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TurboQuant for vector search – 2-4 bit compression

TurboQuant for vector search – 2-4 bit compression

Apr 3, 2026 AI & Machine Learning
compression similarity search vector search

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TurboQuant for vector search – 2-4 bit compression

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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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