Introduction#
Running AI models locally gives you complete control over your data, eliminates API costs, and removes dependency on external services. This tutorial sets up a production-grade local AI stack using Docker Compose with Ollama for model serving, Open WebUI for a ChatGPT-like interface, ChromaDB for vector storage, and a Python FastAPI backend for custom integrations.
By the end, you will have a local environment suitable for prototyping RAG applications, testing models, and building AI-powered tools — all without sending data to the cloud.