Every engineer knows the documentation paradox: it's essential for understanding code, but finding the right information often takes longer than debugging the problem itself. Search rarely works, pages go stale, and by the time you locate the right document, it's already out of date.This is where Retrieval-Augmented Generation (RAG) changes how developers interact with documentation. Instead of keyword search, developers can ask natural-language questions like "How does our retry policy work?" and get answers grounded in real documentation, with links back to source files. RAG turns static documentation into a queryable knowledge system, where information stays discoverable, contextual, and up-to-date.