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Explain a RAG System

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Problem

Scenario

You're building a system where a language model should answer questions using a specific document collection instead of relying only on pretraining. You decide to use retrieval-augmented generation so responses stay grounded in source material.

Question

What is retrieval-augmented generation (RAG)?

What this tests

  • Understanding of retrieval plus generation as a two-stage NLP pattern
  • Knowledge of vector search and document chunking
  • Ability to connect retrieval quality to answer quality
  • Awareness of grounded evaluation for LLM outputs