[ShamelessC]

> I would argue that for "vector databases" there's alot more "database" problems than "vector" problems to be solved.

Why the need for new technologies then? Databases are well studied. Vector search is relatively easy to implement. Sure, there are some new insights to be gained by respecting a hybrid approach - but they are clearly overvalued.

Machine learning is supposed to make things easier. If you implement vector search across your company's data, there's no reason a LLM couldn't simply do the various SQL-style operations on chunks of that data retrieved via KNN. I'm not aware of this approach being used in practice - but I still think the obvious direction we are heading towards is to be able to talk to computers in plain english, not SQL or some other relational algebra framework.