gaoj0017 commented on PR #14078:
URL: https://github.com/apache/lucene/pull/14078#issuecomment-2692580673

   Thank you for acknowledging that our extended RaBitQ method proposes the 
idea of exploring different scalar quantization parameters on a per-vector 
basis for the first time and OSQ adopts this idea. OSQ differs from extended 
RaBitQ (which is a prior art before OSQ) in the detailed way of trying 
different parameters. Good to know that Elastic will provide a reference to our 
extended RaBitQ method in the code. We hope that proper acknowledgement of 
extended RaBitQ’s contribution of exploring different scalar quantization 
parameters on a per-vector basis will be provided when introducing OSQ in other 
channels (e.g., tweets, blogs and press releases) as well. 
   
   We welcome benchmarks of comparing our extended RaBitQ and OSQ by Elastic 
and other parties. These will help to see whether the changes made by OSQ on 
extended RaBitQ would bring true improvement on the space-accuracy trade-off. 
We hope that the comparison will be objective, comprehensive, and insightful. 
   
   For the community’s information, our codes of extended RaBitQ are fully 
open-source (https://github.com/VectorDB-NTU/Extended-RaBitQ). We will be happy 
to see that the community and industry teams will use the algorithms and even 
improve them further. 
   


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