Deploy and Host Railway RAG Stack on Railway

Railway RAG Stack is a fully self-hosted Retrieval-Augmented Generation system powered by Ollama for local LLM inference, pgvector for semantic search, and a Bun REST API. Ingest documents, search by meaning, and chat with your data — no external AI APIs or usage fees required.

About Hosting Railway RAG Stack

Hosting a RAG system involves running a language model server, a vector database, and an API layer in coordination. Railway RAG Stack deploys Ollama to serve embedding and generation models locally, Postgres with pgvector as the vector store, and a Bun API that chunks documents, generates embeddings, and retrieves relevant context before generation. Ollama models are persisted to a Railway volume to avoid re-downloading on every deploy. The API waits for Ollama readiness and pulls required models automatically on first boot.

Common Use Cases

• Internal knowledge base chatbot (ingest company docs, answer employee questions)
• Customer-facing product documentation search and Q&A assistant
• Private document analysis with no data leaving your infrastructure

Dependencies for Railway RAG Stack Hosting

• Postgres with pgvector extension — vector store for document embeddings
• Ollama — local LLM inference for embeddings and generation
• Railway Volume at /root/.ollama — model persistence across deploys

Deployment Dependencies

• Ollama — local LLM runtime
• pgvector — Postgres vector similarity extension
• Hono — web framework for Bun

Implementation Details

# Ingest a document
curl -X POST https://your-app.railway.app/ingest \
  -H "Content-Type: application/json" \
  -d '{"title": "Docs", "content": "Railway is a deployment platform..."}'

# RAG chat
curl -X POST https://your-app.railway.app/chat \
  -H "Content-Type: application/json" \
  -d '{"message": "How do deployments work?"}'
# → {"response": "...", "sources": [{"title": "Docs", "similarity": 0.89}]}

Why Deploy Railway RAG Stack 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 Railway RAG Stack 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.