A listener asked whether companies really need vector databases or whether this is just another expensive AI product looking for a budget.
In this episode, we translate vector databases into plain English. They are tools for finding things by meaning, not just by matching exact words. That can be useful for AI assistants, company knowledge search, support tickets, documents, and recommendations. But they are not magic, and they are not always necessary. Sometimes a normal database, a search engine, or better document management is enough.
The key question is not „Do we need a vector database“? The key question is: „What are we trying to find that our current search cannot find“?