Storia-AI/sage

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

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#55 aberto em 4 de out. de 2024

 (5 comentários) (0 reação) (1 responsável)Python (116 forks)auto 404
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Description

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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