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docs: title and citation
Browse filesSigned-off-by: jupyterjazz <[email protected]>
README.md
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</p>
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<p align="center">
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<b>Jina Embeddings v4:
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</p>
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## Quick Start
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[Blog](https://
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## Intended Usage & Model Info
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# ========================
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# 4. Use multivectors
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# ========================
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multivector_text_embeddings = model.encode(
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sentences=texts,
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task="retrieval",
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prompt_name="query",
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return_multivector=True,
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)
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images = ["https://i.ibb.co/nQNGqL0/beach1.jpg", "https://i.ibb.co/r5w8hG8/beach2.jpg"]
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multivector_image_embeddings = model.encode(
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sentences=images,
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task="retrieval",
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return_multivector=True,
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)
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```
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</details>
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## Citation
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If you find `jina-embeddings-v4` useful in your research, please cite the following paper:
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</p>
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<p align="center">
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<b>Jina Embeddings v4: Universal Embeddings for Multimodal Multilingual Retrieval</b>
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</p>
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## Quick Start
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[Blog](https://jina.ai/news/) | [Technical Report](https://arxiv.org/abs/2506.18902) | [API](https://jina.ai/embeddings)
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## Intended Usage & Model Info
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# ========================
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# 4. Use multivectors
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# ========================
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# If you want to use multi-vector embeddings, please use the Hugging Face model directly.
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```
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</details>
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## Citation
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If you find `jina-embeddings-v4` useful in your research, please cite the following paper:
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```
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@misc{günther2025jinaembeddingsv4universalembeddingsmultimodal,
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title={jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval},
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author={Michael Günther and Saba Sturua and Mohammad Kalim Akram and Isabelle Mohr and Andrei Ungureanu and Sedigheh Eslami and Scott Martens and Bo Wang and Nan Wang and Han Xiao},
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year={2025},
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eprint={2506.18902},
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archivePrefix={arXiv},
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primaryClass={cs.AI},
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url={https://arxiv.org/abs/2506.18902},
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}
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```
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