Autonomous Agents Powered by RAG and GraphRAG
Autonomous Agents Powered by RAG and GraphRAG Deep Dive” is a comprehensive twoday workshop that equips senior developers, architects, and technology leaders with the frameworks, tools, and best practices needed to design and implement a futureready enterprise architecture. Focusing on the integration of RetrievalAugmented Generation (RAG), GraphRAG, generative AI models, vector/graph databases, and intelligent decisionmaking, the workshop helps participants understand how to leverage advanced AI capabilities for predictive insights, operational agility, and continuous innovation. By combining foundational EA principles with cutting edge AI driven strategies, attendees will leave prepared to navigate and shape the rapidly evolving technological landscape.
In an era where AI shapes both strategy and operations, organizations must evolve their enterprise architectures to remain competitive, agile, and innovative. This twoday immersive workshop delves into the next generation of enterprise architecture—Enterprise Architecture 4.0—where autonomous agents, RAGbased reasoning, and GraphRAGdriven knowledge retrieval redefine traditional blueprints. Participants will explore the seamless integration of generative AI models, vector and graph databases, and predictive analytics into standard EA frameworks, while addressing governance, compliance, and change management challenges.
DAY ONE lays the groundwork, connecting classical EA frameworks and digital business architectures with AIdriven methodologies. Attendees learn how to incorporate generative AI, predictive analytics, and assistive coding tools like Copilot GPT into their architecture roadmaps, ensuring data quality and ethical AI practices.
DAY TWO focuses on operationalization: participants discover how to implement cloudnative infrastructures, establish robust governance structures, and leverage RAG and GraphRAG pipelines for autonomous agents that deliver realtime intelligence, contextually aware responses, and scalable solutions.
By blending foundational theory with handson exercises, industry case studies, and forwardlooking roadmapping, the workshop provides actionable insights for professionals aiming to build AIinfused, futureproof architectures. Attendees emerge with the skills and confidence to lead their organizations through rapid technological shifts, unlocking new value streams and sustaining longterm strategic advantage.
About Rohit Bhardwaj
Rohit Bhardwaj is a Director of AI & Data Architecture at Salesforce, where he focuses on enterprise AI, agentic systems, cloud-native architecture, distributed systems, data platforms, security, and large-scale transformation.
Over his career, Rohit has designed and led complex enterprise platforms across AWS, Google Cloud, microservices, real-time data, API ecosystems, resilient distributed systems, and AI-enabled architectures. His work increasingly focuses on the challenges enterprises face as software evolves from deterministic services to AI-native and agentic systems—particularly around reliability, governance, evidence, security, observability, cost, and safe autonomy.
Rohit is the author of System Design with AI Interview Guide: Designing Scalable, Agentic, and Defensible Systems, published by Apress. The book presents a modern approach to system design covering scalability, distributed systems, AI architecture primitives, security, reliability, economics, agentic systems, and real-world architectures including e-commerce, ride sharing, payments, fraud detection, messaging, video streaming, file storage, and search. (Springer Link)
Book:
Amazon: https://a.co/d/09Zs1twa
Publisher / Springer Nature: https://link.springer.com/book/10.1007/979-8-8688-2782-2
O'Reilly: https://learning.oreilly.com/library/view/system-design-with/9798868827822/
Rohit is also an O’Reilly instructor and a frequent speaker at technology conferences including No Fluff Just Stuff, UberConf, GIDS, and other international events. His talks focus on practical architecture lessons from building and operating complex systems, including AI control planes, trusted agents, inference at scale, evidence-first RAG, AI security, distributed-system failure, and AI-era software architecture.
As a trusted advisor and architecture leader, Rohit works at the intersection of business strategy and deep technical architecture—helping teams translate complex business problems into scalable, resilient, secure, and economically sustainable systems.
Rohit holds an MBA in Corporate Entrepreneurship from Babson College and graduate-level education in Computer Science from Boston University and Harvard University.
Connect with Rohit:
LinkedIn: http://linkedin.com/in/rohit-bhardwaj-cloud
X / Twitter: @rbhardwaj1