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:
- Matryoshka Embeddings in the following dimensions: ‘[256, 512, 1024, 1536]’
- Unified Embeddings produced from mixed modality input (i.e. a single payload of image(s) and text(s))
- Context length of 128k
Embed v4 achieves state of the art in the following areas:
- Text-to-text retrieval
- Text-to-image retrieval
- 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.