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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 a library for compressing vectors into 2-4 bits, reducing storage requirements while maintaining search accuracy. It is designed for use with vector search applications, allowing for efficient similarity searches and nearest neighbor queries. The library is available on GitHub and can be integrated into existing projects for improved performance and reduced storage needs.

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