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https://issues.apache.org/jira/browse/SOLR-17319?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18046790#comment-18046790
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ASF subversion and git services commented on SOLR-17319:
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Commit 400cbb56cd3fc0eb384f7de944ccdf6b4699ea2d in solr's branch
refs/heads/branch_9x from Sonu Sharma
[ https://gitbox.apache.org/repos/asf?p=solr.git;h=400cbb56cd3 ]
SOLR-17319 : New Combined Query / hybrid search (RRF) (#3418)
New CombinedQuerySearchHandler etc. for implementing hybrid search with
reciprocal rank fusion (RRF).
See "JSON Combined Query DSL" in ref guide, and params prefixed with "combiner".
QueryComponent: refactorings to enable a subclass to customize merging shard
results.
---------
Co-authored-by: Sonu Sharma <[email protected]>
Co-authored-by: Christine Poerschke <[email protected]>
Co-authored-by: David Smiley <[email protected]>
(cherry picked from commit 42cd889e8f0ace7ace2002bef2c98566b772f0f5)
> Introduce support for Reciprocal Rank Fusion (combining queries)
> ----------------------------------------------------------------
>
> Key: SOLR-17319
> URL: https://issues.apache.org/jira/browse/SOLR-17319
> Project: Solr
> Issue Type: New Feature
> Components: vector-search
> Affects Versions: 9.6.1
> Reporter: Alessandro Benedetti
> Assignee: Alessandro Benedetti
> Priority: Major
> Labels: pull-request-available
> Time Spent: 35h 10m
> Remaining Estimate: 0h
>
> Reciprocal Rank Fusion (RRF) is an algorithm that takes in input multiple
> ranked lists to produce a unified result set.
> Examples of use cases where RRF can be used include hybrid search and
> multiple Knn vector queries executed concurrently.
> RRF is based on the concept of reciprocal rank, which is the inverse of the
> rank of a document in a ranked list of search results.
> The combination of search results happens taking into account the position of
> the items in the original rankings, and giving higher score to items that
> are ranked higher in multiple lists. RRF was introduced the first time by
> Cormack et al. in [1].
> The syntax proposed:
> JSON Request
> {code:json}
> {
> "queries": {
> "lexical1": {
> "lucene": {
> "query": "id:(10^=2 OR 2^=1 OR 4^=0.5)"
> }
> },
> "lexical2": {
> "lucene": {
> "query": "id:(2^=2 OR 4^=1 OR 3^=0.5)"
> }
> }
> },
> "limit": 10,
> "fields": "[id,score]",
> "params": {
> "combiner": true,
> "combiner.upTo": 5,
> "facet": true,
> "facet.field": "id",
> "facet.mincount": 1
> }
> }
> {code}
> [1] Cormack, Gordon V. et al. “Reciprocal rank fusion outperforms condorcet
> and individual rank learning methods.” Proceedings of the 32nd international
> ACM SIGIR conference on Research and development in information retrieval
> (2009)
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