Atronova
Retrieval-augmented generation looks trivial in a notebook and humbling in production. The gap is not the model — it is everything around it: chunking, retrieval quality, grounding, evaluation and guardrails.
Grounding beats cleverness
Answers must be traceable to source. Cite passages, show the model’s working, and make “I don’t know” a valid, safe response. Hallucination is a product failure, not a model quirk.
Evaluate continuously
You cannot improve what you do not measure. Build an eval set from real questions, score offline and online, and treat regressions like bugs.
Govern it
Access control on the index, PII handling, and monitoring are not optional for enterprise AI. The teams that win are the ones that made trust a feature from day one.