# emarco177/langchain-course

A project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters.

Repository: https://github.com/emarco177/langchain-course
Canonical: https://ross.abutalabs.com/products/langchain-course
Homepage: https://www.udemy.com/course/langchain/
License: Apache-2.0
License Family: permissive
Topics: agents, langchain, langgraph, langsmith, python, rag
Last push: 2026-07-30T14:00:26+00:00

## Health v2 (maintenance only)
Score: 73/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 35, longevity 88
- inputs: {"age_days": 1236, "days_push": 34, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1615, forks 3094 (observed 2026-08-28T04:05:11.332975+00:00)

## What it is
A project-based open-source course teaching how to build AI agents with LangChain v1+ and LangGraph in Python. It includes seven hands-on projects such as search agents, RAG systems, reflection agents, and a code interpreter.

## Use cases
- learn langchain from scratch
- build ai agents with langgraph
- build a rag system tutorial
- implement reflection agents
- create a search agent with tools
- learn agentic rag patterns
- hands-on langchain projects in python

## When to choose
- you want project-based, code-first learning of LangChain and LangGraph
- you are a Python developer building LLM-powered agents
- you want practical examples of RAG and agentic workflows

## When to avoid
- you need production-ready agent framework code rather than educational material
- you do not use Python or the LangChain ecosystem
- you want a comprehensive reference rather than a guided course

## Facets
- artifact type: learning-resource
- maturity: active
- function: agent-framework, rag, llm-inference, prompt-engineering
- domain: artificial-intelligence, large-language-models, tutorials
- platform: python
- tags: langchain, langgraph, langsmith, course, project-based-learning, ai-agents, retrieval-augmented-generation

## Member repositories
- emarco177/langchain-course (main) score 73

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:11.332975+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 2026-08-30T03:50:17.224150+00:00, confidence not recorded.
  - readme: https://github.com/emarco177/langchain-course (fetched 2026-08-28T04:05:11.332975+00:00, sha d0bef864a8ae)
- Data as of 2026-08-30T08:39:29.467469+00:00.