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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