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  <b>The crispy sentence embedding family from <a href="https://mixedbread.ai"><b>Mixedbread</b></a>.</b>
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  </p>
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  # mixedbread-ai/mxbai-embed-large-v1
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  Here, we provide several ways to produce sentence embeddings. Please note that you have to provide the prompt `Represent this sentence for searching relevant passages:` for query if you want to use it for retrieval. Besides that you don't need any prompt. Our model also supports [Matryoshka Representation Learning and binary quantization](https://www.mixedbread.ai/blog/binary-mrl).
 
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  <b>The crispy sentence embedding family from <a href="https://mixedbread.ai"><b>Mixedbread</b></a>.</b>
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  </p>
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+ ### 🍞 We're offering an end-to-end retrieval solution powered by Omni, our state-of-the-art multimodal & multilingual model. Get started with RAG, agent use cases and more — [contact us today for access](https://www.mixedbread.com/).
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  # mixedbread-ai/mxbai-embed-large-v1
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  Here, we provide several ways to produce sentence embeddings. Please note that you have to provide the prompt `Represent this sentence for searching relevant passages:` for query if you want to use it for retrieval. Besides that you don't need any prompt. Our model also supports [Matryoshka Representation Learning and binary quantization](https://www.mixedbread.ai/blog/binary-mrl).