The same idea — Retrieval-Augmented Generation — taken from recall all the way to creation. Descend one rung at a time. The deeper you go, the more it's yours.
⚡Your chatbot answers confidently about your product — and half of it is invented, because the model never saw your docs.
LEVEL 1 — REMEMBER · recall the words
⚓ ANCHOR · IF YOU ALREADY KNOW
If you know a read-through cache, you know RAG: on each query you fetch the relevant documents first, then let the model compute the answer over them. The vector DB is your index; retrieval quality is your hit rate.
Get the words automatic. Tap each chip to flip it.