This repository contains everything needed to run a self-contained AI agents tutorial built using MongoDB, Gemini and LangGraph.
Slides accompanying this tutorial can be found here.
NOTE: In this tutorial, we will be using Jupyter Notebooks, which is an interactive Python environment. If you are new to Jupyter Notebooks, use this guide to familiarize yourself with the environment.
The easiest way to run this tutorial is GitHub Codespaces. A codespace is a cloud-hosted, containerized development environment that comes pre-configured with all the tools you need to run this tutorial.
To create a codespace, click the Code button on the repo's home page. Under the Codespaces tab, click Create a codespace on main. You will be prompted to sign into GitHub if you haven't already.
Let it run for a few seconds as it prepares your environment. It will clone the repository, prepare the container, and run the installation scripts. Once the environment is built, you should see a list of files appear under the Explorer.
In the left navigation bar of the IDE, click on the file named tutorial.ipynb to open the Jupyter Notebook for this tutorial.
Next, select the Python interpreter by clicking Select Kernel at the top right of the IDE.
In the modal that appears, click Python environments... and select the interpreter that is marked as Recommended or Global Env.
That's it! You're ready for the lab!