Embeddings

What it means

Embeddings are numerical vector representations of text, images, or other data that capture semantic meaning, so that similar concepts sit close together in vector space. AI systems use embeddings to measure relevance and similarity, powering semantic search and retrieval. When content is embedded and stored, an engine can retrieve the passages most semantically relevant to a query, a key step in how AI answers are grounded.