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Cohere launches Embed 5 for fast, flexible AI search

Cohere just launched Embed 5, a pair of AI models for turning documents, images, and mixed inputs into search-friendly vectors. You use the 'Pro' version to index data for quality, and the cheaper, speedier 'Fast' variant to handle user queries — without needing to reprocess your files. Cohere says retrieval quality stays very close to Pro alone. Both support over 100 languages and can compress storage down to 3.2 GB for 100 million items.

Why it mattersRetrieval-augmented generation and AI-powered search hinge on embedding quality and speed. With Embed 5, teams can save time and cost at large scale, while keeping retrieval accuracy high and storage needs low.

Sources covering this

docs.cohere.comAnnouncing Cohere's Embed 5 Models12:00 AM →The New StackCohere’s faster query model barely dents retrieval quality in its tests6:41 PM →

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