The embedding step is certainly slower than clustering, but the memory requirements blow up pretty fast when you're doing density-based clustering on a dataset

The embedding step is certainly slower than clustering, but the memory requirements blow up pretty fast when you're doing density-based clustering on a dataset of even, say, 100k embeddings.