Fine-Tuning vs RAG Trade-Offs

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Your question is Fine-Tuning vs RAG Trade-Offs. Take a moment with it on the right.

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Problem

Scenario

You are building an LLM feature where answers must stay accurate as policies and product details change. Your team is deciding whether to fine-tune a model, rely on prompt engineering, or add retrieval over a live knowledge base.

Question

What are the trade-offs between fine-tuning and using prompt engineering or RAG?