Corrective RAG (CRAG) Build RAG systems that validate retrieval quality and self-correct when needed. When to Use - Need high-accuracy, grounded responses - Want to detect and handle retrieval failures - Combining internal knowledge with web search fallback - Building production RAG with quality guarantees CRAG Architecture Implementation 1. Relevance Grader 2. Web Search Fallback 3. Knowledge Refiner 4. Full CRAG Pipeline Evaluation Metrics Best Practices 1. Calibrate grader thresholds - test on labeled data 2. Log all decisions - track when/why fallback triggers 3. Rate limit web search - p…