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Retrieval-Augmented Generation

Retrieval-Augmented Generation (RAG) is a method of retrieving external data and then using that data as context to generate answers.

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Unlike the process of answering only with the model's knowledge, a search step is included. What materials you search for and how you select them will depend on your system and your questions. Retrieving data does not mean that everything in your answer will be accurate.

Site administrators can control search accessibility, factual accuracy, and the descriptions and sources required for questions. We also separately verify that the citations shown in the response actually support the claim.

There is no universal rule that a page will be selected as a retrieved source simply because it contains an answer block of a particular length or FAQ markup. Check the system's search method and support range and observe the results under the same conditions.

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