Railway

Deploy Flowise with Workers

Flowise with workers, Redis, Postgres, and persistent storage.

Deploy Flowise with Workers

Just deployed

/root/.flowise

Just deployed

/data

Just deployed

/var/lib/postgresql/data

Railway

Deploy and Host Flowise with Workers on Railway

Flowise with Workers is an advanced, production-style deployment for building AI agents, chatbots, RAG pipelines, and LLM workflows with a visual web UI. This template combines Flowise Web, Flowise Worker, Redis, PostgreSQL, and persistent storage so workloads can be processed through a queue-based architecture.

About Hosting Flowise with Workers

Deploying Flowise with Workers on Railway provides a scalable Flowise setup using multiple services. Flowise Web runs the browser-based UI on port 3000, while Flowise Worker processes queued jobs in the background. Redis acts as the queue and message broker between the Web and Worker services, and PostgreSQL stores Flowise database records. A Railway Volume is mounted on the Flowise Web service at /root/.flowise to persist local Flowise files, API key files, secret files, logs, and blob storage across restarts and redeployments.

Note This is an advanced Flowise template. It runs multiple Railway services and may cost more than a basic single-service Flowise deployment.

Common Use Cases

  • Running Flowise with background workers for queue-based job processing
  • Building AI agents, chatbots, and LLM workflows with a visual web UI
  • Prototyping and hosting RAG pipelines with document loaders, embeddings, and vector stores
  • Running a more durable Flowise setup with PostgreSQL-backed database storage
  • Scaling AI workflow execution by separating the Web UI from background worker processing

Dependencies for Flowise with Workers Hosting

  • Flowise Web service using the official Flowise Docker image
  • Flowise Worker service using the official Flowise Worker Docker image
  • Railway Redis service for queue-based job processing
  • Railway PostgreSQL service for database-backed Flowise data
  • Railway Volume mounted on Flowise Web at /root/.flowise
  • Public HTTP access through Railway on port 3000
  • Default dashboard credentials using admin and admin123

Deployment Dependencies

Default Credentials

This template includes default Flowise dashboard credentials so users can deploy quickly:

Username: admin
Password: admin123

Users can change the default username and password from Railway Variables before or after deployment. For public deployments, it is recommended to replace the default password with a stronger value before sharing the Flowise URL.

Architecture

This template uses a queue-based Flowise architecture:

Browser
  |
  v
Flowise Web UI :3000
  |
  v
Redis Queue
  |
  v
Flowise Worker
  |
  v
PostgreSQL

Flowise Web provides the public web UI and API. Redis handles queue communication between Flowise Web and Flowise Worker. Flowise Worker processes background jobs from the queue. PostgreSQL stores Flowise database records, while persistent storage keeps local Flowise files available across restarts and redeployments.

Public Web Access

Flowise Web provides the browser-based UI. After deployment, expose the Flowise Web service using Railway Public Networking and open the generated Railway domain or your custom domain in a browser.

Recommended public port:

3000

Once the Railway domain is active, visit the public URL in your browser and log in using the configured Flowise username and password. The default credentials are admin and admin123, unless changed in Railway Variables.

Persistent Storage

This template uses persistent storage across the main stateful services:

  • Flowise Web mounts a Railway Volume at /root/.flowise for local Flowise files, API key files, secret files, logs, and blob storage.
  • PostgreSQL uses its default persistent data path at /var/lib/postgresql/data.
  • Redis uses its default persistent data path at /data.
  • Flowise Worker is stateless and does not require a volume.

The Worker service processes queued jobs from Redis and uses the same PostgreSQL database as the Web service. For workloads that require shared uploaded files between Web and Worker, use external object storage.

SSH Usage

SSH is optional and mainly useful for diagnostics. Most users should access Flowise through the public web UI instead.

Prerequisites

Ensure you have the necessary setup in place:

  • The Railway CLI installed on your local machine
  • Logged in with your Railway account using:
railway login

Usage

You can copy the exact SSH command directly from the Railway dashboard:

  1. Navigate to your project in the Railway dashboard.
  2. Right-click on the Flowise Web or Flowise Worker service you want to inspect.
  3. Select Copy SSH Command from the dropdown menu.
  4. Paste the command into your local terminal to connect to the running container.

Once connected, you can inspect files, review logs, check mounted storage, verify environment variables, test Redis or PostgreSQL connectivity, or debug the running service.

Implementation Details

This template deploys Flowise as a multi-service Railway stack:

Flowise Web + Flowise Worker + Redis + PostgreSQL + Persistent Storage

Flowise Web runs the public dashboard and API. Flowise Worker runs separately and processes jobs from Redis. Both Flowise services use the same PostgreSQL database and the same encryption secret so credentials and stored data remain consistent across the stack.

The Flowise Web service should be exposed publicly on port 3000. The Flowise Worker service should remain private and does not need a public domain. Redis and PostgreSQL are internal supporting services used by Flowise Web and Flowise Worker.

This template includes default dashboard credentials so users can deploy quickly:

Username: admin
Password: admin123

Users can change both values by editing Railway Variables before deployment or after the services are running.

Why Deploy Flowise with Workers 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 Flowise with Workers 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.


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