Simple introduction to retrieval-augmented generation (RAG) with
Economy & Business

Notebook content: This notebook contains the steps and code to demonstrate the retrieval-augmented generation pattern in IBM Some familiarity with Python is helpful. This notebook uses Python 3.10.
Learning goal: The goal of this notebook is to demonstrate how to apply the retrieval-augmented generation pattern to a question-answering use case in
Scenario: The website for an online seed catalog has many articles to help customers plan their garden and ultimately select which seeds to purchase. A new widget is being added to the website to answer customer questions based on the contents of the articles.

IBM Analytics
Oct 30, 2023
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