---
title: "Discussion on \"RAG(Retrieval-Augmented Generation): The Good, the Bad, and the Hallucinations\" | Hashnode"
description: "Discussion on \"RAG(Retrieval-Augmented Generation): The Good, the Bad, and the Hallucinations\". Understanding RAG: How It Improves LLM Answers—and Where It Can Still Fail\nLarge Language Models (LLMs) such as ChatGPT can answer questions, write code, summarize documents, and generate content in s"
url: "https://hashnode.com/posts/understanding-rag/6a4fd4f7a41ac294526e64e2"
---

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

Discussion

# [RAG(Retrieval-Augmented Generation): The Good, the Bad, and the Hallucinations](https://linuxhunting.hashnode.dev/understanding-rag?utm_source=hashnode&utm_medium=feed)

Understanding RAG: How It Improves LLM Answers—and Where It Can Still Fail Large Language Models (LLMs) such as ChatGPT can answer questions, write code, summarize documents, and generate content in s

Jul 9 · 14 min read · linuxhunting.hashnode.dev  
Updated Jul 14  
Read the article

-   [#chaicode](https://hashnode.com/tag/chaicode)
-   [#chaiaurcode](https://hashnode.com/tag/chaiaurcode)
-   [#genai-cohort](https://hashnode.com/tag/genai-cohort)
-   [#genai](https://hashnode.com/tag/genai)

## Written by

[Vibhu Khati](https://hashnode.com/@vibhu7)

@vibhu7

  
[View profile](https://hashnode.com/@vibhu7)

## Responses

Markdown supported · ⌘↵ to post

No responses yet.