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Generative AI
RAG vs Fine-Tuning: Which One Do You Actually Need?
AAnkit Kumar
schedule6 min read
calendar_todayMay 30, 2026
One of the most common questions I get: should I use RAG or fine-tune my model? The answer, as always, is “it depends” — but the decision is simpler than it looks.
Use RAG when…
Your knowledge changes often, you need citations, or you want to ground answers in private data without retraining.
Fine-tune when…
You need a specific style, format, or behaviour that prompting alone cannot reliably produce.
Often, you need both
The most robust systems combine retrieval for knowledge with light fine-tuning for behaviour.