Go Retrieval Architecture: Chunk Boundaries for a Privacy-Focused Personal Knowledge Manager

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AI Fusion Summary

A new retrieval architecture for support knowledge bases emphasizes observability, using trace‑level evidence at each stage—query, candidate set, filters, scores, and citations—to separate stale content from bad queries or broken filters. For privacy‑focused personal knowledge managers, staged retrieval with explicit collections, bounded queries, and revision checks ensures reliability and traceability.
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