Building an Enterprise AI Assistant with Multi-Agent RAG (AIFAQ Lab)

Learn how AIFAQ Lab turns scattered enterprise knowledge into secure, conversational workflows using multi-agent Retrieval-Augmented Generation (RAG). In 90 minutes, we’ll cover the reference architecture, data governance patterns, our Snowflake-native application, and a live demo of agent collaboration where you will build your own private knowledge base to assist your community.

## Who Should Attend

• Project Maintainers and SIG Chairs
• Engineering & Data Leaders: CTOs, Heads of Data/AI, Platform Engineers
• Builders: ML/AI engineers, Data engineers, Solutions architects
• Domain Teams: Product, Support/Success, Compliance & Security stakeholders