What is Embedding?
A numeric vector that captures the meaning of text. Similar phrases get similar vectors so search can match by concept.
"refund policy" → [0.71, 0.32] · nearest: "money back"
An embedding represents…
Write it in your own words in the app.
In real work
Embedding maps each FAQ chunk to a vector so similar questions cluster for retrieval.
In the illustration
Each phrase becomes a token placed at its coordinates on a ruled plate; 'refund policy' lands right next to 'money back', far from 'shipping times'.
Generate an embedding in your model for each product description and find the ten pairs that are closest, so we can merge duplicate listings.
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.
