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aka RAG

Retrieval-Augmented Generation

A pattern where you retrieve relevant documents at query time and stuff them into the LLM's prompt so it can ground its answer in real sources.

RAG
BACKLOG · WORK IN PROGRESS

This term is being written.

The metadata and shape of this page are stable, but the body content isn't ready yet. We'll publish it once it meets the bar of teaching something new with worked examples and real tools.

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