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| title: README | |
| emoji: 📊 | |
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| ## Hello, we're Minish! | |
| ### About us | |
| We're an open-source lab, with a focus on Natural Language Processing. Minish is currently maintained by [@pringled](https://github.com/Pringled). | |
| The lab was originally founded by [@pringled](https://github.com/Pringled) and [@stephantul](https://github.com/stephantul). | |
| We believe that if you make models fast enough, you unlock new possibilities. | |
| Using our models and packages, you can: | |
| * Embed the entire English Wikipedia in 5 minutes | |
| * Classify tens of thousands of documents per second on a CPU | |
| * Approximately deduplicate extremely large datasets in minutes | |
| * Build the fastest RAG application in the world | |
| * Easily evaluate which ANN algorithm works best for your data | |
| ### Our projects: | |
| * [model2vec](https://github.com/MinishLab/model2vec): tiny static embedding models with state-of-the-art performance. | |
| * [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. | |
| * [vicinity](https://github.com/MinishLab/vicinity): consistent interfaces to many approximate nearest neighbor algorithms. | |
| * [semhash](https://github.com/MinishLab/semhash): lightning-fast, super accuracte, semantic deduplication and filtering for your text datasets. | |
| * [model2vec-rs](https://github.com/MinishLab/model2vec-rs): a Rust port of model2vec. | |
| You can also find us on: | |
| 🔬 [GitHub](https://github.com/MinishLab) | |
| 👽 [LinkedIn](https://www.linkedin.com/company/minish-lab/) | |
| 💬 [Discord](https://discord.gg/4BDPR5nmtK) | |