RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models

When you're building a GenAI application, especially in a production-ready stack like Next.js + NestJS, choosing between RAG, fine-tuning, and prompt engineering depends on your use case, data availability, cost tolerance, and desired performance. Here’s a clear breakdown of each method, when to use it, and how to optimize it for your stack.

Apr 21, 2025 - 15:37

RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models

When you're building a GenAI application, especially in a production-ready stack like Next.js + NestJS, choosing between RAG, fine-tuning, and prompt engineering depends on your use case, data availability, cost tolerance, and desired performance. Here’s a clear breakdown of each method, when to use it, and how to optimize it for your stack.