This session will explore how to build smarter AI systems using multimodal Retrieval-Augmented Generation (RAG). We’ll begin by understanding the fundamental RAG workflow and how to effectively handle mixed-data documents. The session will then dive into advanced retrieval techniques and introduce the architecture behind multi-modal RAG systems. Participants will also get a hands-on walkthrough of implementing a real-world multi-modal RAG application.

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Agenda for the session

  • Understanding the basic workflow of RAG
  • Handling Mixed-Data Documents
  • Advanced Retrieval Techniques
  • Understand Multi-modal RAG Architecture and Hands-on implementation

About Speakers

Mr. Hassan Saidinejad

Data Scientist - Intact

  • 5+ years of experience in analytics and data science
  • PhD in Computer Science
  • Experienced in machine learning, deep learning, data analysis, visualization and academic research
  • Mentor with Great Learning

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