jmazanec15 commented on PR #14009: URL: https://github.com/apache/lucene/pull/14009#issuecomment-3000947753
> For hybrid search in OpenSearch/Elastic Search, I'm wondering if @jmazanec15 and @benwtrent have any input. I'm having a feeling that it's quite common to combine lexical + KNN matching into a single BooleanQuery. Not sure Im following the discussion completely. It is common to combine lexical and k-NN in a boolean query, but I think there is a lot of variety in what/how users are implementing hybrid search, so flexibility is great to have. Like @benwtrent mentioned, result computation for k-NN is done upfront, but queries can also be used to re-score after the initial phase via the [QueryRescorer](https://github.com/apache/lucene/blob/main/lucene/core/src/java/org/apache/lucene/search/QueryRescorer.java) (as @mikemccand mentioned awhile ago), so I dont think a separate rescorer is necessary. I also like the point around lazy iteration: "or atleast provide a scorer that iterates the kNN query results calculating the higher fidelity scores". For expensive re-scoring (I think multi-vector will be), this might be nice to have too for hybrid/boolean queries - I think this approach is take in [FloatVectorSimilarityQuery](https://github.com/apache/lucene/blob/main/lucene/core/src/java/org/apache/lucene/search/FloatVectorSimilarityQuery.java#L107). But, this can probably be taken for future consideration. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@lucene.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@lucene.apache.org For additional commands, e-mail: issues-h...@lucene.apache.org
