How to Reduce Memory Requirements by up to 90%+ using Product Quantization

Product Quantization (PQ) is a powerful tool for compressing vectors and saving memory. This article explains how PQ works by using an analogy of house addresses. By storing less precise information, you can reduce memory usage. The article also introduces the concept of rescoring, which helps improve recall when compressing vectors. The experimental results and benchmarking scripts provided make this article relevant to anyone interested in optimizing their productivity and managing their to-do lists efficiently.

Link: How to Reduce Memory Requirements by up to 90%+ using Product Quantization