What is Vector Database?
A database optimized to store embeddings and find the closest matches by meaning, not exact keywords.
query → 3 nearest trays
A vector database finds…
Write it in your own words in the app.
In real work
Vector database stores doc embeddings so RAG can fetch the three closest policy sections in milliseconds.
In the illustration
A query token is dropped in; the three nearest trays slide out.
Load the 4,000 support articles into a vector database through your model, then show me the five nearest neighbours for the query 'refund after 30 days'.
Try it now
The fastest way to learn a word is to use it. Open this line in the agent you already work in and watch what it does. Change the tool to the one you use.
Go further
01Practice
Make it stick
One term a day, a short quiz, and sentence practice that checks your own words.
02Verify
Prove you know it
Pass the quiz and keep it in a Skills Wallet you can share with anyone who needs proof.
03Career
Find the work that uses it
See which roles lean on this vocabulary, and what they pay in year one.
Learn the next term tomorrow.
Google gives a definition. Prompthaus pairs each term with how it shows up in standups, PRs, prompts, and design reviews. Then it quizzes you until the word sticks. One term a day on iPhone.
