What is Embedding?

A numerical representation of text as a vector (list of numbers) that captures semantic meaning. Embeddings enable similarity search, RAG systems, and semantic understanding. On Mac, embedding models like nomic-embed-text run locally via Ollama and are much smaller than generative LLMs — typically requiring only 1–2 GB RAM.