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Question 3 of 28

What is Retrieval Augmented Generation (RAG)?

AA technique that fine-tunes an LLM on domain-specific data to improve response accuracy.
BA technique that retrieves relevant documents from a knowledge base at query time and appends them to the prompt, augmenting the LLM's context with up-to-date information.
CA technique that stores model weights in a vector database for faster inference.
DA technique that merges multiple LLMs into a single model to combine their knowledge.

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