What is Retrieval-Augmented Generation (RAG) ? Retrieval-Augmented Generation (RAG) is a cutting-edge workflow that enhances Large Language Models (LLMs) by integrating external knowledge during runtime. Unlike traditional language models, which rely solely on pre-trained data (often outdated or limited), RAG dynamically retrieves relevant documents from a knowledge base—such as vector databases, document repositories, or APIs—to … Continue reading Automating Retrieval-Augmented Generation (RAG) Pipelines with Bash