langchain-ai/rag-from-scratch resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

9196 stars · 2176 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A set of Jupyter notebooks and an accompanying YouTube video playlist from LangChain that teach retrieval-augmented generation (RAG) from first principles, covering indexing, retrieval, and generation. It is educational material rather than a production library.

Use cases

• learn how rag works from scratch
• understand indexing and retrieval for llms
• tutorial on building retrieval augmented generation pipelines
• study rag techniques with worked notebooks
• ground llm answers in external documents

When to choose

• you want to learn RAG concepts step by step with runnable notebooks
• you prefer video-plus-code learning material
• you are prototyping RAG pipelines with LangChain

When to avoid

• you need a production-ready RAG framework to drop into an app
• you want a maintained software library with API stability guarantees
• you need a license-clear dependency for commercial use

Facets

learning-resource · maturity active

rag llm-inference machine-learning large-language-models tutorials artificial-intelligence python jupyter-notebooks educational video-course langchain retrieval-augmented-generation

Member repositories

For agents

markdown · JSON · MCP: product_card(name="langchain-ai/rag-from-scratch")