Overview
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Learn to build and deploy scalable multi-agent question-answering systems using Enterprise RAG architecture optimized for CPU deployment in this 36-minute conference talk. Explore the modular architecture of the Linux Foundation's Open Platform for Enterprise AI (OPEA) project, where a supervisor agent coordinates specialized worker agents to retrieve and process information from multiple knowledge bases. Discover how RAG worker agents extract context from vector databases while SQL worker agents handle structured data from relational databases. Examine the complete system architecture and its components, with practical insights for implementing these solutions in production environments. Gain a comprehensive blueprint for deploying multi-agent systems across cloud platforms including AWS, GCP, and Azure, as well as on-premises infrastructure, making this session valuable for developers and technologists working with enterprise AI solutions.
Syllabus
From Theory To Deployment: Building Scalable Multi-Agent Question-Answering Syste... Takeru Tsuchiya
Taught by
Linux Foundation