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🤖 Can’t Decide Between LangChain and LangGraph? This Guide Will Help
If you’ve dipped your toes into the world of AI app development, you’ve likely come across LangChain. And if you’ve been following the evolution of multi-agent systems or stateful workflows, LangGraph might have entered your radar too.
But with both tools created by the same team — and both offering ways to build AI-powered apps — choosing the right one can get confusing.
This guide is here to clear the fog. By the end, you’ll know exactly:
- What each tool does
- When to use LangChain or LangGraph
- The mindset you need for building with agents
- Real examples to help you choose confidently
🧱 What is LangChain?
LangChain is a framework for developing applications powered by large language models (LLMs). It’s essentially a toolkit that allows you to string together prompts, tools, memory, and retrieval systems into something usable and intelligent.
Think of it like a smart scripting engine for LLMs — you give it steps, tools, and inputs, and LangChain helps orchestrate the sequence.
You can build:
- Chatbots with memory
- Retrieval-augmented…
