RAG (Retrieval-Augmented Generation) works by pulling relevant context from external sources before answering. Studies s

LLMRAG

RAG (Retrieval-Augmented Generation) works by pulling relevant context from external sources before answering. Studies show it cuts hallucination rates by up to 40% compared to standalone LLMs. The retrieval step grounds responses in verified data, making AI outputs significantly more accurate. Source: aiddailypulse.com