@berryxia: Bro! Jina just dropped a huge one today! Jina-embeddings-v5-omni is here! It's their first unified Embedding model that truly supports text + image + audio + video! (Multimodal EMB~!) Two si...

X AI KOLs Timeline 05/13/26, 12:11 AM Models

Summary

Jina has released Jina-embeddings-v5-omni, the first unified multimodal embedding model supporting text, images, audio, and video. The model is available in Small and Nano versions, is backward compatible with existing indexes, and boasts strong performance. It is now available on Hugging Face and via the Jina API.

Bro! Jina just dropped a huge one today! Jina-embeddings-v5-omni is here! It's their first unified Embedding model that truly supports text + image + audio + video! (Multimodal EMB~!) Two sizes: Small (1.57B parameters, 1024 dimensions, 32K context window) Nano (0.95B parameters, 768 dimensions, 8K context window) It also supports Matryoshka representation learning, allowing truncation down to 32 dimensions—super flexible. The best part? It's fully backward compatible: your existing v5-text indexes don't need to change; just switch to omni and you can immediately start searching for images, audio, and video! Same vector space, no reindexing required. Performance is also fierce; the small model matches or even surpasses several open-source models with significantly larger parameter counts. It's now live on Hugging Face, Jina API, and Elastic Inference Service. This multimodal embedding wave is really exciting, guys! Are you already working on multimodal RAG or multimedia search?

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