Putting this into practice
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Request Free AssessmentRetrieval Augmented Generation (RAG) is an AI framework that enhances Large Language Model (LLM) responses by retrieving relevant data from an external knowledge base before generation. This grounds the output in factual, up-to-date information, mitigating hallucinations and enabling context-aware answers, crucial for compliance with standards like the NIST AI RMF.
Curated by Winners Consulting Services Co., Ltd.
Winners Consulting helps organizations turn this concept into workable policies, processes and audit readiness.
Need help with compliance implementation?
Request Free Assessment