RAG vs Fine-Tuning: Just Write a Prompt First

Remember that scene from Dexter where Angel says "She don't mind who I flirt with as long as I bring home la pasión"?

Yeah, that's basically AI development right now.

La pasión (the prompt) is what actually gets the job done. Simple, direct, works.

Communication and trust (RAG and fine-tuning) are what people think they need, but they're overcomplicating it.

Look, I'm a nerd but not a typical one. So let me break this down without the BS.

The Real Talk

Before you build anything fancy, just write a good prompt. Takes 20 minutes. Solves most problems.

What We're Talking About

Prompt: Instructions for the AI. Free.

RAG: AI searches your docs before answering. Good for massive, changing datasets.

Fine-tuning: Retrain the model. Expensive. Last resort.

When to Use What

Use RAG when:

• Thousands of constantly updating documents
• Need citations for legal/compliance
• Data won't fit in context window

Use Fine-tuning when:

• 1,000+ examples and prompting failed for weeks
• Need extremely specific style at massive scale
• Genuinely specialized domain knowledge needed

Use a better prompt when:

• Literally everything else

What to Do

1. Write a real prompt with 5-10 examples (1 hour)
2. Test on 30+ cases
3. If it fails, figure out why first

Don't jump to complex solutions.

The Point

You'll need la pasión (good prompts) anyway, even with communication and trust (RAG or fine-tuning).

So start there.

That's it.