Search Engines Decoded: Understanding Information Retrieval Through Nova Search

Understanding how search engines work internally is fundamental knowledge for any software engineer building retrieval systems, from databases to content discovery platforms. By constructing Nova Search from scratch, this article illustrates how inverted indexes reduce search complexity from O(n) to O(1), a critical optimization that powers modern information systems. The techniques covered—indexing, normalization, and querying—form the foundation for everything from Google Search to recommendation engines and make this deep-dive essential reading for architects and engineers.