Data Engineering for the LLM Age

Large language models require high-quality data to perform effectively. The article explores essential data engineering practices for the LLM era, including data pipelines, specialized tools, and Retrieval-Augmented Generation (RAG) architecture. These technologies are critical for preparing data that enables AI systems to deliver superior results. Understanding modern dataengineering approaches is fundamental to building robust AI applications.