In standard Retrieval-Augmented Generation (RAG) benchmarks, evaluation is conducted offline against static, curated evaluation datasets. Engineering teams run periodic test suites, scoring candidate models on historical question-answer pairs to calculate aggregate precision metrics before deploying updates to staging environments. In enterprise autonomous agent swarms, this offline evaluation paradigm fails. An autonomous agent interacting with enterprise […]