Fine-tuning vs. RAG: Which AI strategy fits your frontend project?

AI integration in frontend development presents unique challenges and opportunities. Fine-tuning offers fast, consistent responses but requires retraining for updates, while RAG allows instant knowledge updates but introduces latency and complexity. Developers must consider performance, knowledge management, and user experience when choosing between these approaches. The decision impacts frontend architecture, caching strategies, and interface design, ultimately shaping how users interact with AI-powered features.