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Applied AI / Glossary

Retrieval-Augmented Generation (RAG)

A pattern that gives an AI model relevant external information before it answers.

Definition

RAG retrieves content from approved documents, systems, or knowledge bases and adds it to the model context. This helps answers reflect current company information without retraining a model.

Why it matters

It is often the difference between a generic AI demo and a useful assistant grounded in business knowledge.

Business example

A staff assistant answers product-policy questions using the latest approved documents and links the sources it used.

When to use it

Use it when answers depend on changing, proprietary, or traceable business information.

When not to use it

Do not use it to compensate for disorganized source content or unclear information ownership.

How Automathing approaches it

We start with source quality, access controls, and the questions people actually need answered.