https://github.com/jkmaina/langgraphprojects
This is the official companion repository for the book The Complete LangGraph Blueprint: Build 50+ AI Agents for Business Success. The repository provides source code, practical examples, and resources to help you build dynamic AI agents using LangGraph, a cutting-edge graph-based framework for artificial intelligence workflows.
https://github.com/jkmaina/langgraphprojects
langchain langchain-python langgraph langgraph-chabot langgraph-python langgraph-template python
Last synced: 2 months ago
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This is the official companion repository for the book The Complete LangGraph Blueprint: Build 50+ AI Agents for Business Success. The repository provides source code, practical examples, and resources to help you build dynamic AI agents using LangGraph, a cutting-edge graph-based framework for artificial intelligence workflows.
- Host: GitHub
- URL: https://github.com/jkmaina/langgraphprojects
- Owner: jkmaina
- License: other
- Created: 2025-01-08T04:34:04.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-01-11T14:46:47.000Z (4 months ago)
- Last Synced: 2025-01-20T00:39:04.274Z (4 months ago)
- Topics: langchain, langchain-python, langgraph, langgraph-chabot, langgraph-python, langgraph-template, python
- Language: Python
- Homepage: https://www.amazon.com/Complete-LangGraph-Blueprint-Business-Success-ebook/dp/B0DP69QV7K
- Size: 3.17 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
- License: LICENSE
- Audit: audit_data_monitor.log
Awesome Lists containing this project
README
# The Complete LangGraph Blueprint: Build 50+ AI Agents for Business Success
[](https://www.amazon.com/Complete-LangGraph-Blueprint-Business-Success-ebook/dp/B0DP69QV7K)
Welcome to the official repository for **The Complete LangGraph Blueprint**, authored by James Karanja Maina. This book guides you through creating 50+ AI agents for real-world business applications using LangGraph and other cutting-edge AI tools.
---
## About the Book 📚
This project is a comprehensive guide to building AI agents using LangGraph, an open-source framework for graph-based AI workflows. It covers fundamental programming concepts, LangGraph principles, and step-by-step tutorials to develop intelligent, autonomous systems. Whether you're a beginner or an experienced developer, this book provides everything you need to harness AI for innovation and success.
---
## Why Buy This Book? 🎯
- **Exclusive Knowledge**: Master the techniques for building 50+ AI agents.
- **Hands-On Learning**: Follow detailed examples and exercises to build your AI agents step by step.
- **Real-World Applications**: Learn how to solve practical business problems with AI.
- **Expert Guidance**: Written by an industry expert with a wealth of experience in AI and automation.
👉 [Get your copy now on Amazon!](https://www.amazon.com/Complete-LangGraph-Blueprint-Business-Success-ebook/dp/B0DP69QV7K)
---
## Key Features 🚀
- **50+ AI Agents**: Build and customize AI agents with dynamic decision-making and tool integration.
- **Graph-Based AI Workflows**: Learn how to create workflows using nodes, edges, states, and conditions.
- **LLM Integration**: Leverage Large Language Models like GPT-4 for natural language understanding.
- **Tool Nodes**: Integrate APIs and external systems into your AI agents.
- **Memory & Persistence**: Implement short-term and long-term memory for enhanced user experiences.
- **Use Cases**: Apply your skills across industries like customer service, healthcare, and finance.
- **Practical Exercises**: Reinforce learning with hands-on coding examples.
---
## Project Structure 🗂
The repository is organized as follows:
```
LANGGRAPHPROJECTS/
├── chapter1/ # Code for Chapter 1
├── chapter2/ # Code for Chapter 2
├── chapter3/ # Code for Chapter 3
├── chapter4/ # Code for Chapter 4
├── chapter5/ # Code for Chapter 5
├── chapter6/ # Code for Chapter 6
├── chapter7/ # Code for Chapter 7
├── chapter8/ # Code for Chapter 8
├── chapter9/ # Code for Chapter 9
├── chapter10/ # Code for Chapter 10
├── chapter11/ # Code for Chapter 11
├── chapter12/ # Code for Chapter 12
├── chapter13/ # Code for Chapter 13
├── chapter15/ # Code for Chapter 15
├── chapter16/ # Code for Chapter 16
├── chapter17/ # Code for Chapter 17
├── chapter18/ # Code for Chapter 18
├── chapter19/ # Code for Chapter 19
├── chapter20/ # Code for Chapter 20
├── output/ # Generated outputs and artifacts
├── testing/ # Unit tests and experimental workflows
├── .env # Environment configuration file
├── .gitignore # Git ignored files
├── data.json # Sample data for workflows
├── display_graph.py # Visualization script for LangGraph workflows
├── graph_24371.png # Example graph visualization
├── graph_80385.png # Example graph visualization
├── lesson4.py # Lesson 4 code file
├── lesson5.py # Lesson 5 code file
└── README.md # Project documentation (this file)
```
---
## Getting Started 🚦
### Prerequisites
- **Python 3.10+**: Install from [python.org](https://www.python.org/downloads/).
- **Dependencies**: Install required libraries like `langgraph`, `langchain`, and `openai`.
```bash
pip install langgraph langchain_openai python-dotenv
```
---
### Setting Up Your Environment
1. Clone the repository:
```bash
git clone https://github.com/jkmaina/LangGraphProjects.git
cd langgraph-blueprint
```
2. Create a virtual environment:
```bash
python -m venv langgraph_env
source langgraph_env/bin/activate # On Linux/macOS
langgraph_env\Scripts\activate # On Windows
```
3. Install dependencies:
```bash
pip install -r requirements.txt
```
4. Add your OpenAI API key:
- Create a `.env` file in the root directory:
```
OPENAI_API_KEY=your-api-key-here
```
---
### Running Your First AI Agent
- Navigate to the `/chapter1/lesson1a.py` directory.
- Run the Hello World LangGraph workflow:
```bash
python lesson1a.py
```
---
## Contributing 🤝
Contributions are welcome! Submit issues, feature requests, or pull requests to improve this project.
---
## License 📝
This repository is licensed under the Apache 2.0 License. See the `LICENSE` file for details.
---
## Support and Resources 📚
- **Book Updates and Code Samples**: Subscribe for updates and new content at [[email protected]](mailto:[email protected]).
- **Community Discussions**: Join the conversation on LangGraph workflows, agent designs, and AI tools.
- **LangGraph Documentation**: [Official LangGraph Docs](https://langgraph.docs.example)
Happy Coding! 🎉