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https://issues.apache.org/jira/browse/SOLR-17632?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17934200#comment-17934200
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Alessandro Benedetti commented on SOLR-17632:
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Done!
> Text to Vector Update Request Processor
> ---------------------------------------
>
> Key: SOLR-17632
> URL: https://issues.apache.org/jira/browse/SOLR-17632
> Project: Solr
> Issue Type: New Feature
> Components: UpdateRequestProcessors
> Reporter: Alessandro Benedetti
> Assignee: Alessandro Benedetti
> Priority: Major
> Labels: pull-request-available, vector-based-search
> Time Spent: 5h 50m
> Remaining Estimate: 0h
>
> Scope of this issue is to introduce support for automatic text vectorisation
> in Apache Solr, directly in a update request processor.
> A LLM fine-tuned for sentence similarity will be accessed to embed the text.
> Apache Solr will host the configuration parameters to access embedding
> services and the update request processor will use such services to directly
> encode the document field as a vector.
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