Machine Learning Engineer / Data Scientist
Alvin has 5+ years of experience in data & AI. He has worked in startups (Chatbot & Retrieval Engine, Crypto AI), IT research labs, & corporate environments (Financial Sector), giving him a broad perspective on data team operations across various environments & fields. His stack spans from Data Science (PyTorch, Scikit-learn, MongoDB, SQL), LLM frameworks (LangChain, LlamaIndex, LangGraph) to daily cloud operations and analytical dashboards. Although experienced with diverse tools, he believes that technology stacks are merely instruments to solve real problems. He now works at Artefact, one of the world's leading data science consulting firms.
Agentic AI marks the next stage in chatbot development — where systems go beyond simple responses to reason, plan, and carry out complex tasks autonomously. This guide walks through how to build intelligent, task-oriented agents using the LangGraph framework.
In this article we will explore the foundational things need to know about building agentic AI chatbots with LangGraph. It will be continously updated by involving a real use case in near time.