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[VDB] recall is not meaningful because the dataset is uniformly random vectors #625

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@ByoungjunSeo

recall is computed over uniformly random vectors, so the values come out too low to be meaningful (random high-dimensional vectors have no real neighbor structure). We understand from WG discussion that this is a recognized tension (realistic data vs. its CPU/memory cost), and that #489 only added a guard for empty / under-covered ground truth without changing data realism. Filing/commenting mainly to confirm current status and whether any change is planned for v3.0. (If a discussion already tracks this, please point us to it and we'll move the comment there.)

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