#17 – Vector Databases explained in 3 minutes

If you want to build a serious AI application, traditional SQL databases just won’t cut it. You need a way for machines to store, search, and „remember“ concepts and context. Enter the unsung hero of the AI revolution: The Vector Database. In this bite-sized episode, we give you a rapid-fire, zero-fluff explanation of what vector databases are and why they are the backbone of modern AI infrastructure. In this episode, we cover:

• What „embeddings“ are and how AI plots words in multi-dimensional space.

• Why searching by meaning is fundamentally different from searching by keywords.

• Why your next tech stack absolutely needs a vector database.