Author(s): Sandip Palit
Originally published on Towards AI.
The landscape of Artificial Intelligence has shifted dramatically over the past couple of years. We are no longer simply chatting with isolated Large Language Models (LLMs) to generate text or summarize documents. Instead, the industry has aggressively moved toward Agentic Workflows, systems where LLMs act as the reasoning engine within a structured, multi-step process, capable of making decisions, routing information, and executing tasks autonomously.
To build these robust systems, developers need tools that can manage complex control flows, maintain state across multiple interactions, and ensure that the outputs from the LLM are predictable and strictly formatted. This brings us to the modern AI stack demonstrated in this guide: LangGraph, LangChain, Groq, and Pydantic.
In this comprehensive blog post, we will explore every theoretical concept required to understand how to build a fully automated, intelligent customer review triage system.
