Build vs. Buy for AI Infrastructure

This post discusses the strategic decision-making process for AI infrastructure, specifically focusing on the trade-offs between building custom solutions (like vector databases) and purchasing managed services. It highlights the hidden costs of building, including infrastructure management, search optimization, reliability, and talent acquisition, and argues that for many companies, buying a managed service leads to faster value creation and allows engineering teams to focus on core business innovation.