BuzoNotes
Blog
Notes on vector memory — observability, cleanup, and trust evidence for production AI.
The retrieval blind spot: why RAG systems fail silently.
What the literature, the benchmarks, and three years of production incidents tell us about catching bad answers before users do.
May 13, 2026
Vector-store rot: the data quality crisis nobody talks about.
Stale embeddings, leaked PII, and the surprisingly hard problem of safely deleting a row from a vector index.
May 13, 2026
Knowledge-base metastasis: the true cost of one poisoned fragment.
Poisoned data does not sit still in a vector store. It cites itself into adjacent answers, gets re-ingested as ground truth, and spreads — quietly, at the speed of retrieval.
May 13, 2026
Audit trails for AI: what regulators will ask for next.
The EU AI Act, NIST AI RMF, and SOC 2 Type II are converging on the same answer: tamper-evident records of every change to the data your model depends on.
May 13, 2026