LangChain vs LangGraph : How LangGraph Complements LangChain | Agentic AI Architecture Explained

Description

In this video, we break down LangChain and LangGraph—two of the most important frameworks for building LLM-powered and agentic AI systems. You’ll learn: What problem LangChain solves in AI application development Why LangGraph was introduced and where chains fall short How stateful, graph-based orchestration enables multi-agent workflows When to use LangChain alone and when to add LangGraph Real-world examples of production-ready agent architectures If you’re an AI engineer, architect, tech lead, or decision maker working on Generative AI or Agentic AI systems, this video will give you the right mental model to design scalable and maintainable AI workflows. 🔔 Subscribe for deep dives on Agentic AI, LLM architecture, system design, and leadership in AI.