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https://issues.apache.org/jira/browse/PHOENIX-7998?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18119536#comment-18119536
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Andrew Kyle Purtell edited comment on PHOENIX-7998 at 9/25/26 8:26 PM:
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The PR description contains a detailed reviewer's guide:
https://github.com/apache/phoenix/pull/2624
was (Author: apurtell):
The PR contains an extensive reviewer's guide:
https://github.com/apache/phoenix/pull/2624
> Vector Indexes
> --------------
>
> Key: PHOENIX-7998
> URL: https://issues.apache.org/jira/browse/PHOENIX-7998
> Project: Phoenix
> Issue Type: New Feature
> Components: core
> Reporter: Andrew Kyle Purtell
> Assignee: Andrew Kyle Purtell
> Priority: Major
>
> Vector similarity search uses mathematical embeddings to identify records by
> semantic meaning and conceptual proximity rather than exact keyword matches.
> In a hybrid document database like Apache Phoenix, native vector search
> allows applications to execute unified queries that combine AI-driven
> semantic retrieval with relational filters and nested BSON document
> predicates. This eliminates the operational overhead, data replication, and
> synchronization lag of maintaining external vector databases while leveraging
> Phoenix's existing scale-out query parallelism.
> This design integrates native vector similarity search into Apache Phoenix
> across relational columns and BSON documents using fixed-dimension vector
> types, typed path extraction expressions, and standard SQL distance
> functions. Exact search pushes distance evaluation and bounded candidate
> heaps down to RegionServers for distributed top-N execution, while
> approximate retrieval maps Inverted File centroid posting lists into
> contiguous global index ranges traversed via multi-range skip scans.
> Server-side coprocessors maintain centroid assignments and verified-write
> consistency across relational mutations and atomic BSON updates, background
> compactions observe centroid drift to trigger asynchronous rebuilds, and the
> optimizer balances exact evaluation, covered index scanning, and adaptive
> probing within an extensible architecture.
> Design Document:
> https://docs.google.com/document/d/139E87IC2b6UG5T0UaxOK64qAjPt2u-ePB7DirWDm3v0/edit?tab=t.0
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