Cohere today unveiled Embed 3, its most advanced multimodal AI model, which seamlessly integrates text and image embeddings within a unified latent space, setting new benchmarks for accuracy and performance in enterprise search and multilingual retrieval tasks.
The model is capable of generating embeddings from both text and images enabling businesses to unlock valuable insights from their vast data, including complex reports, product catalogs, and design files, boosting workforce productivity.
Embed 3 is now available on Cohere’s platform, Amazon SageMaker, and for private deployment in any VPC or on-premise environment.
Beyond Multimodal Capabilities
Embed 3 converts data into numerical representations within a unified vector space, allowing for accurate similarity comparisons across text and image data. This ensures balanced and highly relevant search results without bias toward one modality, setting it apart from other models.
Embed 3 excels in various real-world use cases. For instance, businesses can now retrieve graphs, charts, and eCommerce product …