, and Gemini models with a user-friendly Streamlit interface.
This tool helps you quickly find answers within your private PDF documents without sending any data to external services. You upload your documents, select a language model like Llama or Mistral that runs on your computer, and then ask questions directly. It's ideal for anyone who needs to extract information from sensitive documents while maintaining strict data privacy.
Use this if you need to query information from your PDFs securely offline, ensuring no data ever leaves your local environment.
Not ideal if you need to process documents other than PDFs, collaborate with others on document analysis, or require highly complex, internet-enabled AI capabilities.
Stars
80
Forks
25
Language
Python
License
GPL-3.0
Category
Last pushed
Feb 16, 2026
Commits (30d)
0
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