扩展RaBitQ：一种优化的标量量化方法
The cover is generated by DALL-E. Approximate nearest neighbor (ANN) search in the high-dimensional space, a.k.a., vector search, is an increasingly important area due to its surging applications...
RaBitQ算法通过优化多位量化，显著提升了向量搜索的准确性和效率，支持任意压缩率，有效降低空间消耗和服务成本。实验结果显示，RaBitQ在2位及以上量化中优于现有技术，已被多个实际系统采用。
