mccullocht commented on issue #13251:
URL: https://github.com/apache/lucene/issues/13251#issuecomment-4328699540

   There was some discussion of this on 
https://github.com/apache/lucene/pull/15903 since the proposed format is data 
blind.
   * OSQ quantizes the residual against a mean vector computed from the input 
segment. You would want to break this dependency to discard the raw vectors at 
ingestion time and rotation might help cover some of the losses. I could also 
see discarding the raw vectors at some later point if we believe the mean isn't 
moving but that might be trickier than dropping them at ingestion.
   * A technique that OSQ doesn't implement but appears in one of the source 
papers (Intel LVQ) is quantizing the residual, e.g. for some vector `v` 
quantize `v - dequantize(quantize(v))` and use this for re-ranking.


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