(171a) From Data to Decisions: Revolutionizing Pharmaceutical Manufacturing with Generative AI and Multi-Agent RAG

This presentation details our innovative integration of Generative AI with an Agentic Retrieval-Augmented Generation (RAG) framework, tailored for the pharmaceutical manufacturing industry. By leveraging a sophisticated multi-agent platform, our workflow unifies diverse data types—including material specifications, process details, master batch records (MBR and EBR), and analytical reports—into a coherent system that transforms raw data into actionable insights.

A live demonstration will illustrate the development of an intelligent chatbot designed to enable seamless user interaction, facilitating prompt-driven searches and real-time retrieval of both structured data and expert insights. Each specialized agent in our network is engineered to analyze, process, and respond to queries with precision, collectively surpassing traditional RAG frameworks and significantly enhancing data-driven decision-making.

Attendees will gain an in-depth understanding of how multi-agent systems can streamline data synthesis and drive efficiency in pharmaceutical operations, setting a new standard for industry-specific AI applications.