msokolov commented on PR #14226:
URL: https://github.com/apache/lucene/pull/14226#issuecomment-2678496890
I pushed a version that re-uses scores *and* limits per-leaf topK to global
topK. The former didn't make very much difference, but the latter change did
improve things quite a bit. Here are some numbers from cohere/768d:
### mainline
recall latency (ms) nDoc topK fanout maxConn beamWidth quantized
index s index docs/s num segments index size (MB) vec disk (MB) vec RAM
(MB)
0.954 12.919 500000 50 0 64 250 no
13786 0.00 Infinity 8 1501.70 1464.844
1464.844
0.981 18.488 500000 50 50 64 250 no
20371 0.00 Infinity 8 1501.70 1464.844
1464.844
0.989 22.948 500000 50 100 64 250 no
24963 0.00 Infinity 8 1501.70 1464.844
1464.844
### wih reused scores *and* limiting perLeafK <= K
Results:
recall latency (ms) nDoc topK fanout maxConn beamWidth quantized
visited index s index docs/s num segments index size (MB) vec disk (MB)
vec RAM (MB)
0.959 11.375 500000 50 0 64 250 no
12086 308.23 1622.15 8 1501.70 1464.844
1464.844
0.979 14.926 500000 50 50 64 250 no
16724 0.00 Infinity 8 1501.70 1464.844
1464.844
0.987 17.858 500000 50 100 64 250 no
20277 0.00 Infinity 8 1501.70 1464.844
1464.844
it would be awesome if you could produce similar comparisons for this
version, @dungba88 !
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