# Hands-On AI Engineering

A curated collection of practical, complete AI project examples spanning OCR, retrieval-augmented generation, multi-agent systems and other AI use cases, with full code and setup instructions for each.

Hands-On AI Engineering is a curated collection of practical AI projects spanning language models, multimodal models, OCR systems, retrieval-augmented generation pipelines and AI agents. Each project includes complete code, setup instructions and documentation, and is intended to be adapted for real use rather than serving only as a demo.

Its AI Agents section alone includes examples such as a multi-agent research assistant that grades and stores its own findings over a shared vector-database memory, a multi-agent financial analyst, a financial assistant for stock-market analysis, an automated daily news digest curated from technology blogs, an agentic form-filling agent that combines layout parsing with multi-turn data gathering, a multi-agent travel planner, a competitive-intelligence agent that builds sales battlecards, and a self-reflective retrieval-augmented generation system built with LangGraph. Projects draw on multiple model providers, including OpenAI, Anthropic, Google and open-source models such as those served through Ollama.

It is a repository of Python projects, most presented as Jupyter notebooks.

Website: https://aiengineering.beehiiv.com