FastAPI With LangChain and MongoDB

A tutorial by Carlos Barboza shows how to build an AI suggestion app with FastAPI, LangChain, and MongoDB.

The backend stores data in MongoDB and uses LangChain to connect an LLM such as Ollama’s llama3.2 for recommendations.

It includes a working local setup with Docker and Ollama, making the stack easy to run and test.

The guide offers a practical pattern for building AI-powered Python backend apps, with MongoDB Atlas as an option.