---
title: "Discussion on \"RAG vs Fine-Tuning: When to Use Which (Developer's Guide)\" | Hashnode"
description: "Discussion on \"RAG vs Fine-Tuning: When to Use Which (Developer's Guide)\". If you're building an LLM-powered application, you'll hit this question quickly: should I use RAG (Retrieval-Augmented Generation) or fine-tune the model? Both approaches customize LLM behavior — but they solve different problems.\n\nWhat Is RAG?\nRAG r..."
url: "https://hashnode.com/posts/rag-vs-fine-tuning-when-to-use-which-developers-guide/69fdb6c931c160ef94e868ed"
---

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

Discussion

# [RAG vs Fine-Tuning: When to Use Which (Developer's Guide)](https://kalyna-pro.hashnode.dev/rag-vs-fine-tuning-when-to-use-which-developers-guide?utm_source=hashnode&utm_medium=feed)

If you're building an LLM-powered application, you'll hit this question quickly: should I use RAG (Retrieval-Augmented Generation) or fine-tune the model? Both approaches customize LLM behavior — but they solve different problems. What Is RAG? RAG r...

May 8 · 3 min read · kalyna-pro.hashnode.dev  
Read the article

## Written by

[Serhii Kalyna](https://hashnode.com/@kalyna-pro)

@kalyna-pro

  
[View profile](https://hashnode.com/@kalyna-pro)

AI-Driven Developer

## Responses

Markdown supported · ⌘↵ to post

No responses yet.