A colleague argues that nearest neighbor search is mean...

While the theoretical objection holds for random distributions, contrastive training creates clusters that make semantic search effective. You should acknowledge the limitations in cases like near-duplicate corpora or aggressive quantization, but use empirical metrics like the d100/d1 ratio per query slice to turn the theoretical debate into a measurable, actionable metric.