RAG Foundations & Agentic AI: A Practical Deep Dive is an in-depth technical session designed to help participants understand how modern AI systems are built to be accurate, context-aware, and capable of taking intelligent actions. The session will begin with the foundations of Retrieval-Augmented Generation (RAG), explaining how large language models can be connected to external knowledge sources to reduce hallucinations and deliver reliable, real-time responses. It will then progress into Agentic AI, covering how AI agents reason, plan, use tools, maintain memory, and execute multi-step tasks autonomously. With a strong emphasis on practical architectures, real-world workflows, and industry use cases such as AI assistants, copilots, and automation systems, this session is ideal for anyone looking to move beyond theory and understand how intelligent AI systems are actually designed and implemented.

📅 Date: 29th December 2025
⏰ Time: 5:00 PM – 6:00 PM