Evaluating dataset drift for chatbots

Discussion: - Signals: Topic distribution changes, new entities, rising out-of-scope rate. - Tools: Embedding-based drift detectors and human review. - Actions: Update retrieval corpora, refresh prompts, add hard negatives. - Pitfalls: Overreacting to noise; missing seasonal effects. How do you instrument drift and decide when to retrain or re-index?