Should I use LLM fine-tuning or RAG?

RAG is right for most business applications - faster to implement, uses your existing data, no expensive training. Fine-tuning makes sense when you need a model to learn a specific style, format, or domain deeply. Our engineers recommend RAG for 80%+ of client use cases.