LangChain-OpenTutorial and langchain-kr

These are complementary resources serving different language communities—the English-language open tutorial and the Korean-language tutorial both teach LangChain fundamentals but target non-overlapping audiences, making them mutually reinforcing rather than competitive.

LangChain-OpenTutorial
62
Established
langchain-kr
53
Established
Maintenance 2/25
Adoption 10/25
Maturity 25/25
Community 25/25
Maintenance 2/25
Adoption 10/25
Maturity 16/25
Community 25/25
Stars: 1,007
Forks: 324
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 1,991
Forks: 727
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stale 6m
Stale 6m No Package No Dependents

About LangChain-OpenTutorial

LangChain-OpenTutorial/LangChain-OpenTutorial

LangChain, LangGraph Open Tutorial for everyone!

This tutorial helps developers learn how to build applications using LangChain and LangGraph. It starts with an overview of these frameworks and provides practical examples, covering new features and real-world applications. The tutorial takes conceptual knowledge and turns it into executable code for building large language model (LLM) powered tools.

AI-development LLM-engineering software-development application-building developer-education

About langchain-kr

teddylee777/langchain-kr

LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.

This project offers a comprehensive Korean tutorial for LangChain, a framework for developing applications powered by large language models. It takes LangChain's official documentation, cookbooks, and practical examples as input and provides clear guidance on building various LLM applications. This resource is designed for developers, data scientists, and AI engineers who want to integrate LLMs into their workflows effectively.

LLM-development AI-application-building natural-language-processing software-development machine-learning-engineering

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