A naive PQ index that trains the quantizer once and reuses the same codebook for recent data definitely has this problem. We (Milvus/Zilliz) break up all the ve

A naive PQ index that trains the quantizer once and reuses the same codebook for recent data definitely has this problem. We (Milvus/Zilliz) break up all the vectors into multiple indexes at certain checkpoints which we call segments. This doesn't fully solve the problem of degraded performance with PQ or hybrid PQ indexes, but certainly helps mitigate it. More info here: https://milvus.io/docs/glossary.md#Segment https://milvus.io/docs/glossary.md#Segment