---
title: "Discussion on \"What is RAG? Retrieval-Augmented Generation Explained with Examples, Pipeline & Limitations\" | Hashnode"
description: "Discussion on \"What is RAG? Retrieval-Augmented Generation Explained with Examples, Pipeline & Limitations\". Learn what Retrieval-Augmented Generation (RAG) is, why AI models need it, how the RAG pipeline works, and where RAG fails. A beginner-friendly guide with real-life examples and simple explanations."
url: "https://hashnode.com/posts/what-is-rag-retrieval-augmented-generation-explained-with-examples-pipeline-limitations/6a55eec0a40d1ce816e5ba14"
---

[Feed](https://hashnode.com/feed) /

Discussion

# [What is RAG? Retrieval-Augmented Generation Explained with Examples, Pipeline & Limitations](https://patiljay956.hashnode.dev/what-is-rag-retrieval-augmented-generation-explained-with-examples-pipeline-limitations?utm_source=hashnode&utm_medium=feed)

Learn what Retrieval-Augmented Generation (RAG) is, why AI models need it, how the RAG pipeline works, and where RAG fails. A beginner-friendly guide with real-life examples and simple explanations.

Jul 14 · 15 min read · patiljay956.hashnode.dev  
Read the article

-   [#chaicode](https://hashnode.com/tag/chaicode)
-   [#rag](https://hashnode.com/tag/rag)
-   [#ai](https://hashnode.com/tag/ai)

## Written by

[JAY PATIL](https://hashnode.com/@patiljay956)

@patiljay956 · India

  
[View profile](https://hashnode.com/@patiljay956)

Software Engineer | Backend Developer | Curios about Systems

Back-end developer with strong full-stack skills, flexible and eager to build scalable backend solutions. I aim to drive innovation, excel in team environments, and continuously improve my technical abilities by working on exciting products.

## Responses

Markdown supported · ⌘↵ to post

No responses yet.
