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https://issues.apache.org/jira/browse/SOLR-15880?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17477341#comment-17477341
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Joel Bernstein edited comment on SOLR-15880 at 1/17/22, 5:56 PM:
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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 shot 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. 


was (Author: joel.bernstein):
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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