In this talk, we will explore Agentic Retrieval-Augmented Generation, or Agentic RAG, a groundbreaking method that enhances Large Language Models (LLMs) by combining intelligent retrieval with autonomous agents. We will discover how Agentic RAG leverages advanced agentic behaviors such as reflection, planning, tool use, and multiagent collaboration to dynamically refine retrieval strategies and adapt workflows, significantly improving real-time responsiveness and complex task management
About the Speaker:
Aditi Singh is an Assistant College Lecturer in the Department of Computer Science at Cleveland State University, Cleveland, Ohio. She earned her M.S. and Ph.D. in Computer Science from Kent State University. She was awarded a prestigious Gold Medal for academic excellence during her undergraduate studies. Her research interests include Artificial Intelligence, Large Language Models (LLM), and Generative AI. Dr. Singh has published over 25 research papers in these fields.
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