marianotepper commented on issue #14681: URL: https://github.com/apache/lucene/issues/14681#issuecomment-3005795711
> What are the improvements there? Is it adjusting the IO patterns for scoring or is it because rescoring utilizes LVQ? (e.g. scalar quantization centered on a centroid...which is a simpler version of the OptimizedScalarQuantizer in Lucene right now) We are using NVQ, a non-uniform vector quantizer that introduces nonlinear quantization and uses subvectors (divide each vector in chunks). It is somewhat similar in spirit to the OptimizedScalarQuantizer but instead of using a piecewise linear scheme to achieve a nonlinearity, it uses a nonlinearity directly. A paper describing the approach is coming soon. -- 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
