Suman Debnath, Principal Developer Advocate At AWS On Architecting Modern AI With RAG

In this exciting episode of Discover Dialogues, Nikhil Sonawane, Media Relation lead at TechDogs sit down with Suman Debnath, Principal Developer Advocate for Machine Learning at Amazon Web Services (AWS), to unpack the next evolution of AI — Retrieval-Augmented Generation (RAG) and Multimodal AI Agents.

What We Talk About:
So what is RAG and why is everyone in AI talking about it?
Suman explains it beautifully: “If the librarian hands you the wrong book, no amount of reading will help you find the answer.” In the world of GenAI, that librarian is your retrieval system — and if it’s not bringing back the right context, even the best large language model will hallucinate or mislead.

But that’s just the beginning. We go deep into Agentic RAG, a term that sounds complex but boils down to something essential — building smarter, self-reliant agents that know when and how to retrieve, reason, and act.
With Suman’s insights, we explore Colpali, a unique retrieval framework for multimodal data. From vision-language models to hybrid retrieval systems, he makes it crystal clear why AI needs to go beyond just text.

What You’ll Learn:
• What is RAG and why it's essential for reducing AI hallucination
• How Agentic RAG is reshaping the way vision-language models work
• A deep dive into Colpali, a new approach for multimodal retrieval
• Why Amazon Bedrock is a game-changer for developers
• Real-world steps to scale enterprise AI systems using AWS infrastructure

Who Should Watch This:
• Business leaders looking to adopt GenAI
• Developers and data scientists exploring RAG architectures
• Decision-makers evaluating AWS tools like Bedrock, SageMaker, and vector databases
• Anyone curious about building AI agents that actually scale

Timestamp:
00:00 Introduction
02:12 Professional Journey
13:40 Understanding Retrieval-Augmented Generation(RAG)
22:38 Multimodal AI & Real-World Applications
37:43 AWS Bedrock & The Future of AI Across Industries
43:15 Rapid Fire

About the Guest:
Suman Debnath is a seasoned technologist and Principal Developer Advocate at AWS. He has delivered over 100 keynotes and workshops worldwide and now leads machine learning advocacy through tools like Bedrock, SageMaker, and vector search. His work focuses on making AI practical and scalable for real-world enterprise challenges.

Like what you hear? Subscribe, share, and leave your thoughts in the comments. This conversation is for the curious, the builders, and the decision-makers shaping the future.


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#RAG #GenAI #AWS #SumanDebnath #DiscoverDialogues #MultimodalAI #AmazonBedrock #AIInfrastructure #EnterpriseAI #TechDogs

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