mayya-sharipova commented on PR #12794:
URL: https://github.com/apache/lucene/pull/12794#issuecomment-1824736252

   @vigyasharma Answering other questions:
   
   > We seem to consistently see an improvement in recall between single 
segment, and multi-segment runs (both seq and conc.) on baseline. Is this 
because with multiple segments, we get multiple entry points into the overall 
graph? Whereas in a single merged segment, we only have access to a sparser set 
of nodes in layer-1 while finding the single best entry point?
   
   Indeed, this is the correct observation. For multiple segments, we retrieve 
k results from each segment, and then merge k* num_of_segments results to get 
the best `k` results. As we are retrieving more results, we also get better 
recall than from the single segment. 
   
   
   
   
   


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