Open-Source RAG Assistant
DocsGPT is an open-source genAI tool that helps users get reliable answers from any knowledge source, while avoiding hallucinations. It enables quick and reliable information retrieval, with tooling and agentic system capability built in.
- 🗂️ Wide Format Support: Reads PDF, DOCX, CSV, XLSX, EPUB, MD, RST, HTML, MDX, JSON, PPTX, and images.
- 🌐 Web & Data Integration: Ingests from URLs, sitemaps, Reddit, GitHub and web crawlers.
- ✅ Reliable Answers: Get accurate, hallucination-free responses with source citations viewable in a clean UI.
- 🔑 Streamlined API Keys: Generate keys linked to your settings, documents, and models, simplifying chatbot and integration setup.
- 🔗 Actionable Tooling: Connect to APIs, tools, and other services to enable LLM actions.
- 🧩 Pre-built Integrations: Use readily available HTML/React chat widgets, search tools, Discord/Telegram bots, and more.
- 🔌 Flexible Deployment: Works with major LLMs (OpenAI, Google, Anthropic) and local models (Ollama, llama_cpp).
- 🏢 Secure & Scalable: Run privately and securely with Kubernetes support, designed for enterprise-grade reliability.
- Full GoogleAI compatibility (Jan 2025)
- Add tools (Jan 2025)
- Manually updating chunks in the app UI (Feb 2025)
- Devcontainer for easy development (Feb 2025)
- Anthropic Tool compatibility
- Add triggerable actions / tools (webhook)
- Add OAuth 2.0 authentication for tools and sources
- Chatbots menu re-design to handle tools, scheduling, and more
You can find our full roadmap here. Please don't hesitate to contribute or create issues, it helps us improve DocsGPT!
We're eager to provide personalized assistance when deploying your DocsGPT to a live environment.
Note
Make sure you have Docker installed
A more detailed Quickstart is available in our documentation
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Clone the repository:
git clone https://github.com/arc53/DocsGPT.git cd DocsGPT
For macOS and Linux:
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Run the setup script:
./setup.sh
This interactive script will guide you through setting up DocsGPT. It offers four options: using the public API, running locally, connecting to a local inference engine, or using a cloud API provider. The script will automatically configure your .env file and handle necessary downloads and installations based on your chosen option.
For Windows:
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Follow the Docker Deployment Guide:
Please refer to the Docker Deployment documentation for detailed step-by-step instructions on setting up DocsGPT using Docker.
Navigate to http://localhost:5173/
To stop DocsGPT, open a terminal in the DocsGPT directory and run:
docker compose -f deployment/docker-compose.yaml down(or use the specific docker compose down command shown after running setup.sh).
Note
For development environment setup instructions, please refer to the Development Environment Guide.
Please refer to the CONTRIBUTING.md file for information about how to get involved. We welcome issues, questions, and pull requests.
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Application - Flask app (main application).
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Extensions - Extensions, like react widget or discord bot.
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Scripts - Miscellaneous scripts.
We as members, contributors, and leaders, pledge to make participation in our community a harassment-free experience for everyone, regardless of age, body size, visible or invisible disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation. Please refer to the CODE_OF_CONDUCT.md file for more information about contributing.
The source code license is MIT, as described in the LICENSE file.
This project is supported by:
