Join us for an immersive DevDay, where we’ll delve into two cutting-edge areas in AI development such as Retrieval-Augmented Generation (RAG) and AI Agents. This event is designed to provide hands-on experience and deep insights into building intelligent systems.

Session 1: Building a RAG Chatbot
This will be a practical, hands-on workshop where you’ll learn to create a fully functional RAG chatbot. Lohit and Rohan will guide you through the process of integrating retrieval-based and generative AI techniques, combining the strengths of LLMs with vector databases to build efficient and responsive chatbots. Starting from scratch and working step-by-step through the essentials, including prompt engineering and retrieval mechanisms, attendees will learn the skills to deploy these systems in real-world applications.

Session 2: AI Agents: Understanding the What, Why, and How of Intelligent Systems
In the second session, we’ll dive into the evolving world of AI agents—dynamic, LLM-powered workflows that reason, plan, and act based on interim outputs. You’ll learn how AI agents are redefining task complexity management, tackling limitations of traditional control logic, and handling advanced queries with adaptability. Through frameworks like LangGraph and Crew AI, participants will discover how to build multi-agent systems that can autonomously handle complex scenarios while maintaining flexibility and precision.