Concept · Building with AI

Dimension

Also called: dimensions, dimensionality, embedding dimension, vector size

One number position in a vector, like one axis on a map. An embedding with 1,024 dimensions describes each item with 1,024 numbers. More dimensions can capture finer distinctions but cost more to store and search.

For example: A map has two dimensions, east-west and north-south. An embedding is a map with hundreds of dimensions instead.

Connects to 5

• Vector Concept
• Embedding Concept
• Latent space Concept
• Vector database Concept
• Cosine similarity Concept