Guided Labs

Build a provenance-aware ingestion and hybrid retrieval pipeline. Inject malformed structure, stale content, duplicates, an unauthorized source, and a failed deletion. Diagnose each through lineage and stage-specific metrics.

Required evidence

Submit runnable commands, immutable source and index versions, stage-specific measurements, representative failures, one rejected alternative, and a decision with an explicit stop condition. Screenshots and untraceable generated prose do not pass.

Oral defense

Trace one output backward to its source, explain the first failing stage in one counterexample, justify the baseline and metric, and demonstrate update or deletion behavior.

Source backbone

Use Designing Data-Intensive Applications, official engine documentation, primary retrieval research, and NIST AI RMF selectively.