A housing authority bulk-uploads lease PDFs and the job fails halfway. What should the AI ops team monitor for the resident assistant’s retrieval layer?

For a housing-authority resident assistant, AI ops must monitor search index health and data ingestion completeness when bulk lease PDF uploads fail mid-job. The practice works because retrieval quality collapses if only a partial corpus lands in the index—residents then receive answers grounded in an incomplete lease set, which can omit critical clauses or mix superseded documents. Index health (failures, lag, document counts, skillset errors) and ingestion completeness checks are the operational signals that the retrieval layer matches what records staff believe they published.

Monitoring source blob upload throughput and storage quota usage for the lease corpus fails because throughput and quota only show whether files reached blob storage and whether capacity remains, not whether those lease PDFs were parsed, chunked, and indexed for retrieval—the ingestion job can still fail halfway after a successful upload.

Monitoring vector query latency and semantic cache hit rates for the lease corpus fails because fast query response times and strong cache hits say nothing about whether the failed bulk upload finished indexing—the system can serve quick replies while the assistant draws from a half-populated lease index.

Monitoring passage relevance scores and user feedback ratings for the lease corpus fails because these are subjective, delayed quality signals that only appear after answers have already been delivered—they do not tell ops which documents from the failed batch never reached the index in the first place.

Exam cave: a “green” indexer status can still hide silently skipped files, empty extractions, or mismatched document IDs; completeness must compare source counts to indexed counts. Operational check: after bulk uploads, reconcile expected vs indexed lease documents, alert on failed skillset executions and zero-vector results, re-run failed batches, and sample retrieval for leases known to be in the failed window before declaring the resident assistant current.