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RAG — Retrieval-Augmented Generation
A technique that combines information retrieval from a knowledge base with language model response generation.
RAG (Retrieval-Augmented Generation) enables a Voice AI agent to answer specific questions about your business. Instead of relying solely on the LLM's general knowledge, RAG searches for relevant information in the business's Knowledge Base and incorporates it into the response. For example: a customer asks "What are your hours?" — RAG finds the information from the knowledge base and generates an accurate answer. According to Meta AI Research, RAG reduces hallucinations by 50%+ compared to LLM alone (Source: Meta AI, 2024).