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# 🦜️🔗 LangChain OpenTutorial
# 🦜️🔗 The LangChain Open Tutorial for Everyone

Overview, Tutorial, and Examples of [LangChain](https://github.com/langchain-ai/langchain)
This tutorial delves into [LangChain](https://github.com/langchain-ai/langchain), starting from an overview then providing practical examples.

While a [Korean version of the tutorial](https://github.com/teddylee777/langchain-kr) already exists, this tutorial offers:
[![status: experimental](https://github.com/GIScience/badges/raw/master/status/experimental.svg)](https://github.com/GIScience/badges#experimental)
[![licence: MIT](https://img.shields.io/badge/Licence-MIT-yellow.svg)](https://opensource.org/licenses/MIT "MIT License")

- **Translation for Global Users**: Adapted to serve a worldwide audience.
- **Expanded Content**: Covers the recently updated main features of LangChain and LangGraph, providing deeper insights and advanced topics.
- **Practical Case Studies**: Enriched with more real-world applications and examples to enhance practical understanding and utilization of LangChain.
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](https://github.com/teddylee777/langchain-kr) written in Korean.

This comprehensive resource aims to provide both new and existing users with up-to-date information and real-world applications to enhance their understanding and utilization of LangChain.
Within this new repository, we offer the following enhancements to benefit users of all skill levels:

## 📚 References
- [langchain-ai](https://github.com/langchain-ai/langchain) 📖
- [LangGraph GitHub](https://github.com/langchain-ai/langgraph)
- [LangChain Documentation](https://python.langchain.com/docs/introduction/)
- [OpenAI API Reference](https://platform.openai.com/docs/introduction) 🤖
- **Addressing global use cases** for internatial 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.

## 🔗 Useful Links
- **LangChain Korean Tutorial(wikidocs)**: [WikiDocs](https://wikidocs.net/book/14314)
- **LangChain Korean Tutorial(github)**: [GitHub Repository](https://github.com/teddylee777/langchain-kr)
- **YouTube Channel**: [Teddy Note](https://www.youtube.com/channel/UCt2wAAXgm87ACiQnDHQEW6Q) 🎥
- **Blog**: [Teddy Note](https://teddylee777.github.io) 📝
- **Playground**: [LangChain LLM Playground](http://llm.teddynote.com) 🎮
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.

## 🛠️ Contribution Process
### Step
1. **Content Development & Pull Request(PR)**: Create at least **one** existing or new content file (`.ipynb`). Optionally, add examples related to open LLMs. Then, Submit a PR with the developed content.
### Steps (in developing)
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](https://github.com/LangChain-OpenTutorial/LangChain-OpenTutorial/tree/main/99-TEMPLATE)
Expand All @@ -35,17 +27,34 @@ This comprehensive resource aims to provide both new and existing users with up-
4. **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.
5. **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.

## 📚 References
- [langchain-ai](https://github.com/langchain-ai/langchain) 📖
- [LangGraph GitHub](https://github.com/langchain-ai/langgraph)
- [LangChain Documentation](https://python.langchain.com/docs/introduction/)
- [OpenAI API Reference](https://platform.openai.com/docs/introduction) 🤖

## 🔗 Community Links
- **LangChain Korean Tutorial(wikidocs)**: [WikiDocs](https://wikidocs.net/book/14314)
- **LangChain Korean Tutorial(github)**: [GitHub Repository](https://github.com/teddylee777/langchain-kr)
- **YouTube Channel**: [Teddy Note](https://www.youtube.com/channel/UCt2wAAXgm87ACiQnDHQEW6Q) 🎥
- **Blog**: [Teddy Note](https://teddylee777.github.io) 📝
- **Playground**: [LangChain LLM Playground](http://llm.teddynote.com) 🎮

### Related Links
- [Dashboard](https://docs.google.com/spreadsheets/d/1Kt7BiKyuAoQeIks1v1V2ii6ri5WJqWZ1fS_oe0z4nsM/edit?gid=1162559766#gid=1162559766)
- [GitHub Collaboration Guide](https://docs.google.com/document/d/18VrmTq1o22rzjxZ4PEFaemo0lfXRK9vWsyQPEin7OfY/edit?tab=t.0#heading=h.il7lst7f5t57)
- [Github PR Example](https://github.com/LangChain-OpenTutorial/LangChain-OpenTutorial/pull/5)
- [meeting_1_kickoff](https://drive.google.com/file/d/1TqVonuyda6gnJkdSc-XpsqE6JkTmjquZ/view?usp=drive_link)
- [meeting_2_241228](https://docs.google.com/presentation/d/1xVJXCKV9OC4kQk3VKWL79KHitxcX-Mjj/edit#slide=id.p6)
- [meeting_3_250104](https://docs.google.com/presentation/d/1xVJXCKV9OC4kQk3VKWL79KHitxcX-Mjj/edit#slide=id.p6)

## Licence

Unless stated otherwise, the codebase is released under the [MIT Licence][1]. This covers both the codebase and any sample code in the documentation.

[1]: ./LICENCE

## 🌟 Contributors
[![Contributors](https://contrib.rocks/image?repo=LangChain-OpenTutorial/LangChain-OpenTutorial&max=2000)](https://github.com/LangChain-OpenTutorial/LangChain-OpenTutorial/graphs/contributors)
[![Contributors](https://contrib.rocks/image?repo=LangChain-OpenTutorial/LangChain-OpenTutorial&max=5000)](https://github.com/LangChain-OpenTutorial/LangChain-OpenTutorial/graphs/contributors)

<br/>
<p><a href="https://www.buymeacoffee.com/teddylee777"> <img align="left" src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" height="50" width="210" alt="teddylee777" /></a></p>
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