Select retrieval over fine-tuning when a workflow needs current external facts.
The demo starts in twenty minutes, but the warehouse feed changed after lunch. The assistant must answer whether a replacement scanner can ship today. Which move fits the problem? Add retrieval from the live inventory and product-note sources, then keep the prompt focused on answer format. Right. The missing ingredient is current external data, so RAG supplies the facts at response time while prompting controls the response shape. Fine-tune on yesterday's catalog export so the model memorizes the product list. Weaker. Fine-tuning would bake in stale inventory and require repeated retraining. It violates the principle that moving facts should stay…
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