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Learn how retrieval-augmented generation (RAG) helps AI SRE agents use runbooks, postmortems, and documentation to investigate real production incidents.
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Large language models understand infrastructure, but they don't understand your infrastructure. This article explains how a retrieval-augmented generation (RAG) layer gives AI SRE agents access to runbooks, postmortems, architecture docs, and service ownership information at investigation time. It covers the two-plane knowledge model, vector retrieval, real-world failure modes, and practical lessons for keeping an AI knowledge base accurate, current, and trustworthy.