KalyanKS-NLP/rag-zero-to-hero-guide resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1410 stars · 344 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A comprehensive open-source guide and course for learning Retrieval-Augmented Generation (RAG) from basics to advanced topics. It includes markdown lessons and Jupyter notebook implementations covering RAG from scratch, with LangChain, over websites and YouTube videos, agentic RAG with CrewAI, and RAG evaluation metrics.

Use cases

• learn RAG from scratch
• understand how retrieval-augmented generation works
• implement RAG with LangChain
• evaluate RAG pipeline performance
• build agentic RAG systems
• find a roadmap for becoming an LLM/RAG engineer

When to choose

• you want a structured, free curriculum for learning RAG end to end
• you prefer hands-on Jupyter notebook examples with popular frameworks like LangChain and CrewAI
• you need to learn RAG evaluation metrics and best practices

When to avoid

• you need a production-ready RAG framework or library rather than educational material
• you want a maintained software tool with releases and API stability
• you are looking for non-Python or non-LLM retrieval tutorials

Facets

learning-resource · maturity active

rag llm-inference agent-framework large-language-models tutorials artificial-intelligence python jupyter-notebooks rag-evaluation langchain crewai agentic-rag course retrieval-augmented-generation

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For agents

markdown · JSON · MCP: product_card(name="KalyanKS-NLP/rag-zero-to-hero-guide")