Preparation of the session

To prepare this session, create a new python environment as explained below. It may furthermore be handy to download the contents of the repository for the exercises:

git clone https://github.com/scaDS/rag-2026
cd rag-2026

uv

If you prefer using uv, you can setup the environment like this (from within the root folder rag-2026):

uv sync

You can then explore the notebooks using:

uv run jupyter lab

Conda

If you prefer using conda, it is recommended to setup a new environmment with Python 3.12 like this:

conda create --name rag26 python=3.12

You can then activate this environment like this:

conda activate rag26

And install all requirements

pip install llama-index llama-index-llms-openai-like openai jupyterlab voila pandas stackview vision-embedding-space-travelling llama-index-llms-ollama llama-index-llms-openai-like llama-index-embeddings-huggingface transformers scikit-learn umap-learn kagglehub python-dotenv

You can then explore the notebooks using:

jupyter lab