Deploy and Host AnythingLLM with Ollama on Railway (No-DB Edition)

AnythingLLM with Ollama is a self-hosted AI stack that combines a powerful LLM orchestration layer (AnythingLLM) with a local model inference engine (Ollama). This setup allows you to run private AI assistants, chat with documents, build RAG pipelines, and deploy custom AI workflows without relying on external LLM APIs, external databases (like PostgreSQL), or caching layers (like Redis).

About Hosting AnythingLLM with Ollama

Hosting AnythingLLM with Ollama on Railway involves deploying two lightweight services: the AnythingLLM application as the main user interface/orchestration layer, and Ollama as the local model runtime engine.

Both services communicate securely over Railway’s private networking.

By default, AnythingLLM uses an internal, self-contained SQLite database to store workspaces, document embeddings, and configuration. To ensure your data persists across redeployments, you simply need to mount a Railway Volume to your AnythingLLM service.

Common Use Cases

Private AI Chatbot: Run local LLMs with absolute data privacy and zero external API dependencies.
Document Q&A System: Upload PDFs, notes, or entire knowledge bases for local context retrieval.
Internal Knowledge Assistant: Create a secure shared workspace for team coordination.
Lightweight RAG (Retrieval Augmented Generation): Build end-to-end RAG pipelines using internal vector processing.
No-Database Complexity: Ideal for simplified setups that do not require maintaining extra database clusters like PostgreSQL or Redis.

System Components

AnythingLLM: Web application, UI, and orchestration layer.
Ollama: LLM inference server running models like Llama 3, Mistral, or Phi-3.

Official references:

Why Deploy AnythingLLM with Ollama 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 complex container setup, while allowing you to vertically scale resources (CPU/RAM) as your LLM processing needs grow.

By deploying AnythingLLM with Ollama on Railway, you get a secure, private, and fully functional AI stack running 24/7 with minimal operational overhead.