World's Fair

Suman Debnath - Agentic RAG with Vision Language Models

Discover the transformative potential of Multimodal Agentic Retrieval-Augmented Generation (RAG) in this hands-on workshop. Participants will explore the integration of advanced AI engineering techniques with Amazon Nova to build systems that leverage text and image embeddings, LangChain, and Amazon Bedrock for creating context-aware multimodal AI agents. The workshop focuses on the practical application of Multimodal RAG to automate complex workflows, such as insurance claim optimization, through enhanced decision-making and operational efficiency.

Date
Time
Track
Workshops
Room
AWS JFK27 (12 W 39th St) 200/201 - entrance 39th St & 5th Ave, large gold doors, bring ID

Discover the transformative potential of Multimodal Agentic Retrieval-Augmented Generation (RAG) in this hands-on workshop. Participants will explore the integration of advanced AI engineering techniques with Amazon Nova to build systems that leverage text and image embeddings, LangChain, and Amazon Bedrock for creating context-aware multimodal AI agents. The workshop focuses on the practical application of Multimodal RAG to automate complex workflows, such as insurance claim optimization, through enhanced decision-making and operational efficiency.

This workshop will provide attendees with step-by-step guidance to:

  • Build multimodal AI agents that process text, images, and video.
  • Implement sophisticated retrieval systems using Amazon Nova and LangChain.
  • Create real-world applications leveraging Bedrock-powered agents and knowledge bases.
  • Attendees will leave with a solid understanding of building and deploying Multimodal RAG systems that integrate seamlessly into enterprise frameworks, paving the way for innovation in AI-powered solutions.

Suman Debnath

Suman Debnath
Suman Debnath

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