Explain Retrieval Augmented Generation. How does RAG work, and what are its components? When should you use RAG instead of relying on the LLM's parametric knowledge?

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Retrieval Augmented Generation combines LLMs with external knowledge retrieval to ground responses in specific, up-to-date information. Instead of relying solely on knowledge encoded in model parameters during training, RAG fetches relevant documents at inference time and…