Prompting
What is Vector Database?
A database optimized to store embeddings and find the closest matches by meaning, not exact keywords.
Learn this term every day on iPhone.
One hand-written term. A real workplace example. Thirty seconds before your day gets loud.
In real work
Vector database stores doc embeddings so RAG can fetch the three closest policy sections in milliseconds.
How is this different from Googling it?
Google gives a definition. Prompthaus pairs each term with how it shows up in standups, PRs, prompts, and design reviews—then quizzes you until the word sticks. One term a day on iPhone.