RAG vs Fine-Tuning: Choosing the Right Approach for Your LLM

When building enterprise AI applications, one of the most critical decisions is how to make your LLM knowledgeable about your specific domain.

RAG

Best for dynamic data, large knowledge bases, source citations.

Fine-Tuning

Best for consistent style, domain-specific language, speed.

Recommendation

For most enterprise use cases, start with RAG.