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https://issues.apache.org/jira/browse/SOLR-16827?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joel Bernstein updated SOLR-16827:
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Description:
When combining an unbounded Lucene / Solr score with a vector score its
difficult or impossible to balance the two components by simply adjusting the
weight of the rerank score.
This ticket will add two features to the ReRanker to support the hybrid ranking
function:
*Min/Max scaling:* The min/max scaling will be applied to the scores of all the
topDocs prior to combining with the rerank score.
*RRF:* Reciprical rank fusion which is described here in this blog:
https://weaviate.io/blog/hybrid-search-explained
was:
When combining an unbounded Lucene / Solr score with a vector score its
difficult or impossible to balance the two components by simply adjusting the
weight of the rerank score.
This ticket will add two features to the ReRanker to support the hybrid ranking
function:
*Min/Max scaling:* The min/max scaling will be applied to the scores of all the
topDocs prior to combining with the rerank score.
*RRF: *Reciprical rank fusion which is described here in this blog:
https://weaviate.io/blog/hybrid-search-explained
> Add min/max scale and RRF capability to the reranker
> ----------------------------------------------------
>
> Key: SOLR-16827
> URL: https://issues.apache.org/jira/browse/SOLR-16827
> Project: Solr
> Issue Type: Improvement
> Security Level: Public(Default Security Level. Issues are Public)
> Reporter: Joel Bernstein
> Assignee: Joel Bernstein
> Priority: Major
> Labels: hybrid-search
>
> When combining an unbounded Lucene / Solr score with a vector score its
> difficult or impossible to balance the two components by simply adjusting the
> weight of the rerank score.
> This ticket will add two features to the ReRanker to support the hybrid
> ranking function:
> *Min/Max scaling:* The min/max scaling will be applied to the scores of all
> the topDocs prior to combining with the rerank score.
> *RRF:* Reciprical rank fusion which is described here in this blog:
> https://weaviate.io/blog/hybrid-search-explained
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