The 4-Layers Architecture of GenAI Applications
Developing production-grade generative AI applications requires more than just powerful models. Our analysis identifies four distinct layers—Input, Model, Orchestration, and Output—that form the foundation of reliable GenAI systems. This architectural perspective provides development teams with clear quality checkpoints at each layer, enabling precise testing strategies that evolve alongside emerging patterns like RAG and agentic architectures. Discover how this framework helps engineering teams systematically address quality challenges unique to LLM-based applications
