GenAI_Agents

Why we included this project

If you are trying to move past toy chatbots into real multi-agent work, this is one of the better places to start. It is not a framework you install, but a collection of 50+ Jupyter notebooks that walk through agent design step by step, from simple conversational loops up to LangGraph orchestration, retrieval-augmented generation, and agents that call tools. Each tutorial pairs the explanation with code you can actually run, which makes it easy to follow along and lift the patterns into your own stack. The ordering matters too: it starts simple and only later gets into memory, multi-agent coordination, and production concerns, so it works as a curriculum you can return to as your projects get more ambitious. Just know it is a teaching resource, not a deployable product, so treat it as a guided path and a source of working examples rather than something to ship directly.