PrivateGPT
An open-source project for asking questions of your documents fully offline and private.
PrivateGPT answers questions over your documents with no data ever leaving your environment. Ingestion, embedding, retrieval, and generation can all run against local models, so the whole pipeline stays offline.
It was one of the projects that made the private-RAG pattern concrete, and it remains a clear reference implementation of it.
Where it fits
A fit when the absolute requirement is that documents and questions never touch a third-party service.
Where it does not fit
Offline-first by design: not the tool when you want the quality of a hosted frontier model in the loop.
Alternatives to PrivateGPT
The closest options on the map, and where each fits instead.
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AnythingLLM Document chat app
Best when non-technical users need to chat with their own documents quickly, and you want retrieval handled for you rather than assembled.
Unlike PrivateGPT No hosted APIMaturity: growing
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RAGFlow RAG application
Strong when source documents are messy and layout-heavy, and you want a self-hosted, ready-to-run RAG app rather than a toolkit.
Unlike PrivateGPT No hosted APIMaturity: growing
Pairs with
Commonly used alongside it.
