SproutStack🌱 AI Engineering · Embeddings, Vector Search & RAG · cozy lesson
What are Embeddings?
10 min · 1 min read · no scary math, promise
🤖
You’ve got this. Read a little, play a little — I’ll wait. No rush.
king - man + woman ≈ queen. Embed with text-embedding-3-small, compare cosine. Try /animations/embeddings.
q = embed("return policy?")
docs = embed_all(chunks)
best = top_k(cosine(q, docs), k=4)
💛 Enjoying? Try 5 playful quizzes or watch it move.
Check your understanding
Correct answers earn XP (once each).
1. Similar meaning =
2. Same model for docs + query?
My notes (saved in this browser)
Select text above → Save selection, or write your own. AlgoMaster-style notebook, local-first for MVP.
No notes yet. Your highlights will live here.
Finished reading? Seal it with a tick ✅
The checkbox in the explorer turns green too — same progress.