Glossary
Retrieval-Augmented Generation (RAG)
A technique that retrieves relevant documents at query time and feeds them to a model so its answer is grounded in your data.
Retrieval-augmented generation (RAG) fetches relevant content from a knowledge source and includes it in the model's context, so responses are grounded in current, specific information rather than the model's training alone.
Because RAG pulls external content into a prompt at runtime, it is also a path for indirect prompt injection and for sensitive data to enter a prompt - which makes the retrieval step a point to govern.
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