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https://issues.apache.org/jira/browse/SOLR-17525?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17907395#comment-17907395
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Eric Pugh commented on SOLR-17525:
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I know this is a bit late, but I wonder if we could mark this new module as
"experimental" in any way? I suspect that as we start using it, we find lots
of ways to improve it/evolve it, and it would be nice to not have to worry
about back compat issues....
> Text to Vector Query Parser
> ---------------------------
>
> Key: SOLR-17525
> URL: https://issues.apache.org/jira/browse/SOLR-17525
> Project: Solr
> Issue Type: New Feature
> Security Level: Public(Default Security Level. Issues are Public)
> Components: query parsers
> Reporter: Alessandro Benedetti
> Priority: Major
> Labels: pull-request-available
> Time Spent: 21h 20m
> Remaining Estimate: 0h
>
> Scope of this issue is to introduce support for automatic text vectorisation
> in Apache Solr, directly in a query parser.
> 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 query parser will use such services to directly encode the
> query to a vector and then run vector search on a DenseVectorField.
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