Cohere Embed Multilingual is the market’s leading multimodal (text, image) representation model used for semantic search, retrieval-augmented generation (RAG), classification, and clustering. Embed Multilingual supports 100+ languages and can be used to search within a language (e.g., search with a French query on French documents) and across languages (e.g., search with an English query on Chinese documents). This model was trained on nearly 1B English training pairs and nearly 0.5B Non-English training pairs from 100+ languages.