Fine-tuning vs RAG: How to Choose (Practical Criteria)

Use RAG when knowledge changes frequently or must be traceable to sources.

Fine-tune when behavior/style must be consistent and data is stable and high-quality.

Often the best answer is hybrid: small fine-tune + RAG + strong evaluation.