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RAG Mini Bootcamp

In this pilot course, you'll build a Naive RAG-based question-answer agent that supports the following HTML documents:

Understanding Naive RAG architecture is the first step towards understanding more advanced architectures and techniques appropriate for production settings.

Repo Structure

.
├── query_qa_rag_agent.ipynb    # The end result you want
├── 1 dev machine setup.ipynb   # Start here
├── 2 indexer.ipynb # Tutorial 2
├── 3 retriever.ipynb # Tutorial 3
├── 4 generator.ipynb # Tutorial 4
├── 5 summary.ipynb # Tutorial 5
├── LICENSE
├── README.md
├── cheat_code # Completed version of the workshop tutorial code
├── requirements.txt
└── workshop_code # Code that you'll edit for the tutorials

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  • Jupyter Notebook 82.4%
  • Python 17.6%