Getting Started with HuggingChat: Your Open-Source AI Chat Platform
Learn how to deploy and customize HuggingChat (chat-ui) — the open-source chat interface powering Hugging Face's AI chat platform. Complete Docker setup guide with configuration tips.
What Is HuggingChat?
HuggingChat is the open-source chat interface that powers Hugging Face's popular chat platform at huggingface.co/chat. Built as the chat-ui project on GitHub, it provides a modern, feature-rich conversational AI interface that supports multiple LLM backends, web search augmentation, document upload and analysis, code highlighting with execution, and voice input — all wrapped in a sleek SvelteKit frontend.
With over 10,700 GitHub stars and an official Docker image on Docker Hub (712+ tags), HuggingChat is one of the most trusted and actively maintained open-source LLM chat frontends available today. Whether you want to chat with open models like Llama, Mistral, or Gemma, or connect to proprietary APIs, HuggingChat provides a unified, privacy-respecting interface.
Key Features
- Multi-Model Support — Switch between dozens of open-source and proprietary LLMs seamlessly
- Web Search Augmentation — Enable real-time web search to ground model responses in current information
- Document Upload & Analysis — Upload PDFs, images, text files and let the model analyze them
- Code Highlighting & Execution — Code blocks are beautifully formatted and can be executed in-session
- Voice Input — Speak your prompts using browser-based speech recognition
- Conversation Management — Save, organize, and search through your chat history
- Self-Hosted — Deploy on your own infrastructure with a single Docker command
Quick Start with Docker
Getting HuggingChat running on your own server takes just one command:
docker pull huggingface/chat-ui:latest
docker run -d --name huggingchat -p 8080:8080 huggingface/chat-ui:latestThen open http://localhost:8080 in your browser. The default configuration connects to Hugging Face's Inference API, but you can customize it to use your own models via a .env.local file or environment variables.
Customizing Your Deployment
HuggingChat supports extensive configuration through environment variables:
MONGODB_URL=mongodb://mongo:27017/chat-ui
HF_TOKEN=your_hf_token_here
MODELS=\'[{"name":"meta-llama/Llama-3.1-8B-Instruct","displayName":"Llama 3.1 8B"}]'This lets you configure which models are available, set up authentication, enable web search, and more — all without modifying the source code.
Why Self-Host HuggingChat?
Self-hosting HuggingChat gives you complete control over your AI conversations. Your chat history stays on your infrastructure, you can choose exactly which models to use, and you avoid API rate limits or usage-based pricing. It's the perfect solution for teams, organizations, or privacy-conscious individuals who want the Hugging Face chat experience on their own terms.
Conclusion
HuggingChat (chat-ui) is a polished, production-ready chat interface that combines the best of open-source AI with a modern user experience. With its official Docker image, extensive configuration options, and active development community, it's an excellent choice for anyone looking to deploy a self-hosted AI chat platform.