Build a safe support RAG corpus from policy docs

The support team has current policies, stale PDFs, exception memos, and customer-facing help docs scattered across tools. They want a single assistant to answer internal questions accurately. Prepare the corpus in three passes: choose trustworthy sources, label them for scope, and segment them into complete answer units before indexing. The usual mistake is assuming semantic search will compensate for stale documents, missing metadata, and chunks that separate rules from their exceptions. Step 1 Create a shortlist of approved active documents and remove or quarantine outdated, duplicate, or unresolved files before indexing. This shrinks the candidate pool and prevents old policy…

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