Docker Compose Generator for Local AI

What the Docker Compose Generator for Local AI — Free Online Tool does

The Docker Compose Generator for Local AI helps assemble a docker-compose file for a self-hosted AI stack, including an inference server such as Ollama or LocalAI and a vector store such as Chroma or Qdrant. It is aimed at developers who want a reproducible local environment without hand-writing every service definition. The page explains the components and settings to include. Review ports, volumes and GPU access before running anything, then keep the file in version control.

How to use it

1. Open the Docker Compose Generator for Local AI.
2. Choose the services your stack needs, such as an inference server and a vector store.
3. Generate the compose file.
4. Review ports, volumes and GPU settings for your machine.
5. Run docker compose up, verify each service, and store the file in version control.

FAQ

Which components can I include?

The page covers common self-hosted options: Ollama or LocalAI for inference, and Chroma or Qdrant as a vector store. You can combine them in one compose file so the stack starts and stops together.

Do I need a GPU?

No. Small models run on CPU, just more slowly. A GPU improves throughput and lets you run larger models, and the compose file should expose GPU access when your runtime supports it.

Can I mix local and hosted models?

Yes. A common pattern keeps sensitive work local and sends overflow or larger-context requests to an API such as Plugsky's OpenAI-compatible endpoint, which serves 30+ models. The free plan includes 2 free models.

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Canonical pricing and plans: plugsky.com/#sec-pricing · Terms · SLA · Docs

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