Lab 5: The Full RAG Pipeline

Every step visible. Every decision transparent. Watch RAG work under the hood.

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The Full Solution — Nothing Hidden

Watch your question travel through the entire RAG pipeline. See the vectors, the retrieved chunks, the assembled prompt, and the streamed response — all live.

RAG = Retrieve + Augment + Generate

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RETRIEVE

Embed the question → search vector store → get top-K matching chunks

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AUGMENT

Inject retrieved chunks into the prompt as context — copy-paste, literally

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GENERATE

LLM reads context + question → generates accurate, grounded answer

RAG is not magic. It is finding the right text and putting it in the prompt. That's it.