RAG architecture

Introduction to RAG Architecture Retrieval-Augmented Generation ( RAG ) is an AI architecture designed to enhance Large Language Models (LLMs) by grounding them in external data . This innovative approach ensures that LLMs can provide more accurate and up-to-date responses by leveraging a combination of pre-trained knowledge and real-time information retrieval. How RAG Architecture Works RAG works by retrieving relevant facts from a proprietary knowledge base and injecting them into the model's prompt . This process prevents hallucinations, which occur when a model generates information that i…