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Posted to issues@solr.apache.org by "Joel Bernstein (Jira)" <ji...@apache.org> on 2022/01/17 17:56:00 UTC
[jira] [Commented] (SOLR-15880) Introduce Support to K Nearest Neighbors Search
[ https://issues.apache.org/jira/browse/SOLR-15880?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17477341#comment-17477341 ]
Joel Bernstein commented on SOLR-15880:
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I started testing the branch this morning. So far it looks great. Very easy to use. One thing that we'll probably want to do is add the vector field and a dynamic field type to the _default schema.
I've attached a screen shpt !Screen Shot 2022-01-17 at 12.49.52 PM.png! of my first query.
Next steps I'm going to load 1 million rows and check the performance. Then I'll scale up from there I'll report back on my findings.
> Introduce Support to K Nearest Neighbors Search
> -----------------------------------------------
>
> Key: SOLR-15880
> URL: https://issues.apache.org/jira/browse/SOLR-15880
> Project: Solr
> Issue Type: New Feature
> Security Level: Public(Default Security Level. Issues are Public)
> Affects Versions: 9.0
> Reporter: Alessandro Benedetti
> Assignee: Alessandro Benedetti
> Priority: Major
> Attachments: Screen Shot 2022-01-17 at 12.49.52 PM.png
>
> Time Spent: 4h 40m
> Remaining Estimate: 0h
>
> This contribution introduces in Apache Solr the ability to run vector-based searches using native Apache Lucene data structures optimized for approximate nearest neighbours.
> This is the first milestone in introducing Neural Search in Apache Solr.
> More will come later.
> It builds on top of https://issues.apache.org/jira/browse/LUCENE-9004 to provide a:
> - *Dense Vector Field* - At moment Single valued, supporting stored, indexed
> - *Knn Query Parser* - simple query parser to run knn search on target vector and field
> The Dense Vector field only supports KNN searches (no range query, no field queries, no existence queries...)
> The Knn query parser can be used as query, filter query and rerank query.
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