Corrective RAG (CRAG) — AI Glossary

Corrective RAG is a 2024 retrieval pattern that adds a relevance-grading step between retrieval and generation: every retrieved document is scored by a lightweight evaluator for how well it answers the query, and the pipeline branches on the aggregate confidence. If confidence is high, the documents flow straight into the generator.