LangChain vs LangGraph: How to Choose the Right Framework!

Description

Confused about LangChain and LangGraph? This tutorial breaks down the key differences between these two powerful AI frameworks with hands-on code examples. What You'll Learn: - LangChain basics - linear workflows for simple tasks - LangGraph fundamentals - cyclic workflows for complex agents - When to use each framework - Real code comparison with the same task implemented both ways - How agents loop and iterate in LangGraph vs single-pass in LangChain Perfect for: Developers building with LLMs, AI engineers, and anyone exploring agentic AI systems. Key Difference: LangChain = Linear pipelines (A→B→C). LangGraph = Cyclic graphs with loops and conditionals (Agent ⇄ Tools). Complete code examples below. LangChain RAG Tutorial: https://github.com/pavanbelagatti/LangChain-SingleStore-Package/blob/main/LangChain-SingleStore-Package.ipynb Agentic Workflow Tutorial: https://github.com/pavanbelagatti/LangGraph-Agentic-Tutorial/blob/main/LangGraph-SingleStore-WebSearch.ipynb