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https://store-images.s-microsoft.com/image/apps.49158.824827ae-a225-4bd3-a143-41199b9ba2de.a92cb7f4-5d68-472e-9081-8a431453d06e.d6f34f05-84df-4b78-a4e9-f7f441c5a280

Cohere Embed 4

by Cohere

Embed 4 transforms multiple modalities, such as texts and images, into numerical vectors.

Cohere's Embed 4 is a multilingual multimodal embedding model. It is capable of transforming different modalities such as images, texts, and interleaved images and texts into a single vector representation. Embed 4 offers state-of-the-art performance across all modalities (texts, images, interleaved texts and image) and in both English and multilingual settings.


Embed 4 offers a variety of ways for compression both on the number of dimensions and the number-format precision. The model offers byte and binary quantization and matryoshka embeddings for further compression.

At a glance

https://store-images.s-microsoft.com/image/apps.30368.824827ae-a225-4bd3-a143-41199b9ba2de.7ea62099-872c-41eb-87ce-b9cb30aa4cd7.5fed0832-4182-47db-86ee-cbf53df6ae36
https://store-images.s-microsoft.com/image/apps.61999.824827ae-a225-4bd3-a143-41199b9ba2de.7ea62099-872c-41eb-87ce-b9cb30aa4cd7.f63ab7c9-ec9e-4148-8960-40a72eaeab57
English (Singapore)
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