gsmiller commented on PR #13463:
URL: https://github.com/apache/lucene/pull/13463#issuecomment-2159506702

   Thanks @benwtrent. As another data point, I ran `knnPerfTest` with the 
vectors that `luceneutil` downloads as part of `setup.py` 
(`enwiki-20120502-lines-1k-100d.vec` / `vector-task-100d.vec`) with the "stock" 
parameters in `knnPerfTest`. I didn't tweak the write buffer at all. Was just 
getting setup to run performance tests. I'll see if I can reproduce the results 
you're seeing with Cohere next. In the meantime, this is what I saw with the 
"stock" data:
   
   ```
   BASELINE
   recall  latency nDoc    fanout  maxConn beamWidth       visited index ms
   0.897    0.19   10000   0       64      250     718     2466    1.00    
post-filter
   0.820    0.29   100000  0       64      250     1023    37118   1.00    
post-filter
   0.801    0.43   200000  0       64      250     1139    94993   1.00    
post-filter
   
   CANDIDATE
   recall  latency nDoc    fanout  maxConn beamWidth       visited index ms
   0.897    0.19   10000   0       64      250     718     2462    1.00    
post-filter
   0.820    0.29   100000  0       64      250     1023    36852   1.00    
post-filter
   0.801    0.36   200000  0       64      250     1139    94398   1.00    
post-filter
   ```


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