This repository provides a structured learning path for the LangChain ecosystem, focusing on foundational concepts and advanced themes within LangGraph. It's designed for developers and researchers looking to deepen their understanding and practical application of LangChain's capabilities, particularly in building complex, stateful applications with LangGraph.

How It Works

The project is organized into modules, each containing Jupyter notebooks and accompanying "studio" subdirectories. These modules guide users through LangChain concepts, with a specific emphasis on LangGraph. The "studio" folders contain example graphs that can be explored and tested using the LangGraph API and its local development server, facilitating hands-on learning and experimentation with agentic workflows.

Quick Start & Requirements

• Install: Clone the repository and install dependencies using pip install -r requirements.txt within a Python 3.11+ virtual environment.
• Prerequisites: Python 3.11 or later, OpenAI API key, LangSmith API key, and optionally a Tavily API key for web search functionalities.
• Setup: Requires setting environment variables for API keys (e.g., OPENAI_API_KEY, LANGCHAIN_API_KEY, TAVILY_API_KEY). Local LangGraph Studio development server can be started with langgraph dev in module-specific studio directories.
• Resources: Links to LangChain, LangGraph, LangSmith, and Tavily documentation are provided.

Highlighted Details

• Comprehensive modules covering foundational LangChain concepts and progressive LangGraph themes.
• Includes example graphs for local testing and exploration via LangGraph Studio.
• Practical guidance on setting up environment variables and API integrations.
• Focus on stateful applications and complex agentic workflows.

Maintenance & Community

This repository is part of the langchain-ai organization, indicating official support and development from the LangChain team. Further community engagement details are not explicitly provided in the README.

Licensing & Compatibility

The repository's license is not specified in the provided README. Compatibility for commercial use or closed-source linking would depend on the actual license.

Limitations & Caveats

The README explicitly states Python 3.11+ is required for optimal compatibility, implying potential issues with older versions. Some lessons, specifically in Module 4, rely on the Tavily API for web search.