Retrieval-Augmented Generation (RAG)

Retrieval-Augmented Generation (RAG) is an AI framework that improves the accuracy and reliability of Large Language Models (LLMs) by combining real-time information retrieval with natural language generation. It helps overcome hallucinations, enhances factual accuracy, and enables domain-specific knowledge applications.