emarco177/langchain-course resource
A project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters. observed · 2026-08-28
Health v2 · maintenance only
73/100
- Activity 95
- Release rhythm 35
- Longevity 88
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: 1236
- days_rel: n/a
- days_push: 34
- n_releases_24m: 0
Adoption not part of the score
1615 stars · 3094 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
learning-resource · maturity active
agent-framework rag llm-inference prompt-engineering artificial-intelligence large-language-models tutorials python langchain langgraph langsmith course project-based-learning ai-agents retrieval-augmented-generation
1 source
- readme: https://github.com/emarco177/langchain-course · fetched 2026-08-28 · d0bef864a8ae
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| emarco177/langchain-course | main | 73 |
For agents
markdown · JSON · MCP: product_card(name="emarco177/langchain-course")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem