Alessandro Benedetti created SOLR-17525:
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Summary: 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
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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