---
title: "Deploy Flowise -  LLM Agent & RAG Builder [Updated Jun'26]"
description: "Self-hosted drag-and-drop builder for LLM agents and RAG pipelines."
category: "AI/ML"
url: https://railway.com/deploy/flowise-llm-agent-and-rag-builder
---

# Deploy Flowise -  LLM Agent & RAG Builder [Updated Jun'26]

Self-hosted drag-and-drop builder for LLM agents and RAG pipelines.

**[Deploy Flowise -  LLM Agent & RAG Builder [Updated Jun'26] on Railway](https://railway.com/template/flowise-llm-agent-and-rag-builder)**

- **Creator:** Tasha
- **Category:** AI/ML
- **Total deploys:** 3

## Template content

### flowise-railway-template

- **Source:** Amritasha/flowise-railway-template
- **Public domain:** Yes

## Documentation

# Deploy and Host Flowise - LLM Agent & RAG Builder on Railway

**Flowise** is an open-source **drag-and-drop UI for building LLM-powered agents, RAG pipelines, and AI workflows** — no coding required. Connect **OpenAI**, **Anthropic**, **Ollama**, and 100+ integrations visually. A self-hosted alternative to **Zapier AI** and **Stack AI**, saving teams $50–200/month.

## About Hosting Flowise - LLM Agent & RAG Builder on Railway

Flowise runs as a single container with embedded SQLite — no external database required. This Railway template provisions everything automatically with a **persistent volume** at `/root/.flowise` that stores all flows, credentials, API keys, and uploads across restarts and redeployments. For larger teams, PostgreSQL and Redis can be added. Railway charges ~$5–10/month flat based on compute — no per-run fees, no operation limits, no per-seat pricing.

| Platform | Flowise on Railway | Competitor |
|----------|-------------------|------------|
| Zapier AI | ~$5–10/month, no run limits | $19–69/month + per-task charges |
| Make.com | ~$5–10/month, unlimited ops | $9–29/month with strict caps |
| Stack AI | ~$5–10/month, open-source | $49–199/month, closed SaaS |
| Relevance AI | ~$5–10/month, any LLM | $19–199/month |

## Common Use Cases for Self-Hosted Flowise

- **Building RAG chatbots** over your own documents, PDFs, or databases
- **Automating internal workflows with LLM agents** — research, summarization, email triage
- **Creating no-code AI API endpoints** to power SaaS products or internal tools
- **Prototyping LLM chains** before handing off to engineering
- **Running local AI workflows with Ollama** — no OpenAI costs, full privacy

## Dependencies for Flowise — LLM Agent & RAG Builder Hosting

- Docker — runs the official `flowiseai/flowise` image
- Persistent Volume — Railway volume at `/root/.flowise` stores all data

### Deployment Dependencies

- [Flowise GitHub](https://github.com/FlowiseAI/Flowise)
- [Flowise Documentation](https://docs.flowiseai.com)
- [Flowise Docker Hub](https://hub.docker.com/r/flowiseai/flowise)
- [Railway Documentation](https://docs.railway.com)

### Implementation Details

Key environment variables: `PORT=3000`, `DATABASE_PATH=/root/.flowise`, `FLOWISE_USERNAME`, `FLOWISE_PASSWORD`. All paths are pre-configured to the persistent volume. `NUMBER_OF_PROXIES=1` ensures correct IP handling behind Railway's reverse proxy.

## Why Deploy Flowise — LLM Agent & RAG Builder 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 — LLM Agent & RAG Builder 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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- [Hermes Agent | OpenClaw Alternative with Dashboard](https://railway.com/deploy/hermes-agent-or-openclaw-alternative-wit) — Self-Hosted Hermes AI Agent for Telegram, Discord & Slack

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