RAG vs Fine-Tuning: Which One Your Use Case Actually Needs

RAG and fine-tuning solve different problems, knowledge versus behavior, and picking the wrong one wastes money and ships worse results. A practical decision guide with an interactive picker, including why a million-token context window does not retire retrieval.