Vanilla RAG is a straight line; Agentic RAG is a loop. This session is a dive into the architecture of the next generation of AI search. We will explore how to give your RAG system a "brain" using a Planner/Worker pattern, enabling it to handle multi-step reasoning and tool orchestration.

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Agenda for the session

  • Why Vanilla RAG Breaks and when you need an agent?
  • Core Architecture of Agentic RAG
  • Components Breakdown: Retriever Layer, Agent Layer, and Memor
  • Business use case for Agentic RAG and hands -on demo

About Speakers

Anjana Agrawal

Entrepreneur | IoT, Big Data, Business Analytics & IT/Operations Consultant

A seasoned professional with 30+ years of expertise in data science, strategy, and business transformation. Skilled in advanced statistical modeling, machine learning, NLP, and big data analytics. Recognised kaggle competition expert with top global rankings. Combines deep expertise as a management consultant, technical architect, and quality leader (ISO, CMMi, Six Sigma) with a strong track record in digital transformation, cloud, SOA, and social media analytics

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