When building domain-specific AI applications, should we fine-tune LLMs or use RAG? What are the trade-offs?

Comparing:

  • Cost of fine-tuning vs inference with RAG
  • Latency considerations
  • Ability to update knowledge
  • Hallucination reduction
  • Training data requirements

I''m building a legal document assistant. Would love to hear experiences from both approaches!