When we interact with modern AI systems—whether through semantic search, recommendation engines, or retrieval-augmented generation (RAG)—there’s a quiet hero working in the background: embeddings. They are the bridge between raw human language (or images, audio, even video) and the numerical world machines operate in. At their core, embeddings are vector representations of data. Imagine plotting words,…
