Deploy and Host Langflow on Railway

What is Langflow?

Langflow is an open-source, low-code platform for building, testing, and deploying AI-powered agents and workflows. It features a visual drag-and-drop interface that lets users create LLM pipelines, connect data sources, and orchestrate complex AI applications—without the need for extensive coding. Langflow supports integration with LangChain, LlamaIndex, multiple LLMs, and vector databases. It enables both rapid prototyping and production-grade deployment for developers and non-programmers alike.

About Hosting Langflow

Hosting Langflow means deploying a running instance of its frontend visual editor and backend workflow engine. To host on platforms like Railway, you provision required CPU, memory, and persistent storage, then deploy the prebuilt Docker template or source code. The hosting setup involves configuring environment variables (such as secret keys and storage options) and connecting to a managed database for flow persistence. With Railway, deployment is streamlined: infrastructure is provisioned, scaling is automated, and you receive a public URL for instant access to your Langflow application. Monitoring and scaling resources is essential as your use increases.

Common Use Cases

Visual LLM App Design: Build and prototype AI pipelines visually for chatbots, RAG workflows, or multi-agent systems.
Enterprise AI Integrations: Connect to private datasets and vector stores for internal analytics or knowledge bots.
Education and Demos: Teach AI concepts or demo LLM applications interactively with minimal setup.

Dependencies for Langflow Hosting

Docker (for containerized deployments, e.g. using itzg/langflow image)
PostgreSQL database (for production-grade persistence)

Deployment Dependencies

Or, use the “Deploy to Railway” button from the documentation for one-click setup.

Why Deploy Langflow 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 Langflow 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.