The crispy rerank family from Mixedbread . 🍞 Looking for a simple end to end retrieval solution? Meet Omni, our multimodal and multilingual model. Get in touch for access. mxbai rerank xsmall v1 This is the smallest model in our family of powerful reranker models. You can learn more about the models in our blog post. We have three models: mxbai rerank xsmall v1 (🍞) mxbai rerank base v1 mxbai rerank large v1 Quickstart Currently, the best way to use our models is with the most recent version of sentence transformers. pip install U sentence transformers Let's say you have a query, and you want to rerank a set of documents. You can do that with only one line of code: JavaScript Example Install transformers.js npm i @xenova/transformers Let's say you have a query, and you want to rerank a set of documents. In JavaScript, you need to add a function: Using API You can use the large model via our API as follows: The API comes with additional features, such as a continous trained reranker! Check out the docs for more information. Evaluation Our reranker models are designed to elevate your search. They work extremely well in combination with keyword search and can even outperform semantic…
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