← Glossary

Embedding

A numerical representation of text, images, or other data that captures its meaning, allowing AI to understand relationships.

Imagine trying to explain the meaning of a word or an image to a computer. 'Embedding' is the process where AI converts complex data (like words, sentences, or even entire images) into a string of numbers. These numbers are carefully chosen so that data with similar meanings or characteristics have similar numerical representations.

For small businesses, embeddings are the secret sauce behind many smart AI features. They allow AI to understand 'similarity.' This means an AI can recommend products that are 'like' what a customer previously bought, even if keywords don't match exactly, or quickly find relevant documents in a large database. It's fundamental for advanced search, recommendation systems, and making sense of unstructured data.

Example

A small online bookstore uses embeddings to recommend books to customers by finding titles with similar themes, authors, or genres, even if the exact keywords in their descriptions don't perfectly align.