Understand the core components that power modern artificial intelligence systems.
Modern AI systems are built from interconnected components. Large language models generate responses. Embeddings convert data into numerical representations. Vector databases store and search those representations at scale. And retrieval systems connect everything to real-world information. Understanding how these pieces fit together is essential for anyone building, deploying, or making decisions about AI.
Large language models generate responses, embeddings convert data into vectors, vector databases store and retrieve them, retrieval systems connect everything to real-world information, and AI agents orchestrate these components to take autonomous action. Together they form the standard architecture for enterprise AI deployment in 2026.