CT-GENAI Question 21

Community Discussion

Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.

• Chose B0

  - RAG (Retrieval-Augmented Generation) combines an information retrieval step (typically vector search over an embedding store) with an LLM generation step. The retrieved context is inserted into the prompt so the model can ground answers in up-to-date or proprietary data without re-training. RAG is the dominant pattern for enterprise LLM applications.