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TurboQuant is an open-source library for vector search that utilizes 2-4 bit compression to reduce storage requirements. It allows for efficient similarity search and clustering of dense vectors, making it suitable for applications such as image and text search. The library is designed to be highly scalable and can be integrated into existing machine learning workflows.
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