When building search for an application, you typically face two broad approaches:


Traditional keyword-based search — match words exactly or with simple variants.
Semantic (or vector) search — match meaning or context using AI embeddings.


There's also a hybrid approach, but I will let that for a future article. Instead, in this post I’ll walk...