RAG

TechnologiesAlso known as: Retrieval-Augmented Generation, Enterprise RAG

Architectural design pattern that augments language models by retrieving relevant factual documents from external vector stores or indexed knowledge repositories before generating responses. Grounding responses in verified private data eliminates factual hallucinations, enforces verifiable citations, and keeps answers updated without costly model fine-tuning. The foundational architecture for enterprise AI agents.

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