📰 2026-04-04 01:30 更新
🔸 Show HN: TurboQuant for vector search – 2-4 bit compression / 显示HN ：用于矢量搜索的TurboQuant – 2-4位压缩
🔗 Show HN: TurboQuant for vector search – 2-4 bit compression
🔥 21 points
原文:
Rust implementation of TurboQuant for vector search, with Python bindings via PyO3. Compresses high-dimensional vectors to 2-4 bits per coordinate with near-optimal distortion. Data-oblivious (no training), zero indexing time. Unofficial implementation of TurboQuant (Google Research, ICLR 2026). from turbovec import TurboQuantIndex index = TurboQuantIndex(dim=1536, bit_width=4)
译文:
用于矢量搜索的TurboQuant的Rust实现， Python通过PyO3绑定。以接近最佳的失真将高维矢量压缩到每坐标2-4位。Data-oblivious （无训练） ，零索引时间。TurboQuant的非官方实现（ Google Research ， ICLR 2026 ）。来自turbovec import TurboQuantIndex index = TurboQuantIndex (dim = 1536, bit_width = 4)
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