The crispy sentence embedding family from Mixedbread . 🍞 Looking for a simple end to end retrieval solution? Meet Omni, our multimodal and multilingual model. Get in touch for access. mixedbread ai/mxbai embed large v1 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. Quickstart 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. sentence transformers Transformers Transformers.js If you haven't already, you can install the Transformers.js JavaScript library from NPM using: You can then use the model to compute embeddings like this: Using API You can use the model via our API as follows: The API comes with native int8 and binary quantization support! Check out the docs for more information. Infinity E…
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