Sparse retrieval may beat dense-vector compression while keeping inverted-index search fast
IgorCarron · x · 2026-10-19
paulomouraj argues sparse retrieval can overcome dense-vector compression limits while staying efficient via inverted indexes. The team also trained a pruning-oriented variant so more vectors fit within a storage budget.
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