This post discusses compression techniques for efficient embedding search, focusing on scalar quantization, which reduces the size of vectors without significant loss in search quality. It explores the benefits of quantization in terms of reduced memory usage and improved search speed.
•6m read time• From medium.com
Table of contents
The Art of Efficient Search: Scalar Quantization and VectorsBackgroundWhy is flat embedding search hard?Scalar quantization to the rescueLooking forwardsDefine the future of AI with usAcknowledgementsSort: