AI comparison
RAG vs Fine-Tuning
4
RAG
vs
2
Fine-Tuning
Verdict
RAG for most use cases. Fine-tune only when you need consistent style or specialized behavior.
Detailed Comparison
| Criteria | RAG | Fine-Tuning | Winner |
|---|---|---|---|
| Setup Cost | Low (API + vector DB) | High (training data + compute) | RAG |
| Data Freshness | Real-time updates | Requires retraining | RAG |
| Accuracy (domain) | Good with quality docs | Excellent (internalized) | Fine-Tuning |
| Hallucination Control | Grounded in docs | Style transfer only | RAG |
| Maintenance | Update documents | Retrain periodically | RAG |
| Cost per Query | Higher (retrieval + gen) | Lower (generation only) | Fine-Tuning |
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