// GLOSSARY

RAG (Retrieval-Augmented Generation)

An architecture that enriches context by pulling fragments from external documents or data sources while the model generates a response. It is among the central components of the runtime chain in generative-AI applications; it opens a separate attack surface for disclosure, indirect prompt injection and data-boundary abuse.