TL;DR — Image Search

Design an image search system that allows users to search for images using text queries, reverse image search (find similar images), and combined text+image queries. The system must generate visual embeddings, build efficient similarity indices, and serve results in real-time across a corpus of billions of images. Key features: Text-to-image search using CLIP embeddings. Reverse image search (find visually similar images).