With larger LLM context windows, do we still need RAGs to make our platforms better?
As an AI Engineer building production systems, you’ve probably watched the steady increase in context-window sizes for large language models (LLMs) with more than a little excitement. Longer context windows promise fewer context-truncation problems, the ability to feed whole documents (or many of them) into the model at once, and more coherent multi-turn interactions. That […]
Multi-Agent AI Systems — What They Are, How They Work, and Why They Matter
Introduction — why multi-agent matters today The era of single, monolithic AI systems is giving way to a more modular, collaborative approach: multi-agent AI. Rather than one model trying to do everything, multi-agent systems coordinate many specialized agents—each with a role, capability set, and way of interacting—to solve complex, real-world problems more reliably and efficiently. […]