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Jina AI(@JinaAI_)

Multimodal Search✅ Airgapped✅ Apache2✅ v5-omni keeps the v5-text backbone completely frozen and adds pretrained vision and audio encoders c... Today v5-omni is available on Elastic Inference Service, HuggingFace and Jina API. Learn more about ... jina-embeddings-v5-omni is here! Our first universal embedding model for text, images, audio, and vi... Our official CLI for agents https://t.co/XLhRvLRuDc Tweet v5-text uses decoder-only backbones with last-token pooling instead of mean pooling. Four lightweigh... jina-embeddings-v5-text is here! Our fifth generation of jina embeddings, pushing the quality-effic... Text embeddings are widely assumed to be safe, irreversible representations. We show we can reconstr... Check out the live demo https://t.co/W1EXpDFCAL and see it in action. Our read our repo and paper fo... Most don't know (1) how easy it is to invert embedding vectors back into sentences, (2) this is a pe... 0.6B params. Top3 on MTEB reranking task. 10× smaller than generative listwise rerankers. Read more ... jina-reranker-v3 was the first listwise reranker to throw all documents into one context window (whe... Here's an visualization for jina-embeddings-v4 vectors. This concentration collapses exponents to a ... Find our C implementation: https://t.co/3fT2TIKs0G And the paper: https://t.co/kdwFRBx18L Convert your embeddings to spherical coordinates before compression - this trick cuts embedding stor... Full paper here: https://t.co/9oWPkIMaW3 Survey on vision encoders in VLMs. The encoder side is weirdly understudied: everyone's busy scaling... Jina-VLM achieves state-of-the-art performance among open 2B-scale VLMs, leading with the highest av... Arxiv: https://t.co/s5Sqt1OkOt HuggingFace: https://t.co/HoUcF87BmJ Blog: https://t.co/0xkZlkEte5 Releasing jina-VLM: our new 2B vision language model achieves SOTA on multilingual visual question a... curl https://t.co/0iNSUvqigB This is our Meta-Prompt. It allows LLMs to understand our Reader, Embed...
The trend toward smaller embeddings is a shift. On-device retrieval, browser-based search, and edge ...
Jina AI (@Ji · 2026-02-19 · via Jina AI(@JinaAI_)
The trend toward smaller embeddings is a shift. On-device retrieval, browser-based search, and edge deploymen…

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