RAG: Retrieval-Augmented Generation Architecture

Most "ChatGPT for our docs" products succeed or fail on retrieval — not the LLM. A production RAG system is a data pipeline, a search stack, and a generation layer stitched together. Engineers who can design and operate each component independently — and diagnose which layer caused a regression — build products users actually trust.

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