PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers

Decision-making is critical for organizations, involving data analysis and selecting the most suitable alternative to achieve specific goals. In business scenarios like pharmaceutical distribution networks, companies face complex decisions such as determining which plants to operate, how many employees to hire, and optimizing production costs while ensuring timely delivery. The decision-making task traditionally requires three […]

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