Private GPT
by Community
Interact with your documents using the power of GPT, 100% privately, no data leaks
OSS
Private GPT
Added 1 June 2026
Overview
Private GPT is a Python application that lets you query your own documents using GPT models while keeping all data local. It runs entirely on your machine with no data sent to external servers, using local LLMs and embeddings to process documents privately.
Best for
Best for
Teams handling confidential documents who need privacy guarantees over speed
Use cases
- Chat with proprietary documents without cloud exposure
- Build document Q&A systems for sensitive data
- Prototype RAG applications with local inference
Notes
Private GPT is a Python application that lets you query your own documents using GPT models while keeping all data local. It runs entirely on your machine with no data sent to external servers, using local LLMs and embeddings to process documents privately.
57,218 stars on GitHub. Last updated 2026-02-26. Licensed Apache-2.0.
Use cases
- Chat with proprietary documents without cloud exposure
- Build document Q&A systems for sensitive data
- Prototype RAG applications with local inference
Pros
- Zero data leaves your machine, no external API calls
- Works with local open-source models, no vendor lock-in
- Active community project with 57k+ stars
Cons
- Requires significant local compute resources for model inference
- Performance slower than cloud-based GPT APIs
- Setup and dependency management more complex than managed services
Indexed from awesome-langchain and enriched against its public facts.
Pros
- Zero data leaves your machine, no external API calls
- Works with local open-source models, no vendor lock-in
- Active community project with 57k+ stars
Cons
- Requires significant local compute resources for model inference
- Performance slower than cloud-based GPT APIs
- Setup and dependency management more complex than managed services
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