#2. Databases like Postgres are central to backend applications, but for AI the real action is happening on those tensor frameworks.

Honestly I can't see pgvector becoming a mainstream way of running inference. I used pg cube for that on one project a while ago. Yeah it worked, but even ignoring the performance issues, it only made sense for our weird use case.