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PrivateGPT

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What is PrivateGPT?

PrivateGPT is a production-ready AI project for querying documents using Large Language Models (LLMs). It ensures 100% privacy, with no data leaving the execution environment. The project offers both high-level and low-level APIs for RAG pipelines. It includes a Gradio UI for testing and supports offline usage. PrivateGPT is ideal for privacy-sensitive industries like healthcare and legal.

Features

High-level API for document ingestion and chat
Low-level API for embeddings and contextual retrieval
Supports OpenAI API standard for compatibility
Gradio UI for easy testing and interaction
Offline usage with no data leakage

Pros and Cons of PrivateGPT

Pros

Ensures complete data privacy and security
Supports both streaming and normal API responses
Extensible architecture for custom implementations
Integration with popular AI frameworks
Ideal for privacy-sensitive industries

Cons

Requires local setup for offline usage
Dependent on local computational resources
Limited to document-based queries

PrivateGPT Use Cases

Querying sensitive documents in healthcare
Legal document analysis with privacy
Building private, context-aware AI apps
Offline AI applications for remote areas
Custom RAG pipeline implementations

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