benwtrent commented on PR #14078: URL: https://github.com/apache/lucene/pull/14078#issuecomment-2555050252
@gaoj0017 Thank you for your feedback! Truly, y'all inspired us on improving scalar quantization. RaBitQ showed that it is possible to achieve 32x reduction while achieving high recall without product quantization. And, to my knowledge, we have attributed inspiration where the particulars of the algorithm were used. As for this change, it is not mathematically the same or derived from y'all's new or old paper. Indeed, your new paper is interesting and provides the same flexibility to various bit sizes and shows that it's possible. However, we haven’t tested it, nor implemented it. Here are some details about this implementation. https://www.elastic.co/search-labs/blog/scalar-quantization-optimization -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@lucene.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@lucene.apache.org For additional commands, e-mail: issues-h...@lucene.apache.org
