Cohere-Embed-V5-Fast

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Cohere’s Embed 5 Fast is a multilingual multimodal embedding model. It is capable of transforming different modalities such as images, texts, and interleaved images and texts into a single vector representation. Embed 5 Fast offers state-of-the-art performance across all modalities (texts, images, interleaved texts and image) and in both English and multilingual settings.

Embed 5 Fast supports a 128k context length and an images can have a maximum of 2MM pixels. Embed 5 Fast is capable of vectorizing interleaved texts and images and capturing key visual features from screenshots of PDFs, slides, tables, figures, and more, thereby eliminating the need for complex document parsing. Embed 5 Fast offers a variety of ways for compression both on the number of dimensions and the number-format precision. The model offers byte and binary quantization and matryoshka embeddings for further compression.

• Multilingual multimodal embedding capabilities
• Transform different modalities such as images, texts, and interleaved images and texts into a single vector representation
• State-of-the-art performance across all modalities (texts, images, interleaved texts and image) in both English and multilingual settings
• Support for 128k context length
• Process images with a maximum of 2MM pixels
• Vectorize interleaved texts and images
• Capture key visual features from screenshots of PDFs, slides, tables, figures, and more
• Eliminate the need for complex document parsing
• Variety of compression options including byte and binary quantization
• Matryoshka embeddings for further compression