Cohere Embed API
The Cohere Embed API generates vector embeddings from text and images, enabling semantic search, clustering, and classification use cases. It supports multilingual content and can process both text and image inputs using the Embed v3 model family. Developers can use these embeddings to build retrieval systems, recommendation engines, and other applications that require understanding semantic similarity between content.
Documentation
Specifications
OpenAPI
#Artificial Intelligence
#Embeddings
#Natural Language Processing
#Semantic Search
#Vector Search