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https://issues.apache.org/jira/browse/SOLR-18267?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18119612#comment-18119612
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ASF subversion and git services commented on SOLR-18267:
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Commit 191684a6641f2dfa439810826c152b3c5b34824d in solr's branch
refs/heads/branch_10x from Adam Quigley
[ https://gitbox.apache.org/repos/asf?p=solr.git;h=191684a6641 ]
SOLR-18267: Add scalar quantized flat vector index support with no HNSW (#4698)
(cherry picked from commit 64feac04c7d896ef2052f46b5cf362f4f5b3c004)
> Skip HSNW graph construction for exact vector search
> ----------------------------------------------------
>
> Key: SOLR-18267
> URL: https://issues.apache.org/jira/browse/SOLR-18267
> Project: Solr
> Issue Type: New Feature
> Components: vector-search
> Reporter: Alessandro Benedetti
> Assignee: Alessandro Benedetti
> Priority: Minor
> Labels: pull-request-available, vector-based-search
> Time Spent: 4h 40m
> Remaining Estimate: 0h
>
> The idea we are exploring is not building the HNSW graph in the case of a
> highly selective filter search use case, and performing brute force KNN
> comparison as a post-filter.
> The goal behind the feature is to not pay the cost of HNSW building during
> ingestion when ANN search isn't used.
>
> A collaborator of ours already created a proof-of-concept on a branch of
> upstream Solr that adds knnAlgorithm="flat" to DenseVectorField using
> Lucene99FlatVectorsFormat. This stores vectors in the index (.vec/.vemf
> files) without building the HNSW graph (.vex/.vem files).
>
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