vigyasharma commented on issue #12313:
URL: https://github.com/apache/lucene/issues/12313#issuecomment-2045706297

   @benwtrent : ++, I've been thinking on similar lines in the context of 
e-commerce type applications where different vectors represent different 
aspects of a document. The scorer can do a weighted dot-product across 
different vectors.
   
   I like the wider generalization here, of using max/min/sum/... aggregations. 
Another thing to consider is that the multi-vector scorer will also need to 
handle similarity computations between nodes during graph build. For e.g. if 
the aggregation is `max`, would we need to compute  distance between `n x n` 
vectors and then take the max?
   


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