private-gpt

Overview

PrivateGPT is a production-ready AI project that enables users to interact with their documents using Large Language Models (LLMs) while maintaining complete privacy. Built by Zylon, this tool allows you to ask questions about your documents without any data leaving your execution environment, making it ideal for sensitive or regulated environments. The system works entirely offline without requiring an Internet connection. PrivateGPT provides a comprehensive API that follows and extends the OpenAI API standard, supporting both normal and streaming responses. It offers a high-level API that abstracts the complexity of RAG (Retrieval Augmented Generation) pipeline implementation, handling document parsing, splitting, metadata extraction, embedding generation, and storage automatically. For advanced users, it provides a low-level API for implementing custom pipelines, including embeddings generation and contextual chunks retrieval. The project includes a working Gradio UI client for testing the API, along with useful tools such as bulk model download scripts, ingestion scripts, and document folder monitoring. With over 57,000 GitHub stars, PrivateGPT has become a trusted solution for organizations requiring private, context-aware AI applications, particularly in financial services, defense, government, and healthcare sectors where data privacy is paramount.

Use Cases

• • Enterprise document analysis in regulated industries like banking, healthcare, and government
• • Offline document Q&A for sensitive information that cannot be sent to cloud services
• • Building private, context-aware AI applications with custom document processing pipelines

Getting Started