---
type: Glossary Term
title: RAG (Retrieval-Augmented Generation)
description: "An AI architecture pattern that enhances LLM responses by retrieving relevant documents from an external knowledge base before generating answers. Combines the "
resource: "https://www.contextstudios.ai/glossary/rag-retrieval-augmented"
category: tech
language: en
timestamp: "2026-07-01T15:03:07.155Z"
---

# RAG (Retrieval-Augmented Generation)

An AI architecture pattern that enhances LLM responses by retrieving relevant documents from an external knowledge base before generating answers. Combines the reasoning power of language models with up-to-date, domain-specific information without retraining.

## Business Value

Applies state-of-the-art rag (retrieval-augmented generation) techniques that give organizations a 6-12 month competitive advantage.

## Context Studios Perspective

We implement rag (retrieval-augmented generation) with deep expertise across Claude, GPT, and Gemini, selecting the optimal technology for each client's specific use case.