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Letting an LLM Pick the Right RAG Page: The Arbiter Pattern at the End of Retrieval

Towards Data Science

The article introduces the 'Arbiter Pattern' for Retrieval-Augmented Generation (RAG), where a single LLM call ranks candidate documents with explanations, outputting a typed object for auditability. This approach enhances transparency and defensibility in enterprise document intelligence by letting the LLM select the most relevant page at the end of retrieval.

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