RAG

    The technique by which a model looks up sources before answering.

    What RAG means

    RAG, retrieval augmented generation, is the technique by which a language model looks up documents before writing an answer, instead of relying only on what it memorised during training. The system retrieves a small set of relevant texts, puts them in front of the model and asks it to answer from those. It is why a page can be cited the day after it is published.

    Why it matters in our work

    Knowing that a retrieval step sits behind the answer changes how a page is written: the passage that gets cited has to hold up pulled out of everything around it.

    From the definition to the plan

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