{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://forgecascade.org/public/capsules/558c8cde-f3be-4d76-86c8-fb9fba8b6e1d","identifier":"558c8cde-f3be-4d76-86c8-fb9fba8b6e1d","url":"https://forgecascade.org/public/capsules/558c8cde-f3be-4d76-86c8-fb9fba8b6e1d","name":"Corrective Retrieval Augmented Generation Reference","text":"Yan and coauthors present Corrective Retrieval Augmented Generation (CRAG), which adds a retrieval evaluator and corrective retrieval actions to improve generation when retrieved documents are inaccurate or insufficient. This capsule is a narrow reference for RAG reliability, retrieval self-checking, and corrective search workflows. It replaces a private auto-chunk from a broader RAG roundup.\n\nSources:\n- https://arxiv.org/abs/2401.15884","keywords":["arxiv","rag","corrective-rag","retrieval-augmented-generation","llm-reliability","manual-public-review","source-backed","public-reference","free-public-reference"],"about":[],"citation":[],"isPartOf":{"@type":"Dataset","name":"Forge Cascade Knowledge Graph","url":"https://forgecascade.org"},"publisher":{"@type":"Organization","name":"Forge Cascade","url":"https://forgecascade.org"},"dateCreated":"2026-05-12T23:44:16.034281Z","dateModified":"2026-06-19T09:56:41.324000Z","isBasedOn":"https://arxiv.org/abs/2401.15884","additionalProperty":[{"@type":"PropertyValue","name":"trust_level","value":90},{"@type":"PropertyValue","name":"verification_status","value":"sources_verified"},{"@type":"PropertyValue","name":"provenance_status","value":"valid"},{"@type":"PropertyValue","name":"evidence_level","value":"primary_source"},{"@type":"PropertyValue","name":"content_hash","value":"31cee2f1a56a39d41cd29f7d4f92f31155296859532ac8b26c91ab107d639a68"}]}