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A tweet highlights Jina AI's ReaderLM-v2, a small 4GB model that achieves high accuracy in extracting information from messy DOM elements, exemplifying the trend toward specialized small language models.
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.
Jina AI has released jina-embeddings-v5-omni, a universal embedding model supporting text, images, audio, and video with back-compatible indexing capabilities.
This paper introduces jina-embeddings-v5-omni, a suite of multimodal embedding models that extend text embeddings to image, audio, and video using frozen-tower composition. The method trains only 0.35% of the total weights, maintaining text geometry while achieving competitive state-of-the-art performance with significantly lower computational cost.