When architecting search systems, I have seen teams focusing on vector search only, and not considering semantic search anymore, thinking it is a legacy obsolete technology. Let's take a look at those two approaches implemented in Azure AI Search, and elaborate when one or another makes more sense, and if Hybrid approach, that combines benefits of both, could be a winning strategy.