Search just got a lot smarter. Elastic has launched something developers have been waiting for. The company announced jina-embeddings-v5-omni, a new family of multimodal embedding models. These models represent text, images, video, and audio as vectors. No more juggling separate pipelines for different media types. Everything lives in one compact, powerful model.
Two Models, One Shared Embedding Space
What makes the Jina v5 Omni Family truly practical is backward compatibility. The models come in two sizes, small and nano. Both share the exact same text embedding space as jina-embeddings-v5-text. That means existing users don’t need to start over. Teams can keep their existing index, swap in an omni model, and immediately index multimedia into the same vectors. Expanding into multimodal search has never been this straightforward.
The benchmark results are equally impressive. For audio, v5-omni models rank best in their size class on the Massive Audio Embedding Benchmark. They outperform systems many times their size. For text, v5-omni leads its size class on the Massive Multilingual Text Embedding Benchmark. It beats models in the 7B–14B parameter range. For video, v5-omni competes with grounding models several times its size on the Massive Multimodal Embedding Benchmark.
Ken Exner, Chief Product Officer at Elastic, summed up the vision behind the Jina v5 Omni Family:
“Our goal with v5-omni is simple: make multimodal search as easy and scalable as text search already is. 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.”
Both jina-embeddings-v5-omni-small and jina-embeddings-v5-omni-nano are available on Elastic Inference Service, via the Jina API, and for local installation via download. Model weights are distributed freely for non-commercial license use. Commercial users can contact Elastic sales for access. Elastic’s Search AI Platform is used by thousands of companies, including more than 50% of the Fortune 500.
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News Source: Businesswire.com
