On one index I'm using OPQ16_64,IVF262144_HNSW32,PQ16 with 128 dimensions initially.

1024 dimensions is a lot! Could you elaborate on what application requires that many? If it's a DNN layer output, your data must be sparse, so dimensionality reduction won't affect your recall if tuned properly.