All About LangGraph

This repository contains my experiments and exercises while learning LangGraph through the freeCodeCamp LangGraph course.

The goal was to understand how to build stateful LLM workflows and agents using graphs.

What You'll Find

• Basic LangGraph concepts implemented in notebooks
• Practice exercises from the course
• Small agent implementations using LangGraph
• Experiments with routing, loops, and state management

Repository Structure

.
├── Hello_World.ipynb
├── Sequential-Graph.ipynb
├── Conditional-Graph.ipynb
├── Looping-Graph.ipynb
├── Exercise-*.ipynb
│
├── ChatGPT-Quest/
│   └── Practice notebooks for graph concepts
│
└── Agents/
    ├── Chatbot.py
    ├── ReAct.py
    ├── RAG.py
    └── Other agent experiments

Requirements

langgraph
langchain
langchain-openai
python-dotenv
jupyter

Learning Source

freeCodeCamp LangGraph Course

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Just a small repo where I explored how LangGraph works and built a few simple agents along the way.