

Langgaph Course
Overview :
This is an advanced application course focused on LangGraph, providing implementations of Reflective RAG, Self-RAG, and Adaptive RAG, designed to help developers and technical personnel in production environments leverage LangGraph.
Target Users :
This course is aimed at developers and technical personnel in production environments who need an easy-to-understand and apply LangGraph course to improve their development efficiency and application stability.
Use Cases
Developers use langgaph-course to learn how to integrate LangGraph into their projects.
Technical personnel in production environments use this course to optimize existing LangGraph applications.
Educational institutions utilize langgaph-course as teaching material to instruct students on advanced applications of LangGraph.
Features
Refactored Notebooks: Refactored notebooks enhance code readability, maintainability, and usability.
Production-Oriented: The codebase is designed with production readiness in mind, helping developers transition seamlessly from experimentation to deployment.
Test Coverage: Comprehensive test coverage ensures the reliability and stability of the application.
Documentation: Detailed documentation and branch guides assist developers in setting up the environment, understanding the codebase, and effectively using LangGraph.
Environment Variables: Environment variables are required to run the project.
Run Locally: Instructions for running the project locally.
Running Tests: Commands for running tests.
How to Use
1. Clone the project to your local environment.
2. Enter the project directory.
3. Install dependencies.
4. Set environment variables according to the documentation.
5. Start the Flask server.
6. Run tests to validate the implementation.
7. Modify and extend the codebase as needed.
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