RAG (Retrieval-Augmented Generation)

An architecture that enriches LLM responses by integrating data retrieved from an external knowledge base. RAG is used to create enterprise chatbots that can answer questions about internal documents. Risks include indirect prompt injection via indexed documents and confidential data leakage.