RAG (Retrieval-Augmented Generation)
"An architectural approach that optimizes the output of a Large Language Model by referencing an external, authoritative knowledge base."
What is RAG (Retrieval-Augmented Generation)?
An architectural approach that optimizes the output of a Large Language Model by referencing an external, authoritative knowledge base. Botcadence teams apply this in production with Chat Agents.
Deep Dive
RAG allows AI agents to provide accurate, up-to-date information without needing to retrain the entire model. For businesses, this means your AI agent can 'read' your latest PDF manuals, spreadsheets, or website pages to answer customer questions with pinpoint accuracy. Support leaders use RAG (Retrieval-Augmented Generation) to contain repetitive contacts, keep humans for edge cases, and audit answers against the approved knowledge base. See Chat Agents.
Related Technology
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