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michal382
8 months ago
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When combining the retrieval results of the bm25 retriever and a dense retriever is there a way to scale the scores from the bm25 within 0-1 so that they can be compared with cosine similarity scores from the dense retriever?
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Logan M
8 months ago
Yea there's a few ways of doing it.
Check out this blog for a starting point
https://weaviate.io/blog/hybrid-search-fusion-algorithms
We have this built into the query fusion retriever
https://docs.llamaindex.ai/en/stable/examples/retrievers/relative_score_dist_fusion/?h=fusion
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michal382
8 months ago
thanks will take a look!
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