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Question 1 of 15
20:00
What problem does Retrieval-Augmented Generation (RAG) primarily solve?
It makes the model generate text faster by skipping tokenization
It grounds the model's responses in external, up-to-date, or domain-specific knowledge retrieved at query time, rather than relying solely on what was baked into training
It removes the need for a system prompt entirely
It replaces the need for an API key