Hosted By Vikramsinh Ghatge, AWS’ Suman Debnath Unpacks The Future Of Genai With Retrieval-Augmented Generation (RAG) On Techdogs’ Discover Dialogues
The Big Idea: AI That Retrieves Before It Generates
- (1888PressRelease) June 28, 2025 - Santa Clara, CA—TechDogs’ latest episode of Discover Dialogues, hosted by Vikramsinh Ghatge, Sr. Marketing Director and Editor-in-Chief at TechDogs, features Suman Debnath, Principal Developer Advocate for Machine Learning at Amazon Web Services (AWS), for an in-depth discussion on architecting modern AI using Retrieval-Augmented Generation (RAG).
Debnath, a globally recognized speaker across PyCon, ODSC, and AWS re:Invent, emphasizes that hallucinations in AI are not model flaws but retrieval failures. “If your librarian gives you the wrong book, no matter how hard you read it, you’ll never find the answer,” he explains, underlining the critical role of grounding GenAI systems in accurate, external data.
Key highlights from the conversation include:
RAG as a foundational GenAI strategy: Enhancing AI output by retrieving relevant, real-time data from PDFs, internal documents, or sensor feeds before generation.
Agentic RAG with vision-language models: Enabling AI agents to interpret visuals, read charts, and understand forms — vital for sectors like healthcare, logistics, and finance.
Introduction of Colpali: A forward-thinking approach for multimodal retrieval that supports intelligent decision-making across diverse data types.
Deployment strategies: Practical guidance using AWS tools such as Bedrock, SageMaker, and vector search to implement scalable GenAI infrastructure.
This episode delivers deep technical insight and strategic clarity for CXOs, engineers, and AI leaders focused on building accurate, enterprise-grade generative AI systems.
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