Questions
Common questions.
What is RAG (Retrieval-Augmented Generation)?
An architecture pattern where an AI agent retrieves relevant information from external knowledge sources before generating a response.
How does RAG (Retrieval-Augmented Generation) work?
Requires careful access control to ensure the agent only retrieves data it is authorized to see.
Which terms are related to RAG (Retrieval-Augmented Generation)?
Closely related concepts include Answer Faithfulness, Retrieval Poisoning, Agentic RAG, Continuous Integration Agent. Each is defined in the Prefactor glossary.
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