---
title: "Discussion on \"RAG Explained Like You're Building ChatGPT in Your Bedroom\" | Hashnode"
description: "Discussion on \"RAG Explained Like You're Building ChatGPT in Your Bedroom\". Before you fine-tune a model, build an AI agent, or deploy a vector database, you need to understand the technology powering most modern AI applications: Retrieval-Augmented Generation (RAG)."
url: "https://hashnode.com/posts/rag-explained-like-you-re-building-chatgpt-in-your-bedroom/6a3a1a23548836cd137d6367"
---

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# [RAG Explained Like You're Building ChatGPT in Your Bedroom](https://vectorverse.hashnode.dev/rag-explained-like-you-re-building-chatgpt-in-your-bedroom?utm_source=hashnode&utm_medium=feed)

Before you fine-tune a model, build an AI agent, or deploy a vector database, you need to understand the technology powering most modern AI applications: Retrieval-Augmented Generation (RAG).

Jun 23 · 5 min read · vectorverse.hashnode.dev  
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## Written by

[Priyanka D](https://hashnode.com/@querylogs)

@querylogs · Bengaluru, India

  
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Breaking down modern AI systems to know how they work, why they matter, and what’s behind them

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