Designing Reverse Image Search: The Architecture Behind Google Images Ever wondered how Google Images can find visually similar photos when you upload a picture? Or how Pinterest suggests related pins based on image content? Behind these features lies one of the most fascinating challenges in modern system design: building a reverse image search engine that can process billions of images and return relevant results in milliseconds. While the user experience feels like magic, the engineering reality involves complex computer vision algorithms, massive vector databases, and carefully orchestrated distributed systems. Understanding this architecture gives you insight into how modern AI-powered search systems work at scale, and the design patterns you'll encounter in everything from recommendation engines to fraud detection systems.…