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https://issues.apache.org/jira/browse/LUCENE-9322?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17091684#comment-17091684
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Mayya Sharipova commented on LUCENE-9322:
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> It is implemented by enum with {{distance()}} function. Also, I think it
>would be good to persist (in the codec) which distance metric we use for the
>field.
May be for now, it is worth to keep the API simple and use euclidean distance.
Both ann approaches we would like to pursue: HNSW and Clustering based approach
use euclidean distance.
> Discussing a unified vectors format API
> ---------------------------------------
>
> Key: LUCENE-9322
> URL: https://issues.apache.org/jira/browse/LUCENE-9322
> Project: Lucene - Core
> Issue Type: New Feature
> Reporter: Julie Tibshirani
> Priority: Major
>
> Two different approximate nearest neighbor approaches are currently being
> developed, one based on HNSW ([#LUCENE-9004]) and another based on coarse
> quantization ([#LUCENE-9136]). Each prototype proposes to add a new format to
> handle vectors. In LUCENE-9136 we discussed the possibility of a unified API
> that could support both approaches. The two ANN strategies give different
> trade-offs in terms of speed, memory, and complexity, and it’s likely that
> we’ll want to support both. Vector search is also an active research area,
> and it would be great to be able to prototype and incorporate new approaches
> without introducing more formats.
> To me it seems like a good time to begin discussing a unified API. The
> prototype for coarse quantization
> ([https://github.com/apache/lucene-solr/pull/1314]) could be ready to commit
> soon (this depends on everyone's feedback of course). The approach is simple
> and shows solid search performance, as seen
> [here|https://github.com/apache/lucene-solr/pull/1314#issuecomment-608645326].
> I think this API discussion is an important step in moving that
> implementation forward.
> The goals of the API would be
> # Support for storing and retrieving individual float vectors.
> # Support for approximate nearest neighbor search -- given a query vector,
> return the indexed vectors that are closest to it.
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