---
title: "What Is RAG? A Complete Guide to Retrieval-Augmented Generation"
url: "https://wappnet.ai/blog/what-is-rag-a-complete-guide-to-retrieval-augmented-generation/"
date: "2026-09-28T12:50:30+00:00"
modified: "2026-09-28T12:50:32+00:00"
type: "Article"
resource: "https://wappnet.ai/blog/what-is-rag-a-complete-guide-to-retrieval-augmented-generation/"
timestamp: "2026-09-28T12:50:32+00:00"
author:
  name: "Ankit Patel"
  url: "https://wappnet.ai"
categories:
  - "RAG"
tags:
  - "RAG architecture"
  - "Retrieval-Augmented Generation"
  - "what is RAG"
word_count: 60
reading_time: "1 min read"
summary: "Retrieval-Augmented Generation (RAG) is an AI architecture that connects a large language model to an external knowledge source, so it retrieves relevant, up to date information before generating a..."
description: "Learn what RAG is, how Retrieval-Augmented Generation works, reduces AI hallucinations, and powers smarter enterprise AI."
keywords: "Retrieval-Augmented Generation, RAG architecture, what is RAG"
language: "en"
schema_type: "Article"
---

# What Is RAG? A Complete Guide to Retrieval-Augmented Generation

_Published: September 28, 2026_  
_Author: Ankit Patel_  

![What Is RAG](https://wappnet.ai/wp-content/uploads/2026/09/Cover_image_RAG-1024x733.webp)

Retrieval-Augmented Generation (RAG) is an AI architecture that connects a large language model to an external knowledge source, so it retrieves relevant, up to date information before generating a response. Instead of relying only on facts frozen into the model at training time, a RAG system pulls in real documents, then writes an answer grounded in what it just found.


---

_View the original post at: [https://wappnet.ai/blog/what-is-rag-a-complete-guide-to-retrieval-augmented-generation/](https://wappnet.ai/blog/what-is-rag-a-complete-guide-to-retrieval-augmented-generation/)_  
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_Generated: 2026-09-28 12:50:32 UTC_