mayya-sharipova commented on PR #872:
URL: https://github.com/apache/lucene/pull/872#issuecomment-1121144832

   @jtibshirani  Thanks for the comment. I've rerun the benchmarks as you 
suggested, and here are the new results
   
   ```txt
   
   k            Approach                                                  
Recall     QPS
   10           luceneknn dim=100 {'M': 32, 'efConstruction': 100}        0.571 
    1874.073
   50           luceneknn dim=100 {'M': 32, 'efConstruction': 100}        0.801 
     752.443
   100          luceneknn dim=100 {'M': 32, 'efConstruction': 100}        0.865 
     463.214
   500          luceneknn dim=100 {'M': 32, 'efConstruction': 100}        0.959 
     129.944
   800          luceneknn dim=100 {'M': 32, 'efConstruction': 100}        0.974 
      87.815
   1000         luceneknn dim=100 {'M': 32, 'efConstruction': 100}        0.980 
      73.514
   
   10           hnswlib ({'M': 32, 'efConstruction': 100})                0.552 
   16745.433
   50           hnswlib ({'M': 32, 'efConstruction': 100})                0.794 
    5738.468
   100          hnswlib ({'M': 32, 'efConstruction': 100})                0.860 
    3336.386
   500          hnswlib ({'M': 32, 'efConstruction': 100})                0.956 
     832.982
   800          hnswlib ({'M': 32, 'efConstruction': 100})                0.973 
     541.097
   1000         hnswlib ({'M': 32, 'efConstruction': 100})                0.979 
     442.163
   ```


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