This example shows querying a PDF using llama index framework and running LLM on Nebius AI Studio

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Run the code

rag_pdf_query.ipynb

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First Option

Open with Google Colab (no setup required)

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Second Option

Run locally using uv (prefered): 
uv  sync
Run notebook: 
uv run --with jupyter jupyter lab rag_pdf_query.ipynb
Or run locally using pip: 
pip install -r requirements.txt

jupyter lab  rag_pdf_query.ipynb

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Dev Notes

How the uv project was created: 
uv init .
uv add -r requirements.txt
uv add --dev ipykernel   # for jupyter kernel
uv sync

# create a kernel to use uv env within vscode
source  .venv/bin/activate
uv run python -m ipykernel install --user --name=$(basename $(pwd)) --display-name "$(basename $(pwd))"