teddylee777/langchain-kr resource
LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다. observed · 2026-08-28
Health v2 · maintenance only
42/100
- Activity 37
- Release rhythm 35
- Longevity 67
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 943
- days_rel: n/a
- days_push: 380
- n_releases_24m: 0
Adoption not part of the score
2042 stars · 731 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Korean-language tutorial collection for LangChain based on official docs, cookbooks, and practical examples, provided as Jupyter notebooks with a free Wikidocs ebook and YouTube videos. It covers RAG pipelines, agents, LangGraph, LangServe, and OpenAI API usage.
Use cases
- learn langchain in korean
- build a rag chatbot tutorial
- understand langgraph multi-agent examples
- deploy local llm with langserve
- openai api tutorial for beginners
- document q&a chatbot example code
When to choose
- you are a Korean speaker learning LangChain from scratch
- you want runnable notebook examples for RAG and agents
- you prefer tutorials paired with videos and a free ebook
When to avoid
- you need production-ready library code rather than tutorials
- you require English-only documentation
- you are not working with the LangChain/OpenAI ecosystem
Facets
learning-resource · maturity active
rag agent-framework llm-inference prompt-engineering chatbot large-language-models tutorials artificial-intelligence python cross-platform langchain korean tutorial jupyter-notebooks openai langgraph langserve educational retrieval-augmented-generation ai-agents
1 source
- readme: https://github.com/teddylee777/langchain-kr · fetched 2026-08-28 · af99d429ea5b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| teddylee777/langchain-kr | main | 42 |
For agents
markdown · JSON · MCP: product_card(name="teddylee777/langchain-kr")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem