Minimal private AI chat: Ollama and Open WebUI

The simplest stack for a private AI chat: Ollama and Open WebUI with docker-compose, interface on port 3000.

Access Medium

• — Read files or data : No
• ✓ Modify or delete files
• ✓ Send data over the internet
• — Run commands on the machine : No

Services

• Ollama: runs the model
• Open WebUI: chat interface

Ports : 3000 (interface)

1. docker compose up -d 2. docker compose exec ollama ollama pull llama3.1 3. Open http://localhost:3000 and create the admin account.

docker-compose.yml

services:
  ollama:
    image: ollama/ollama
    volumes:
      - ollama:/root/.ollama

  open-webui:
    image: ghcr.io/open-webui/open-webui:main
    depends_on: [ollama]
    environment:
      - OLLAMA_BASE_URL=http://ollama:11434
    volumes:
      - open-webui:/app/backend/data
    ports:
      - "3000:8080"

volumes:
  ollama:
  open-webui:

Estimated cost

Input tokens per call : ≈ 270

Input cost only, excluding the model's answer. Providers' public standard prices (Mistral AI, DeepSeek, OpenAI, Anthropic) converted from USD to euros at the ECB rate of September 29, 2026. Estimate: 1 token ≈ 3.6 characters.

Identifier

contextetech--minimal-private-ai-chat

Type

Stacks

File

docker-compose.yml

Format

YML

Size

349 bytes

Encoding

UTF-8

Estimated tokens

≈ 97

Language

English

License

MIT

Commercial use

Allowed

Personal data

None

Version

1.0

Published on

October 2, 2026 at 9:54 PM

Updated on

October 2, 2026 at 9:54 PM

Storage

in database

Uses

0

Likes

0

docker-compose.yml

services:
  ollama:
    image: ollama/ollama
    volumes:
      - ollama:/root/.ollama

  open-webui:
    image: ghcr.io/open-webui/open-webui:main
    depends_on: [ollama]
    environment:
      - OLLAMA_BASE_URL=http://ollama:11434
    volumes:
      - open-webui:/app/backend/data
    ports:
      - "3000:8080"

volumes:
  ollama:
  open-webui:

Launch

# enregistrez docker-compose.yml, puis :
docker compose up -d
docker compose ps