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Staged retrieval and safe deletes for keeping engineering docs search fresh

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A technical guide argues that retrieval over internal engineering documentation should use staged queries, explicit collections, and traceable source context. It recommends treating document deletion as a versioned state transition, using tombstones and revision checks so stale or deleted content is not served. The article describes bounded read paths with timeouts, capped candidates, and exponential backoff on rate limits, plus idempotent consumers for at-least-once event delivery. It also frames freshness as a policy, with re-indexing on publish and periodic reconciliation against the source of truth. The piece mentions a commercial API option for vector search but centers its advice on the retrieval contract and includes a minimal Go example.

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