What is RAG (Retrieval Augmented Generation)?

A technique that enhances LLM responses by retrieving relevant documents from a knowledge base before generating an answer. RAG reduces hallucination and keeps responses grounded in factual data without retraining the model.

Why It Matters

RAG (Retrieval Augmented Generation) is a foundational concept in modern AI systems. Understanding it is essential for developers, researchers, and business leaders working with artificial intelligence.

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