> ## 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 Open WebUI with Docker

> A self-hosted chat interface for running local large language models through Ollama.

A self-hosted chat interface for running local large language models through Ollama.

This page describes the Levelrail template for 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 1024 MiB.

## Services, ports and volumes

| Service | Image | Container ports | Volumes |
| - | - | - | - |
| `ollama` | `ollama/ollama:0.33.3` | none | `ollama_data -> /root/.ollama` |
| `open-webui` | `ghcr.io/open-webui/open-webui:0.11.3` | 8080 | `openwebui_data -> /app/backend/data` |

## Environment variables

| Service | Variable | Value |
| - | - | - |
| `open-webui` | `OLLAMA_BASE_URL` | Preset in the template |
| `open-webui` | `WEBUI_SECRET_KEY` | Generated at deploy |

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 Open WebUI with Levelrail

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

With the CLI:

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