Retrieval-Augmented Large Language Models for Real-Time Supply Chain Disruption Intelligence and Decision Support
Large language models offer unprecedented analytical capability, but their knowledge is frozen at the last training date — rendering them unusable for organizations whose mission depends on emerging, timely information [1]. This paper argues that retrieval-augmented generation is the missing mechanism that converts LLM...