We're a two-person (@pringled and@stephantul) open-source company, with a focus on Natural Language Processing.

We believe that if you make models fast enough, you unlock new possibilities.

Using our software, you can:

• Embed the entire English Wikipedia in 5 minutes
• Classify tens of thousands of documents per second on 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: make tiny models that are still really really good.
• potion: the best small model in the world. 100-500x faster than a sentence-transformer, and almost as good.
• vicinity: consistent interfaces to many approximate nearest neighbor algorithms.
• semhash: lightning-fast, super accuracte, approximate deduplication for your text datasets.

You can also find us on:

• 🤗huggingface
• 👽LinkedIn
• 💬Discord

Repositories