Disclaimer: I’m not an ML expert and not even a serious ML specialist (yet?), so feel free to let me know if I’m wrong! It seems to me that we have hit a bit of an “on-premises” vs. “on-premise” situation in the ML/AI and vector search terminology space. The majority of product announcements, blog articles and even some papers I’ve read use the term vector embeddings to describe embeddings, but embeddings already are vectors themselves! - Linux, Oracle, SQL performance tuning an...
