private-gpt
Interact with your documents using the power of GPT, 100% privately, no data leaks
Star Growth
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.
Deep Analysis
vs LocalGPT / other private RAG: production-ready OpenAI-compatible API with LlamaIndex backend, dependency injection architecture, and enterprise upgrade path via Zylon — the most mature private document AI platform
⚡ Capabilities
- • 100% private document Q&A with offline LLM support
- • OpenAI-compatible REST API (high-level RAG + low-level primitives)
- • Document ingestion with automatic parsing, splitting, embedding
- • Contextual chunk retrieval for RAG pipelines
- • Gradio UI for interactive testing
- • Bulk model download and document watch utilities
- • Streaming and normal response modes
🔗 Integrations
✓ Best For
- ✓ Regulated industries needing fully private document Q&A (healthcare, legal, finance)
- ✓ Teams wanting an OpenAI-compatible API for private RAG
- ✓ Developers building private AI apps with production-ready primitives
✗ Not Ideal For
- ✗ Teams wanting zero-setup cloud RAG
- ✗ Lightweight prototyping (substantial infrastructure needed)
- ✗ Mobile or edge deployments
Languages
Deployment
⚠ Known Limitations
- ⚠ Hardware requirements scale with model size
- ⚠ Setup complexity for production deployment
- ⚠ README may lag behind documentation site
- ⚠ Enterprise features require Zylon platform
Pros
- + Complete privacy with no data leaving your execution environment at any point
- + Works entirely offline without Internet connection, ensuring data sovereignty
- + Production-ready with comprehensive API following OpenAI standards and both high-level and low-level access
Cons
- - Requires local compute resources and infrastructure setup
- - Limited to capabilities of locally deployed language models
- - May require technical expertise for optimal configuration and deployment
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