Applied AI·Embeddings and retrieval
you look up the relevant bits of your own documents first and paste them into the prompt, so the answer comes from your data instead of the model's memory.
Retrieval-augmented generation (RAG)
Also calledRAG
Draft summary, pending review
The pattern of retrieving relevant chunks and placing them in the prompt so the model answers from your data instead of its memory: embed and index at write time, retrieve and generate at read time. Script 7 is the whole thing in 80 lines; production RAG is those 80 lines plus retrieval quality work.