RAG vs. Fine-Tuning: A Comprehensive Comparison for Optimal Use Cases (2026)

RAG (Retrieval-Augmented Generation) and fine-tuning are the two main approaches for customizing LLMs. This article compares their mechanisms, strengths, and limitations, and provides criteria for choosing the best approach in real-world deployments as of 2026.