What is Embedding Model?

A numeric vector representation that captures semantic meaning of text, images, or other data.

Converting raw data into informative features that a model can use.

A retrieval approach that combines keyword (lexical) search with vector (semantic) search for better recall and precision.

A graph structure of entities and relationships used for reasoning or retrieval.

A method that retrieves external knowledge and feeds it into generation at inference time.

Search that matches meaning rather than exact keyword overlap, often using embeddings.