jina embeddings v5 omni small retrieval : Retrieval Targeted Omni Embedding (Small) ArXiv Blog Average score vs. parameter count across image (MIEB Lite), video (MMEB V), and audio (MAEB) benchmarks — jina v5 omni nano and jina v5 omni small define the open weight frontier (Table 1 in the ArXiv report). Model Overview jina embeddings v5 omni small retrieval is a multimodal embedding model that accepts text, images, video, and audio and produces embeddings in a shared vector space aligned with the text only jinaai/jina embeddings v5 text small retrieval — so you can index with text and query with any modality, no reindexing. For a more compact alternative, see jinaai/jina embeddings v5 omni nano retrieval . This is the retrieval targeted variant of the jina embeddings v5 omni small family. The combined repo containing all task adapters is jinaai/jina embeddings v5 omni small . Feature Value Parameters ~1.56B Embedding Dimension 1024 Supported Tasks retrieval Max Sequence Length 32768 Pooling Strategy Last token Supported Inputs text, image, video, audio Supported File Types images: .jpg , .jpeg , .png , .gif , .webp , .bmp , .tif , .tiff , .avif , .heic , .svg ; video: .mp4 , .avi ,…
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