KalyanKS-NLP/rag-zero-to-hero-guide
A comprehensive zero-to-hero guide teaching RAG concepts, implementation, and evaluation from basics to advanced.
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This repository provides structured educational content for learning RAG from scratch. It covers foundational concepts including what RAG is, why it addresses LLM limitations, and how the indexing-retrieval-augmentation-generation pipeline works. The guide includes practical implementations using LangChain, evaluation courses, and survey papers for advanced learners.
Frequently asked
- What is KalyanKS-NLP/rag-zero-to-hero-guide?
- A comprehensive zero-to-hero guide teaching RAG concepts, implementation, and evaluation from basics to advanced.
- Is rag-zero-to-hero-guide open source?
- Yes — KalyanKS-NLP/rag-zero-to-hero-guide is open source, released under the Apache-2.0 license.
- What language is rag-zero-to-hero-guide written in?
- KalyanKS-NLP/rag-zero-to-hero-guide is primarily written in Jupyter Notebook.
- How popular is rag-zero-to-hero-guide?
- KalyanKS-NLP/rag-zero-to-hero-guide has 1.4k stars on GitHub.
- Where can I find rag-zero-to-hero-guide?
- KalyanKS-NLP/rag-zero-to-hero-guide is on GitHub at https://github.com/KalyanKS-NLP/rag-zero-to-hero-guide.