Embedding

Technical meaning. An embedding turns text, images, or other content into numbers that software can compare by meaning.

Why it matters. Turning meaning into numbers so software can compare ideas.

Where people see it. You see embeddings behind semantic search, recommendations, duplicate detection, clustering, and RAG systems.

Small business example. A help center can use embeddings to find related answers even when the customer uses different words.

Mistake to avoid. Do not treat embeddings as human understanding. They are useful similarity signals, not judgment.

Related terms. Knowledge Base, Data Pipeline, CRM Automation.