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How AI Answers Questions About Documents It Never Learned

1Why the Model Cannot Answer From Your Documents Alone2Chunking and Embedding: Turning Documents Into Something Searchable3Retrieval: Finding the Right Passages for a Question4Grounded Generation: Answering From the Retrieved Text
Grounded Generation: Answering From the Retrieved Text

When the Documents Do Not Have the Answer

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But retrieval does not always bring back the answer. Sometimes the closest chunks are related to the question without actually containing it.
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Retrieval can return chunks that are related to the question without containing the answer. In that case the grounded system should report that the answer was not found in the provided documents. Refusing is the correct outcome, because the alternative is a confident answer assembled from the model's own memory, which is exactly the failure that grounding is meant to prevent.

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