LangChain-OpenTutorial/LangChain-OpenTutorial resource
LangChain, LangGraph Open Tutorial for everyone! observed · 2026-08-28
Health v2 · maintenance only
42/100
- Activity 42
- Release rhythm 40
- Longevity 44
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: 13
- age_days: 627
- days_rel: 570
- days_push: 349
- n_releases_24m: 2
Adoption not part of the score
1108 stars · 345 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An open-source tutorial repository of Jupyter notebooks teaching LangChain and LangGraph, from basics to advanced features. It is maintained by the LangChain community in Seoul and includes runnable examples for beginners and experienced users.
Use cases
- learn langchain from scratch
- langgraph tutorial with examples
- build llm agents step by step
- rag pipeline examples in notebooks
- langchain tutorial runnable in google colab
- refresher on latest langchain features
When to choose
- you want hands-on notebook-based learning for LangChain and LangGraph
- you need examples that run on Mac, Windows, Linux, or Google Colab
- you want community-maintained content covering recent LangChain releases
When to avoid
- you need production-ready application code rather than educational material
- you want a single maintained library instead of a collection of notebooks
- you need official documentation rather than a community tutorial
Facets
learning-resource · maturity active
agent-framework rag llm-inference prompt-engineering chatbot large-language-models tutorials developer-tools python cross-platform langchain langgraph jupyter-notebooks open-tutorial google-colab ai-agents retrieval-augmented-generation
1 source
- readme: https://github.com/LangChain-OpenTutorial/LangChain-OpenTutorial · fetched 2026-08-28 · 41ac6a62aab3
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| LangChain-OpenTutorial/LangChain-OpenTutorial | main | 42 |
For agents
markdown · JSON · MCP: product_card(name="LangChain-OpenTutorial/LangChain-OpenTutorial")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem