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Median based TopK for sparse vectors scoring #4037
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agourlay
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Nice!
Hoping that qdrant/vector-db-benchmark#114 will be merged today. So we see a bump in CI benchmarks too =) |
agourlay
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Apr 16, 2024
@@ -123,7 +123,7 @@ fn compare_sparse_vectors_search_with_without_filter(full_scan_threshold: usize) | |||
.filter(|s| s.score != 0.0) | |||
.zip(no_filter_result.iter().filter(|s| s.score != 0.0)) | |||
{ | |||
assert_eq!(filter_result, no_filter_result); | |||
assert_eq!(filter_result.score, no_filter_result.score); |
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getting assertion error due to different ids on equal score
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timvisee
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* Median based TopK for sparse vectors scoring * add test with identical scores
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Experiment median TopK based on the article from the nice folks at Quickwit https://quickwit.io/blog/top-k-complexity.
Performance
Criterion
End to end
Running https://github.com/qdrant/sparse-vectors-benchmark with full dataset
Validation
Concerns
We might want to constraint the
limit
argument in search to avoid having someone reserving a huge amount of memory?