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Aidan Gomez shares the measured results of Cohere Embed on Model Vault

1 reports1 story updatesUpdated Oct 28 01:17

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Aidan Gomez shared the measured results of ada_cx using Cohere Embed on Model Vault. According to his post published on October 28, 2026, the median retrieval latency was 77 milliseconds, throughput per dollar for offline embeddings increased 2.7 times, vector storage footprint shrank 4 times with no noticeable decline in retrieval quality, and top-10 recall reached 90.7%. Currently, these results come only from this single source, Aidan Gomez, with no other independent reports or subsequent developments.

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Measured Results of Cohere Embed on Model Vault

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  1. Aidan Gomez shares results of applying Cohere Embed on Model Vault

    Source:Aidan Gomez

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Oct 28

  1. Aidan Gomez

    Measured Results of Cohere Embed on Model Vault

    Aidan Gomez shares the results of ada_cx using Cohere Embed on Model Vault: median retrieval latency of 77 ms, 2.7x higher throughput per dollar for offline embedding, 4x smaller vector storage footprint with no significant drop in retrieval quality, and a top-10 recall rate of 90.7%.

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