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https://issues.apache.org/jira/browse/SOLR-16952?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17779322#comment-17779322
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Qais Qadri commented on SOLR-16952:
-----------------------------------

Sure [~abenedetti], 
The field defined as solr.DenseVectorField is expected to store an array of 
floats, right? And this worked right in case of a single shard collection 
meaning it indeed stored and returned array of floats. But in a multishard 
collection, the field returns back an array of strings instead of array of 
floats. I have attached a screenshot previously where the field name _vector_ 
has value as array of strings instead of array of floats when original data 
that was indexed had list of floats, but If I create a collection with only one 
shard and index same data, it is correctly stored as array of floats. This 
causes the query on the field in multishard also return incorrect results.

> solr.DenseVectorField does not work on a collection with more than 1 shards
> ---------------------------------------------------------------------------
>
>                 Key: SOLR-16952
>                 URL: https://issues.apache.org/jira/browse/SOLR-16952
>             Project: Solr
>          Issue Type: Bug
>          Components: multicore
>    Affects Versions: 9.0, 9.1, 9.2, 9.1.1, 9.3, 9.2.1
>         Environment: environment check on:
> Ubuntu 20.04
> java 11 and java 17
>            Reporter: Qais Qadri
>            Priority: Critical
>         Attachments: Screenshot from 2023-08-22 15-32-48.png
>
>
> the field type solr.DenseVectorField introduced in solr 9.0 works well with 
> single core user managed and single shard collection in solr cloud way, but 
> in any multi shard collection it stores data as list of strings instead of 
> list of floats and running query on top of it also fails to provide correct 
> results.
>  
> attaching screenshot, the field name is vector, which is defined as 
> <fieldType name="knn_vector" class="solr.DenseVectorField" 
> vectorDimension="512" similarityFunction="cosine"/>
> {color:#000080}
> {color}
> <field name="vector" type="knn_vector" indexed="true" stored="true"/>



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