WonderSearch 1.1 claims #1 on all 7 sparse retrieval benchmarks, no vector DB needed
Scobleizer · x · 2026-10-07
WonderSearch launched v1.1, claiming #1 on all 7 sparse retrieval benchmarks, beating BM25, SPLADE, and ELSER v2, plus leading on SciFact, Touché-2020, and DBPedia. The biggest shift is architectural: retrieval intelligence moves to query time — no vector database, no pre-embedding, and models can be swapped freely. A free quota is available.
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