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https://issues.apache.org/jira/browse/SOLR-17525?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17907358#comment-17907358
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ASF subversion and git services commented on SOLR-17525:
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Commit e8803e6f707b4600cec1e7e70f1d52f895bae0a6 in solr's branch
refs/heads/main from Alessandro Benedetti
[ https://gitbox.apache.org/repos/asf?p=solr.git;h=e8803e6f707 ]
SOLR-17525: Text Embedder Query Parser (#2809)
* added support to store Large Language Models external endpoints config for
text to vector encoding
* added a query parser that can use such external models to encode text to
vector and run a KNearest Neighbour search
---------
Co-authored-by: Christine Poerschke <[email protected]>
Co-authored-by: Christos Malliaridis <[email protected]>
Co-authored-by: David Smiley <[email protected]>
> 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: 20.5h
> 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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