Deploy and Host OpenWebUI - Self-Hosted AI Chat Interface

Deploy your own ChatGPT-like interface with support for multiple LLM providers (OpenAI, Anthropic, Ollama, Google, and more).

About Hosting

OpenWebUI is a feature-rich, self-hosted web interface for various Large Language Models. This deployment creates a fully functional AI chat application with persistent storage for conversations, user management, and customizable settings. The application runs in a Docker container with a SQLite database for data persistence.

Why Deploy

• Privacy: Keep your conversations and data on your own infrastructure
• Cost Control: Use your own API keys, avoid platform markups
• Customization: Full control over models, prompts, and interface
• Multi-Provider: Switch between OpenAI, Anthropic, Google, and local models
• Team Collaboration: Built-in user management and conversation sharing
• No Vendor Lock-in: Export your data anytime, switch providers freely

Common Use Cases

• Personal AI Assistant: Private ChatGPT alternative with your API keys
• Team Workspace: Shared AI chat interface for organizations
• Development Environment: Test and compare different LLM models
• Educational Platform: Provide students with controlled AI access
• Customer Support: Internal tool for support teams with AI assistance
• Content Creation Hub: Centralized platform for AI-assisted writing
• Research Tool: Document analysis and multi-model comparison

Dependencies for OpenWebUI

Deployment Dependencies

• Docker Image: ghcr.io/open-webui/open-webui:main
• Port: 8080 (HTTP)
• Persistent Volume: /app/backend/data (minimum 5GB recommended)
• RAM: Minimum 512MB, 1GB+ recommended for better performance
• CPU: 0.5 vCPU minimum, 1 vCPU recommended
• Environment Variables:
  • PORT=8080 (Railway port binding)
  • WEBUI_SECRET_KEY (JWT secret, auto-generated if not provided)
  • OPENAI_API_KEY (Optional: for OpenAI models)
  • ANTHROPIC_API_KEY (Optional: for Claude models)
  • OLLAMA_BASE_URL (Optional: for local Ollama instance)
  • WEBUI_AUTH=true (Enable authentication, recommended)

Runtime Dependencies

• SQLite: Embedded database (included in container)
• Python 3.11: Runtime environment (included in container)
• Node.js: Frontend build (pre-built in container)

Optional Integrations

• LLM Providers: At least one API key (OpenAI, Anthropic, etc.) or Ollama endpoint
• External Storage: Can be configured for file uploads
• OAuth Providers: Google, GitHub, etc. (optional for SSO)

Quick Start

1. Click "Deploy on Railway"
2. Set your preferred LLM API keys in environment variables
3. Wait for deployment (typically 2-3 minutes)
4. Access your OpenWebUI instance via provided Railway URL
5. Create your admin account on first visit

Post-Deployment

• Default admin account is created on first visit
• Configure models in Settings → Models
• Add team members in Settings → Users
• Customize interface in Settings → Interface

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