Alessandro Benedetti created SOLR-15880:
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Summary: Introduce Support to K Nearest Neighbors Search
Key: SOLR-15880
URL: https://issues.apache.org/jira/browse/SOLR-15880
Project: Solr
Issue Type: New Feature
Security Level: Public (Default Security Level. Issues are Public)
Affects Versions: main (9.0)
Reporter: Alessandro Benedetti
Assignee: Alessandro Benedetti
This contribution introduces in Apache Solr the ability to run vector-based
searches using native Apache Lucene data structures optimized for approximate
nearest neighbours.
This is the first milestone in introducing Neural Search in Apache Solr.
More will come later.
It builds on top of https://issues.apache.org/jira/browse/LUCENE-9004 to
provide a:
- *Dense Vector Field* - At moment Single valued, supporting stored, indexed
- *Knn Query Parser* - simple query parser to run knn search on target vector
and field
The Dense Vector field only supports KNN searches (no range query, no field
queries, no existence queries...)
The Knn query parser can be used as query, filter query and rerank query.
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