DocsGPT is an open-source Retrieval Augmented Generation (RAG) tool designed to provide reliable, hallucination-free answers from diverse knowledge sources. It targets developers and users needing to integrate AI-powered Q&A into applications, offering features like broad document support, web scraping, and flexible LLM integration.

How It Works

DocsGPT employs a RAG architecture to ground LLM responses in user-provided data, mitigating hallucinations. It supports a wide array of document formats (PDF, DOCX, images, etc.) and data sources (URLs, sitemaps, GitHub). The system offers built-in tooling and agentic capabilities, allowing LLMs to interact with external APIs and services for enhanced functionality.

Quick Start & Requirements

• Install via git clone and running provided setup.sh (macOS/Linux) or setup.ps1 (Windows) scripts.
• Requires Docker.
• Setup involves choosing an inference option (public API, local, cloud API).
• Access the UI at http://localhost:5173/.
• Stop with docker compose down.
• Detailed documentation available: Quickstart, Documentation

Highlighted Details

• Supports over 15 document formats and various web/data sources.
• Offers integrations like React chat widgets, Discord/Telegram bots.
• Compatible with major LLMs (OpenAI, Google, Anthropic) and local models (Ollama, llama_cpp).
• Features secure and scalable deployment options, including Kubernetes support.
• Provides an API key system for managing integrations.

Maintenance & Community

• Active development with a public roadmap.
• Community support via Discord: discord.gg/docsgptai
• Offers commercial support and a "Lighthouse Program" for technical leaders.

Licensing & Compatibility

• Licensed under MIT.
• Permissive license suitable for commercial use and integration into closed-source applications.

Limitations & Caveats

The project is actively under development, with several features slated for release in Spring 2025, including Anthropic Tool compatibility and new agent scheduling capabilities.