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Posted to issues@solr.apache.org by "Alessandro Benedetti (Jira)" <ji...@apache.org> on 2021/12/24 10:25:00 UTC

[jira] [Created] (SOLR-15880) Introduce Support to K Nearest Neighbors Search

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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