# LangChain-OpenTutorial/LangChain-OpenTutorial

LangChain, LangGraph Open Tutorial for everyone!

Repository: https://github.com/LangChain-OpenTutorial/LangChain-OpenTutorial
Canonical: https://ross.abutalabs.com/products/langchain-opentutorial
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: agent, langchain, langgraph
Last push: 2025-09-18T07:01:44+00:00

## Health v2 (maintenance only)
Score: 42/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 42, release rhythm 40, longevity 44
- inputs: {"age_days": 627, "days_push": 349, "days_rel": 570, "gap_med": 13, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1108, forks 345 (observed 2026-08-28T04:03:36.982167+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: active
- function: agent-framework, rag, llm-inference, prompt-engineering, chatbot
- domain: large-language-models, tutorials, developer-tools
- platform: python, cross-platform
- tags: langchain, langgraph, jupyter-notebooks, open-tutorial, google-colab, ai-agents, retrieval-augmented-generation

## Member repositories
- LangChain-OpenTutorial/LangChain-OpenTutorial (main) score 42

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:36.982167+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:43:43.976954+00:00, confidence not recorded.
  - readme: https://github.com/LangChain-OpenTutorial/LangChain-OpenTutorial (fetched 2026-08-28T04:03:36.982167+00:00, sha 41ac6a62aab3)
- Data as of 2026-08-30T08:39:29.467469+00:00.