How Search Engines Learned to Understand Meaning

Semantic search represents a fundamental shift in how we retrieve information online. Rather than matching keywords, modern search engines now understand user intent and context through embeddings—a technique that transforms meaning into mathematical coordinates. This evolution demonstrates how AI and language models are reshaping information retrieval, making search more intuitive and accurate for billions of users.