advancedSpring AI — Core, ChatClient & RAG
What is the difference between RAG and fine-tuning? When do you use each?
RAG injects knowledge at inference time — cheaper, instantly updatable, and the answer is traceable to a source. Fine-tuning bakes knowledge into model weights — better for consistent tone/format, faster inference, but expensive and static. Use RAG for frequently-changing or proprietary knowledge; fine-tune when a consistent style/task format matters more.
Ready to master this question?
Generate a complete walkthrough — background, the full answer in plain language, a working code example explained line by line, a real-world scenario, common mistakes, and how this same question gets asked in different ways.
Sign in to generate a response