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RAG vs Fine-Tune

Which one does your AI MVP actually need?

Most founders fine-tune too early. Answer four questions — documents, freshness, eval set, prompt failure — and get RAG vs prompt vs fine-tune.

Do answers live in documents users upload or you host?

Must answers include data from this week?

Do you have a scored eval set (20+ real questions)?

Have you already failed at prompting + (optional) RAG?

Answer all four questions.

Related guides

Turn your numbers into a shipped product.

RAG vs fine-tuning guide RAG MVP Do I need to fine-tune?Book a call

Need a human pass on the repo?

The score is a checklist, not a pentest. If you want harden vs rebuild on a real GitHub, that's a production review — not a pitch that every article must end with an agency.

AI prototype → production →Book a review call

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