I know I'm biased on this, but it has always seemed obvious that vector search would be subsumed into other databases. At MongoDB we've made it easy to manage operational and vector data in the same place, simplifying data architecture. While I think we do this better than others, it's also true that other vendors and communities (like Postgres with pgvector) have added vector capabilities and, frankly, always were going to do so. It's just a natural extension. I don't want to be dismissive of purpose-built vector databases, but they're going to have to evolve to suit more general-purpose workloads. This could happen as Neo4j has done, e.g., making graphs a more general way of thinking about data. It will be interesting to see how it plays out.