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Chapter 05

Retrieval-augmented generation (RAG)

The single most useful pattern in modern LLM applications: grounding a model in your own documents so it answers from what you gave it, not from what it might have memorised. Built up step by step and shipped as a working Q&A bot.

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In this chapter

Sections in this chapter

  1. I Section

    Grounding a model in your own documents

    0 / 2 exercises

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  2. II Section

    Building a RAG pipeline step by step

    0 / 2 exercises

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  3. III Section

    A question-answering bot for local content

    0 / 2 exercises

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