An embedding is a numerical fingerprint of a piece of content — a vector of numbers that captures meaning well enough that similar texts land close together. Embeddings let software search, group, and compare content by meaning instead of exact wording.
Embeddings power semantic search, recommendations, and duplicate detection. AI Panic uses this style of similarity when grouping stories that report the same event in different words.
“OpenAI unveils new model” and “GPT-maker announces next release” share no keywords but have similar embeddings — so they can be grouped as one story.