> ## Documentation Index
> Fetch the complete documentation index at: https://docs.levelrail.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Self-host Ollama + Open WebUI with Docker

> A local LLM runtime paired with a ChatGPT-style web interface, for running open models on your own hardware.

A local LLM runtime paired with a ChatGPT-style web interface, for running open models on your own hardware.

This page describes the Levelrail template for Ollama + Open WebUI (AI). It deploys the services below as one Docker Compose app on your own server. Project site: [https://docs.openwebui.com/](https://docs.openwebui.com/).

Recommended memory: about 2048 MiB.

## Services, ports and volumes

| Service | Image | Container ports | Volumes |
| - | - | - | - |
| `ollama-api` | `ollama/ollama:latest` | none | `ollama_data -> /root/.ollama` |
| `open-webui` | `ghcr.io/open-webui/open-webui:main` | 8080 | `open_webui_data -> /app/backend/data` |

## Environment variables

| Service | Variable | Value |
| - | - | - |
| `open-webui` | `OLLAMA_BASE_URL` | Preset in the template |

Passwords and keys marked as generated are created for you when the app is deployed and stored as secrets. Values are not shown here.

## Deploy Ollama + Open WebUI with Levelrail

In the dashboard, open **Apps**, choose **New app**, then **Browse templates**, and select Ollama + Open WebUI. Review the Compose body and deploy.

With the CLI:

```bash theme={"dark"}
levelrail-cli templates deploy ollama-open-webui --name my-ollama-open-webui
```

See the [service template catalog](/templates-and-registry) for how templates work, and [Getting started](/getting-started) if you have not installed Levelrail yet.

## More AI templates

* [AnythingLLM](/self-host/anythingllm)
* [ComfyUI](/self-host/comfyui)
* [Flowise](/self-host/flowise)
* [Flowise (Postgres + Qdrant)](/self-host/flowise-postgres)
* [Jupyter GPU Notebook](/self-host/jupyter-gpu)

All templates are listed in the [self-host gallery](/self-host).


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