Building Modern AI Systems: RAG, Vector Databases and AI Agents
The future of AI isn’t just about building better individual models — it’s about building better systems around those models. A raw language model, no matter how capable, is limited by what it learned during training and by what it can do in a single forward pass. Real-world AI products solve this by combining models with retrieval, memory, tools, and feedback loops. This post walks through four of the most important system-level patterns in production AI today: Retrieval-Augmented Generation, vector databases, AI agents, and diffusion models. ...