Unlocking Intelligent Systems: RAG & AI Agents

Discover the transformative potential of AI agents - dynamic, LLM-powered workflows that adapt in real-time, overcoming rigid constraints of traditional control logic

Learn how AI agents efficiently handle complex queries, coordinate multi-step processes, and make informed decisions with minimal human intervention

Explore building multi-agent systems using LangGraph that communicate, collaborate, and self-correct to navigate complex scenarios with precision

Understand strategies for integrating existing systems like SQL databases and REST APIs into agentic applications for seamless interaction with AI-driven automation

Gain insights from Sibin Bhaskaran, a seasoned Solution Consultant with expertise in backend development, mobility solutions, RPA, and machine learning