Deploy and Host open-webui on Railway

Open-webui is a highly flexible, user-focused, and privacy-conscious web interface for large language models (LLMs). It enables users to interact with offline or remote LLMs like Ollama or OpenAI and supports advanced features including plugins, pipelines, role-based access, and progressive web app capabilities.

About Hosting open-webui

Hosting open-webui involves deploying a secure, self-hosted AI platform, giving complete control over configuration and privacy for teams or individuals. The Railway platform simplifies this by enabling fast, automated setup—no manual server management needed. Railway handles dependency installation, scaling, storage, and public/private web access. Optional pipelines add modular workflows and custom logic. The system supports both Docker and containerized deployments, allowing seamless integration of LLMs, user groups, and plugins with minimal hands-on infrastructure work.

Why Deploy open-webui on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying open-webui on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.

Common Use Cases

• Local AI development/testing environments for rapid LLM prototyping
• Internal business AI assistants and secure chatbots for employees
• Custom enterprise AI dashboards with advanced access controls

Dependencies for open-webui Hosting

• Python 3.11+ environment or Docker (for containerized deployment)
• LLM backend such as Ollama (local) or OpenAI-compatible API key

Deployment Dependencies

• Open WebUI Pipelines repository: https://github.com/open-webui/pipelines
• Railway deploy template: https://railway.com/deploy/Hez7Hu
• Open WebUI main repository: https://github.com/open-webui/open-webui