Day 4 Accuracy Recovery with Rescoring When we use quantization methods like Scalar, Binary, or Product Quantization, we're compressing our vectors to save memory and improve performance. However, this compression can slightly reduce the accuracy of our similarity searches because the quantized vectors are approximations of the original data. To mitigate this loss of accuracy, you can use oversampling and rescoring, which help improve the accuracy of the final search results. So let’s say w...
