Introduction to Embeddings

Embeddings are the foundation of semantic search — they turn text, images, and other data into numerical representations that capture meaning. This lesson explains how embeddings work, why they matter, and how they enable AI systems to understand similarity.

You will see how a simple sentence becomes a vector and how those vectors power search, recommendation, and classification systems.