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Retrieval-Augmented Generation (RAG)

RAG lets AI agents pull real answers from your actual business data instead of guessing from general training.

What it is

RAG is built into every agent we deploy. In Resolve, the service agent searches your knowledge base before answering a customer question. In Radar, the research agent retrieves specific sources before summarizing. RAG is non-negotiable for production reliability.

Why it matters

Without RAG, AI agents hallucinate—they make up plausible-sounding but false answers. RAG connects agents to your knowledge base, CRM, documentation, and databases so they reference *your actual data* when answering questions. For customer support, this is the difference between a helpful assistant and a liability.

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