This tutorial delves into LangChain, starting from an overview then providing practical examples.

The LangChain community in Seoul is excited to announce the LangChain OpenTutorial, a brand-new resource designed for everyone. This tutorial builds upon the foundation of the existing tutorial available here: link written in Korean.

Within this new repository, we offer the following enhancements to benefit users of all skill levels:

• Addressing global use cases for international users,
• Diving deep into cutting-edge features including the recent updates available at the latest version of LangChain and LangGraph release, and
• Demonstrating additional goodies that showcase real-world uses and further applications.

At this base repository, it serves as a home for both beginners and seasoned LangChain users. The tutorial whould provide a roadmap for learning LangChain, while also offering a valuable refresher for those already familiar with its functionalities.

1. Open a Pull request (PR): Develop at least one existing or new content file (.ipynb). Optionally, add examples related to open LLMs. Then, Submit a PR with the developed content.
   - Note: Self-Check Before PR Submission (Recommended)
   • License Compliance & Copyright Issues: Verify that all dataset and content comply with licensing requirements. Confirm that there are no copyright infringements.
   • Template Compliance: Follow the provided templates in Korean or in English
   • Execution Platform: Individual files should be executable on Google Colab.
   • Specifications Submission (if Required): If using open models or additional packages, specify the required environment to Infra Team.
2. Team Peer Reviews: Assign at least two team members as reviewers. Reviewers will evaluate the code and content quality and check tutorials are compatible with Mac, Windows, and Linux environments. Approve the Pull Request if there are no issues.
3. Merge Pull Request: Once the Pull Request has been approved by more than two reviewers, the original author can merge the PR into the 'main' branch.
4. Proofreading: During the following week, the proofreading team will review the submitted content for typos, template compliance, and proper citations. If the proofreading team requests any modifications, the original author must make the necessary corrections and resubmit the PR.

• langchain-ai 📖
• LangGraph GitHub
• LangChain Documentation

Unless stated otherwise, the codebase is released under the MIT Licence. This covers both the codebase and any sample code in the documentation.

✨ Want to join? Add your info and submit a PR!