Why Attend?

Retrieval-Augmented Generation (RAG) has rapidly emerged as a foundational architecture for enterprise Generative AI applications. While traditional Large Language Models (LLMs) offer impressive conversational capabilities, organizations continue to face critical challenges such as hallucinations, limited contextual understanding, fragmented enterprise knowledge, and lack of reliable reasoning across complex data ecosystems.

As enterprise AI adoption accelerates, organizations are now moving beyond traditional RAG pipelines toward more advanced architectures such as Agentic RAG and Graph RAG to build intelligent, context-aware, and scalable AI systems.

This webinar offers a structured and beginner-friendly journey from the fundamentals of Retrieval-Augmented Generation (RAG) to the next generation of AI retrieval architectures, including Agentic RAG and Graph RAG. The session will explore how modern AI systems retrieve, reason, plan, orchestrate workflows, and interact with both structured and unstructured enterprise knowledge sources.

What Makes This Webinar Different?

🔹End-to-end architecture journey — covers the full progression from basic RAG through Agentic RAG to Graph RAG in a single structured session, so you understand how and why each evolved.

🔹Practical over theoretical — real-world workflows, architecture patterns, and enterprise use cases replace abstract explanations. You’ll leave with implementation-ready insights.