Definition
Few-Shot RAG is a prompt engineering technique that integrates a small number of specific demonstrations (examples) alongside retrieved context to guide an LLM's output format and reasoning logic. It balances the factual grounding of RAG with the pattern-following capabilities of in-context learning, though it increases token overhead and processing latency.
Unlike standard RAG which provides only raw data, Few-Shot RAG provides data plus 'gold-standard' examples of how to process that data.
"A student taking an open-book exam who is provided with both the textbook (retrieved data) and three perfectly graded sample answers (demonstrations) to model their response after."
Conceptual Overview
Few-Shot RAG is a prompt engineering technique that integrates a small number of specific demonstrations (examples) alongside retrieved context to guide an LLM's output format and reasoning logic. It balances the factual grounding of RAG with the pattern-following capabilities of in-context learning, though it increases token overhead and processing latency.
Disambiguation
Unlike standard RAG which provides only raw data, Few-Shot RAG provides data plus 'gold-standard' examples of how to process that data.
Visual Analog
A student taking an open-book exam who is provided with both the textbook (retrieved data) and three perfectly graded sample answers (demonstrations) to model their response after.