LangGraph-learn

The project is for understanding LangGraph-GUI-backend .

Welcome to LangGraph-learn, a community-driven project aimed at mastering LangGraph and other AI-related topics. This repository provides a variety of hands-on examples and resources to help you learn how to create and manage language model workflows using LangGraph and related tools.

Table of Contents

• Introduction
• Getting Started
• Community Guidelines
• Contributing
• License

Introduction

LangGraph-learn is designed to foster a collaborative learning environment for individuals interested in AI and machine learning. Our goal is to provide practical examples and tutorials that demonstrate how to use LangGraph, LangChain, and other related tools to build efficient and reusable workflows involving language models.

Getting Started

To get started with LangGraph-learn, you will need to set up your environment. Here are some general steps:

1. Install Python 3.11: Ensure you have Python 3.11 installed on your machine.

2. Install Required Packages: Depending on the examples you are working with, you may need the following Python packages:

   • langgraph
   • langchain-community
   • langchain-core
   • httpx
   • tenacity<8.4.0

   You can install these packages using pip:

   pip install langchain langchain-community langchain-core ollama chromadb langgraph

   Please bear in mind, this is generic and will be updated in all sub folders as needed.

3. Set Up Local Language Models: Some examples may require local language models such as ChatOllama. Follow the instructions in the relevant example directories to set up these models.

Community Guidelines

Our community thrives on collaboration and mutual respect. Here are a few guidelines to help maintain a positive and productive environment:

• Be Respectful: Treat everyone with respect and kindness. Discriminatory or offensive behavior will not be tolerated.
• Collaborate: Share your knowledge, help others, and work together on projects.
• Learn and Teach: Engage with the content, ask questions, and offer guidance to others when possible.
• Contribute: We welcome contributions! Whether it's a new example, bug fix, or documentation improvement, your input is valuable.

Contributing

We welcome contributions to LangGraph-learn! If you have an example, improvement, or any other contribution, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or fix.
3. Make your changes and commit them with clear and concise messages.
4. Open a pull request with a description of your changes.

For more detailed information, please refer to our Contributing Guidelines.

License

This project is licensed under the MIT License. See the LICENSE file for details.