In this article, you will learn how the seven layers of a production AI agent stack fit together, from the foundation model down to deployment infrastructure.
Topics we will cover include:
What each layer of the stack does, from the foundation model and orchestration framework through memory, retrieval, tools, observability, and deployment.
How to implement each layer with working code, including a stateful agent, a memory system, a RAG pipeline, custom tools, and tracing.
Which combination of technologies to use at each layer depending on whether you are prototyping, scaling a startup, or operating in an enterprise environment.
