Embed v3 - English translates text into numerical vectors that models can understand. The most advanced generative AI apps rely on high-performing embedding models to understand the nuances of user inputs, search results, and documents. This Embed model has 1024 dimensions.

Cohere Embed v3 - English is the market’s leading text representation model used for semantic search, retrieval-augmented generation (RAG), classification, and clustering. These models achieve state-of-the-art performance among 90+ models on the Massive Text Embedding Benchmark (MTEB) and state-of-the-art performance for zero-shot dense retrieval on BEIR.