Private Gpt

PrivateGPT is an open-source production-ready framework that lets you deploy generative AI entirely on-premise, keeping sensitive documents and queries secure. Born in May 2023, it quickly became the #1 repository on GitHub twice, amassing over 57,000 stars and 8,000 forks. Developed by the same team behind Zylon, PrivateGPT provides a novel API and building blocks for building context-aware AI applications that retrieve and generate responses from local documents — no internet connection needed. PrivateGPT supports multiple open-source and commercial LLMs, uses Retrieval-Augmented Generation (RAG), and can run in air-gapped environments. It handles various document formats including PDF and DOCX, and offers a built-in Gradio app for quick testing as well as an API similar to OpenAI's. The framework is designed for developers and technical teams who need privacy-first AI without cloud dependency. In June 2025, PrivateGPT reached version 1.0, now positioned as the official open-source backend for private AI. This stable release solidifies its role as the go-to foundation for building secure on-premise RAG systems. The project remains actively maintained with community contributions. Compared to alternatives like LlamaIndex or LangChain, PrivateGPT is laser-focused on privacy and on-premise deployment. While LlamaIndex and LangChain are more general orchestration frameworks, PrivateGPT bundles RAG, model support, and a ready-to-use API out of the box, making it easier to start with private AI.