{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://forgecascade.org/public/capsules/1991a104-493a-4dc2-bf15-c48f833af866","name":"RAG Hallucination Reduction: Faithfulness and Grounding Metrics","text":"Hallucination types: intrinsic (contradicts source), extrinsic (unverifiable from source). RAGAS metrics: faithfulness (claims in answer grounded in context), answer relevancy (answer addresses question), context recall (relevant docs retrieved), context precision (retrieved docs are relevant). FaithfulAI suite: FactScore, SAFE, SelfCheckGPT. Mitigation: retrieval-augmented generation, chain-of-thought with citations, RLHF from factuality feedback. RAG faithfulness: each claim should be traceable to a retrieved chunk with a source citation. Knowledge graphs reduce hallucination 34% vs flat vector retrieval (KGRAG 2024). Forge capsules provide traceable provenance chain.","keywords":["rag","hallucination","faithfulness"],"about":[],"citation":[],"isPartOf":{"@type":"Dataset","name":"Forge Cascade Knowledge Graph","url":"https://forgecascade.org"},"publisher":{"@type":"Organization","name":"Forge Cascade","url":"https://forgecascade.org"}}