Knowledge Feedback Loop overview

Knowledge Feedback Loop as a cross-cutting topic — human-in-the-loop correction and continuous improvement cycles for organizational knowledge systems. Covers thumbs-up/down signals on retrieved answers, expert correction workflows (user fixes a wrong answer, system learns), retrieval quality monitoring dashboards, embedding model fine-tuning on domain-specific relevance judgments, and the flywheel effect where usage data improves retrieval which increases usage.