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            ## Hello, we're Minish!
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            We believe that if you make models fast enough, you unlock new possibilities.
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            Using our  | 
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            * Embed the entire English Wikipedia in 5 minutes
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            * Classify tens of thousands of documents per second on a CPU
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            * Approximately deduplicate extremely large datasets in minutes
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            * Build the fastest RAG application in the world
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            * Easily evaluate which ANN algorithm works best for your data
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            Our projects:
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            * [model2vec](https://github.com/MinishLab/model2vec): tiny static embedding models with state-of-the-art performance.
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            * [potion](https://huggingface.co/collections/minishlab/potion-6721e0abd4ea41881417f062): the best small models in the world. 100-500x faster than a sentence-transformer, and almost as good.
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            * [model2vec-rs](https://github.com/MinishLab/model2vec-rs): a Rust port of model2vec.
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            You can also find us on: 
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            π¬ [GitHub](https://github.com/MinishLab)
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            π½ [LinkedIn](https://www.linkedin.com/company/minish-lab/)
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            ## Hello, we're Minish!
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            ### About us
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            We're an open-source lab, with a focus on Natural Language Processing. Minish is currently maintained by [@pringled](https://github.com/Pringled).
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            The lab was originally founded by [@pringled](https://github.com/Pringled) and [@stephantul](https://github.com/stephantul).
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            We believe that if you make models fast enough, you unlock new possibilities.
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            Using our models and packages, you can:
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            * Embed the entire English Wikipedia in 5 minutes
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            * Classify tens of thousands of documents per second on a CPU
         | 
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            * Approximately deduplicate extremely large datasets in minutes
         | 
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            * Build the fastest RAG application in the world
         | 
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            * Easily evaluate which ANN algorithm works best for your data
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            ### Our projects:
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            * [model2vec](https://github.com/MinishLab/model2vec): tiny static embedding models with state-of-the-art performance.
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            * [potion](https://huggingface.co/collections/minishlab/potion-6721e0abd4ea41881417f062): the best small models in the world. 100-500x faster than a sentence-transformer, and almost as good.
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            * [model2vec-rs](https://github.com/MinishLab/model2vec-rs): a Rust port of model2vec.
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            You can also find us on: 
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            π¬ [GitHub](https://github.com/MinishLab)
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            π½ [LinkedIn](https://www.linkedin.com/company/minish-lab/)
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