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Generative AI

What is RAG?

Retrieval-augmented generation supplies selected documents to a model before it answers.

✳ Beginner◷ 5–10 min + practiceTEXT-BASED LEARNING

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02 · See it in action

Follow the steps

  1. Select a few approved FAQ paragraphs and give each a source ID.
  2. Retrieve passages relevant to the question.
  3. Ask for an answer supported only by those passages, with source IDs.
  4. Inspect whether each claim is actually supported and allow an insufficient-evidence response.

Worked example

Context [FAQ-2]: Members can enrol in all published courses.
Question: Does membership include a job guarantee?
Expected: The supplied FAQ does not state a job guarantee.

Read the example once, then explain each part aloud in your own words. If it includes Python, you can understand the idea first and run the code later in a local Python environment. Code is shown as text; this page does not execute it.

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