Today, IVF-PQ search only accepts full-precision datasets.
We would like support for searching when the queries are VPQ quantized.
The baseline strategy to do this is to decompress the queries (based on batch_size to avoid full materialization) and reuse the existing search kernels. The current search kernels use Asymmetric Distance Computation (ADC).
We may investigate a better search kernel strategy to exploit the idea that the queries are also quantized.
Today, IVF-PQ search only accepts full-precision datasets.
We would like support for searching when the queries are VPQ quantized.
The baseline strategy to do this is to decompress the queries (based on batch_size to avoid full materialization) and reuse the existing search kernels. The current search kernels use Asymmetric Distance Computation (ADC).
We may investigate a better search kernel strategy to exploit the idea that the queries are also quantized.