You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@solr.apache.org by "Sonu Sharma (Jira)" <ji...@apache.org> on 2025/07/04 09:28:00 UTC
[jira] [Comment Edited] (SOLR-17319) Introduce support for Reciprocal Rank Fusion (combining queries)
[ https://issues.apache.org/jira/browse/SOLR-17319?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17995716#comment-17995716 ]
Sonu Sharma edited comment on SOLR-17319 at 7/4/25 9:27 AM:
------------------------------------------------------------
Hello folks,
This feature seems quite promising and unlocks many opportunities in future. In order to make it happen, I have created[ another PR|https://github.com/apache/solr/pull/3418] extending the idea of existing one. It also help resolve the issues being discussed w.r.t the [previous PR|https://github.com/apache/solr/pull/2489], mainly around across shard documents merging. It's a way forward towards ultimately enabling Hybrid Search in a pure way solving the shortcomings. Would appreciate your feedback & reviews towards a fruitful outcome.
was (Author: ercsonu):
Hello folks,
This feature seems quite promising and unlocks many opportunities in future. In order to make it happen, I have created another PR extending the idea of existing one. It also help resolve the issues being discussed w.r.t the [previous PR|https://github.com/apache/solr/pull/2489], mainly around across shard documents merging. It's a way forward towards ultimately enabling Hybrid Search in a pure way solving the shortcomings. Would appreciate your feedback & reviews towards a fruitful outcome.
> 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: query
> Affects Versions: 9.6.1
> Reporter: Alessandro Benedetti
> Assignee: Alessandro Benedetti
> Priority: Major
> Labels: pull-request-available
> Time Spent: 0.5h
> 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)
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@solr.apache.org
For additional commands, e-mail: issues-help@solr.apache.org