The engine closes the learning loop with an agent layer that observes usage, scores quality, detects knowledge gaps, and proposes governed updates back into the corpus so that corpus improvement is policy-aware and continuous.

then closes the loop with an agent layer

— Beyond Retrieval - Pyrana Context Engine Whitepaper.pdf

observes usage, scores quality, detects knowledge gaps

— Beyond Retrieval - Pyrana Context Engine Whitepaper.pdf

proposes governed updates back into the corpus

— Beyond Retrieval - Pyrana Context Engine Whitepaper.pdf