Technology
Elastic Introduces Jina v5 Omni Family: Two Models to Power Text, Image, Video, and Audio Search
SAN FRANCISCO, May 11, 2026--Elastic (NYSE: ESTC), the Search AI Company, today announced jina-embeddings-v5-omni, a new family of multimodal embedding models with the ability to represent text, images, video, and audio as vectors. Developers can now perform search, classification, clustering, and deduplication across different media types, giving users powerful new ways to understand and organize multimodal data.
About this update from Elastic N.v.
[{"type":"image","alt":"","displaySize":"","headline":null,"caption":"","credit":null,"className":"","disableSlideshowImg":false,"size":{"original":{"width":409,"height":480,"url":"https://media.zenfs.com/en/business-wire.com/b0169251be3bc7326585a2c79f4470f1"},"resized":{"url":"https://s.yimg.com/ny/api/res/1.2/YbWL3UD8MLQqt8RVQgEMEQ--/YXBwaWQ9aGlnaGxhbmRlcjt3PTcwNTtoPTgyNw--/https://media.zenfs.com/en/business-wire.com/b0169251be3bc7326585a2c79f4470f1","width":409,"height":480},"resize_sm":{"url":"https://s.yimg.com/ny/api/res/1.2/IM7qFnNU3qWZAoovVoA6hA--/YXBwaWQ9aGlnaGxhbmRlcjt3PTY0MDtoPTc1MQ--/https://media.zenfs.com/en/business-wire.com/b0169251be3bc7326585a2c79f4470f1","width":409,"height":480}},"lazy":false},{"type":"text","content":"New addition to the Jina v5 model family delivers flexible, cost-efficient AI search across media types without rebuilding existing systems","length":139,"tagName":"p","attribs":{}},{"type":"text","content":"SAN FRANCISCO, May 11, 2026--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, today announced jina-embeddings-v5-omni, a new family of multimodal embedding models with the ability to represent text, images, video, and audio as vectors. Developers can now perform search, classification, clustering, and deduplication across different media types, giving users powerful new ways to understand and organize multimodal data.","length":434,"tagName":"p"},{"type":"text","content":"Available in two sizes, small and nano, the new omni models share the exact same text embedding space as jina-embeddings-v5-text, so v5-text users can keep their existing index, swap in an omni model, and immediately index multimedia into the same vectors.","length":256,"tagName":"p"},{"type":"text","content":""Our goal with v5-omni is simple: make multimodal search as easy and scalable as text search already is," said Ken Exner, chief product officer, Elastic. "By building on existing models and ensuring full compatibility, we’re giving teams a practical way to expand into images, audio, and video, without starting from scratch."","length":346,"tagName":"p"},{"type":"text","content":"Powered by a single universal language model that aligns all modalities, the v5-omni models also feature a modular design, so users can toggle text, image, and audio processing features as needed, offering flexibility and efficiency ac...