What is RAG? Retrieval Augmented Generation Guide

RAG (Retrieval Augmented Generation) revolutionizes how AI systems deliver accurate, up-to-date information by combining the power of large language models with external knowledge sources. Instead of relying solely on training data, RAG systems retrieve relevant information from databases, documents, and proprietary knowledge bases before generating responses. This approach dramatically reduces AI hallucinations, enables access to current information, and allows businesses to leverage AI with their specific data without expensive model retraining. Whether you’re using ChatGPT, Claude, Google Gemini, or Microsoft Copilot, understanding RAG implementation transforms how you deploy AI in customer support, internal knowledge management, and data-driven decision-making. Westech’s IT consulting experts help South African businesses implement RAG systems that deliver measurable results while maintaining data security and compliance. Read our full article here.