nanoMTEB
A reduced subset of MTEB (Massive Text Embedding Benchmark) used to evaluate the text-matching capability of retrieval and reranking models at lower cost.
Timeline (last 90 days)
The Rerank 5 Pro version ranks first on both the nanoMTEB and ViDoRe V3 benchmarks.
nanoMTEB is a streamlined subset of MTEB used for low-cost evaluation of the text-matching capability of retrieval and reranking models; ViDoRe is a benchmark for visual document retrieval, and V3 is its newer version.
All Facts (2)
The Rerank 5 Pro version ranks first on both the nanoMTEB and ViDoRe V3 benchmarks.
50%UnverifiednanoMTEB is a streamlined subset of MTEB used for low-cost evaluation of the text-matching capability of retrieval and reranking models; ViDoRe is a benchmark for visual document retrieval, and V3 is its newer version.
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