AI Agent Workflows: A Complete Guide on Whether to Build With LangGraph or LangChain

A comprehensive guide to LangChain and LangGraph, two popular frameworks for building Agentic AI applications. It discusses the key building blocks, how each framework handles core functionalities like tool calling, memory, RAG capabilities, parallelism, and error handling. LangChain is suitable for simpler, more predefined tasks, while LangGraph offers more flexibility for complex, non-linear workflows. The post provides insights on when to use each framework or a combination of both, based on the specific needs of the project.