[KongchangAI]
BenchmarkContextual Text Embedding Benchmark

ConTEB

A public benchmark designed specifically for evaluating contextual embedding capabilities. It constructs scenarios requiring cross-chunk understanding for correct retrieval, measuring an embedding model's ability to handle cross-chunk dependencies within a document. It is distinct from the more general-purpose MTEB benchmark.

Timeline (last 90 days)

Oct 5

pplx-embed-v2-context-9b-preview has achieved state-of-the-art (SOTA) results on two benchmarks: ConTEB and context-bench.

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Oct 5

ConTEB is a publicly available evaluation set specifically designed to assess contextual embedding capabilities, distinct from the more general MTEB.

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Oct 3

pplx-embed-v2-context-9b-preview achieved best-in-class performance on both the ConTEB and turbopuffer context-bench benchmarks (official data).

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