Cohere-embed-v3-english
Cohere Embed English is the market's leading text representation model used for semantic search, retrieval-augmented generation (RAG), classification, and clustering.Cohere
CohereVersion: 1
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About this model
Cohere Embed English is the market's leading multimodal (text, image) representation model used for semantic search, retrieval-augmented generation (RAG), classification, and clustering. The model was trained on nearly 1B English training pairs.Key model capabilities
Cohere Embed English is the market's leading multimodal (text, image) representation model used for semantic search, retrieval-augmented generation (RAG), classification, and clustering. Embed English has top performance on the HuggingFace MTEB benchmark and performs well on a variety of industries such as Finance, Legal, and General-Purpose Corpora.Quick facts
Model providerCohere
TypeEmbeddings
LifecycleGenerally available (GA)
Input typetext
Output typeembeddings
Context window512
PricingView pricing