What Is a RAG System and How to Build One
summary
Explains what Retrieval-Augmented Generation (RAG) is and how to build a RAG system using components like retrieval/indexing and LLMs. Compares MLOps practices for LLMs/RAG versus traditional ML and walks through creating a minimal working RAG pipeline.
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chapters (16)
- 0:00Introduction
- 2:11LLM evolution
- 5:47LLM limitations
- 8:01Improving LLM methods
- 9:31What is RAG
- 12:25RAG benefits
- 14:38RAG paradigms
- 16:05RAG components
- 18:34LangChain vs LlamaIndex
- 24:41Choosing RAG tools
- 26:30AI tools diversity
- 28:59RAG setup
- 31:32RAG demo
- 33:26PDF example
- 41:41Extending RAG
- 42:03Resources
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