Storia-AI/sage

Feature request: Implement reciprocal rank fusion for combining multiple retriever outputs

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#55 建立於 2024年10月4日

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描述

Right now when we are combining the outputs of a bm25 encoder and a dense retriever we simply do a weighted average of their scores. It's more standard to use reciprocal rank fusion methods to combine multiple scores.

We should implement this alternative hybrid scoring method

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