What is Embeddings?
An embedding is a numerical vector that represents the meaning of text, an image or other data, so that semantically similar items sit close together in vector space. Embeddings turn unstructured content into something machines can compare.
Embeddings power semantic search, clustering, recommendation and RAG. Instead of matching keywords, systems match vectors — capturing meaning, not just spelling.