Generative AI
RAG Is Easy to Demo and Hard to Operate
Production retrieval systems succeed when content ownership, evaluation and failure handling are designed before the chatbot interface.
Retrieval-augmented generation can look convincing with a clean document set. Production introduces stale policies, conflicting sources, access rules and questions that have no reliable answer.
Treat knowledge as a product
Assign owners to source collections, define freshness targets and test retrieval separately from generation.
A trustworthy assistant knows when its evidence is insufficient.
BELFORT AI Engineering
