📢 Announcing voyage-multimodal-3.5: a new multimodal retrieval frontier with video support
voyage-multimodal-3.5 outperforms Google Multimodal Embedding 001, Cohere Embed v4, Amazon Nova 2 Multimodal, and voyage-multimodal-3 by 30.57%, 2.26%, 8.38%, and 3.03% respectively on visual document retrieval
voyage-multimodal-3.5 is 4.65% more accurate than Google Multimodal Embedding 001 across video retrieval datasets
voyage-multimodal-3.5 matches state-of-the-art performance for standard text retrieval, outperforming Cohere v4, Amazon Nova 2 Multimodal, and voyage-multimodal-3 by 3.49%, 8.48%, and 5.22%, respectively
voyage-multimodal-3.5 is available today! The first 200 million tokens and 150B pixels are free.
Get all the details in the release blog: https://t.co/Oq6BN5P2UQ
multimodal — A model that works with more than text — reading images, audio, or video, and sometimes generating them too.
embedding — A list of numbers representing a piece of text's meaning, so that similar meanings end up numerically close and can be searched.
Why it matters
One embeddingA list of numbers representing a piece of text's meaning, so that similar meanings end up numerically close and can be searched.Full definition → space covering text, images and video removes the separate pipeline usually needed for video search, with published margins against the main alternatives.
