Vector Embeddings, Quantization, Vector Quantization.
in storage and improvements in processing speed. Storage Savings with Quantization To grasp the magnitude of storage savings, let us consider a typical example where each vector consists of 1024 elements, represented as 32-bit floating-point numbers. Each floating- point number occupies 4 bytes.