Session
AI Agents + RAG = Smarter Responses
Step into the future of AI-driven conversations with Agentic RAG (Retrieval-augmented generation) —a game-changing approach that makes AI smarter, faster, and more adaptable. By combining large language models with real-time data retrieval from vector databases, this powerful pipeline delivers contextually rich and accurate responses like never before. Learn how Agentic RAG works and how it can transform your projects.. Whether you're building for customer service, legal tech, or beyond, Join us as we walk through a step-by-step demo on building an Agentic RAG system in JavaScript.
Ron Dagdag
R&D Engineering Manager at 7-Eleven and Microsoft AI MVP
Fort Worth, Texas, United States
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