Description: An in-depth overview exploring how Multi-Agent Retrieval-Augmented Generation (RAG) architecture transforms enterprise supply chain decision-making. The article explains how coordinating multiple specialized AI agents across distinct data domains—such as ERP systems, supplier databases, logistics tracking, weather signals, and trade compliance registries—overcomes single-agent limitations to deliver unified recommendations and move supply chain AI initiatives from pilot to production.
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Tag: Multi-Agent RAG,