Intro to RAG

Learn how retrieval augmented generation grounds AI answers in approved knowledge sources.

Use approved data only. Treat AI output as a draft and verify facts.
Mission brief

Intro to RAG

Learn how retrieval augmented generation grounds AI answers in approved knowledge sources.

Retrieval Augmented Generation

RAG means retrieval augmented generation. In plain English, the AI looks up relevant approved documents before drafting an answer. It is like asking an assistant to check the handbook before responding.

RAG is useful when people ask repeatable questions and answers should be grounded in trusted material: policies, product docs, playbooks, SOPs, or knowledge-base articles. It still needs source quality, permissions, and human review.