rag-prompt-stuffing-definition
IN premise — summaries/2026/08/24/wiki-Retrieval-augmented_generation.md
Created 2026-08-25T02:58:52+00:00
Prompt stuffing is the mechanism of prepending retrieved context to the user query so the LLM prioritizes supplied data over its pre-existing training knowledge.
Summary
What people call retrieval-augmented generation is really just a formatting trick: the system tacks the looked-up text onto the front of the user's question, and the model naturally leans on whatever sits closest in the prompt rather than what it memorized during training. That means the whole quality of the answer hinges on whether the right snippet made it into that prepended slot, and the model has no built-in way to verify beyond what was literally handed to it.