For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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Guides and conceptsAPI ReferenceRelease NotesLLMUCookbooks
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Release Notes

April 15, 2025
April 15, 2025
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Announcing Embed Multimodal v4

We’re thrilled to announce the release of Embed 4, the most recent entrant into the Embed family of enterprise-focused large language models (LLMs).

Embed v4 is Cohere’s most performant search model to date, and supports the following new features:

  1. Matryoshka Embeddings in the following dimensions: ‘[256, 512, 1024, 1536]’
  2. Unified Embeddings produced from mixed modality input (i.e. a single payload of image(s) and text(s))
  3. Context length of 128k

Embed v4 achieves state of the art in the following areas:

  1. Text-to-text retrieval
  2. Text-to-image retrieval
  3. Text-to-mixed modality retrieval (from e.g. PDFs)

Embed v4 is available today on the Cohere Platform, AWS Sagemaker, and Azure AI Foundry. For more information, check out our dedicated blog post here.