MODELS
embed-v4.0
by Cohere
Overview
Cohere’s multimodal embedding model for text, images, and mixed documents, with 128K context and configurable embedding dimensions for enterprise search/RAG.
Details
embed-v4.0 is Cohere’s multimodal embedding model for creating embeddings from text, images, and mixed documents. The supplied Cohere launch page and model documentation describe it as supporting a 128K context window and configurable embedding dimensions, positioning it for enterprise search and retrieval-augmented generation workflows where content may include both language and visual document inputs.
When to Use
Use embed-v4.0 when you need embeddings for text, images, or mixed documents from a Cohere model. Consider it for enterprise search or RAG workflows that benefit from long-context embedding support and configurable embedding dimensions.
Getting Started
- Read Cohere’s embed-v4.0 launch page for the product overview.
- Review Cohere’s model documentation page for model-specific usage details.
- Run a small evaluation on representative text, image, or mixed-document data before production use.
Key Features
- •Multimodal embedding support for text, images, and mixed documents.
- •128K context window as described by Cohere.
- •Configurable embedding dimensions.
- •Positioned for enterprise search and RAG use cases.
Capabilities
- •text embeddings
- •image embeddings
- •mixed-document embeddings
- •enterprise search/RAG retrieval
Last updated Aug 3, 2026