AI Glossary Term

What is Embedding?

Definition

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

Related terms

Word Embedding
A dense vector representation of words capturing semantic relationships.
Embedding Model
A model specialized for converting data into vectors used for semantic search, clustering, and retrieval.
CLIP
A multimodal model architecture that learns shared representations between text and images.
Computer Vision
The branch of AI that extracts meaning from images and video.
Convolutional Neural Network (CNN)
A neural architecture optimized for processing grid-like data such as images.
Diffusion Model
A generative architecture that learns to reverse noise to synthesize images, audio, or other content.

Learn more in our free guides

Audio Embeddings and Representation LearningSentence-BERT EmbeddingsX-Vector Speaker EmbeddingsHyDE Hypothetical Document Embeddings
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