Where would a Redis vector store play a part though? Maybe you'd load up relevant embeddings for a particular user while they're interacting with their dataset, to make their responses quicker? You've already spent the effort on hydrating their data out of persistence though. I guess step one is likely being a more trusted alternative to the in-memory vector solutions like HNSW, Faiss, and a potentially faster engine than pg_vector. I've always seen Redis as an augmentation, but maybe in this role it can take the helm?