This 100%. Vector DBs have been heavily pushed by vector DB companies and cloud providers, and despite companies often having mere MBs of documents to search through for their use cases, amounts that trivially fit into RAM / can be searched via dot product in milliseconds, managers and engineers less familiar with the space think people are doing it wrong if they don't use a vector db. So.. vector DBs end up getting used when actually a simpler in-memory, non-approximate, solution would be fine, (but less monetizable)