This is a fast and easy python notebook to understand how to implement RAG. It uses a chromadb and watsonx.ai, to output results directly in the notebook.
Create a virtual environment:
with conda, the command is - conda create --name yourenvname
Activate the virtual env - conda activate yourenvname
do a pip install -r requirements.txt with the environment active
You will need an IBM cloud account with access to watsonx.ai, and you'll need to grab credentials and put them into a .env file in the same directory as your notebook.
From your watsonx.ai project home page, go to the manage tab > general > the project ID will be listed under the details section.
Go to your IBM cloud account, and navigate to the IAM section under manage. Click on "API Keys" on the left-side, and generate an API key. Copy this key into your .env
Your ibm cloud region url.
If you need more help setting up credentials, check out the official IBM documentation
Execute the cells to see how it all works.