This repository has been made in relation to a presentation of mine, which I held for Lumos Student Data Consulting. The presentation was about Langgraph, a framework for building agentic AI applications.
This repository contains two folders. The folder "demo" showcases an example of a graph that shall work as an financial advisor. The second folder "tryit" contains a simple example of an graph with that works as an try-it-yourself notebook.
The demo folder is the contains the code for the demonstration that was performed during the presentation.The try_it_yourself folder contains a notebook with a graph that has been partially set up. You need to do some small coding tasks in order for the graph to run.
Open terminal:
git clone https://github.com/DataJakob/Langgraph-workshop-Lumos-SDC.git
Buy an openai API key. Create a file named ".env" in repo and add following info:
OPEN_API_KEY="my_key_value"
Create enviroment:
python -m venv myenv
Activate enviroment:
myenv\Scripts\activate
Install requirements:
pip install -r requirements.txt
Choose myenv as kernel in Jupyter notebook and run cells.