Embedding Dimension

Definitions

1. The number of numeric dimensions in an embedding vector used to represent data such as text or images. Embedding dimension affects storage cost, retrieval behavior, and the representational capacity of the embedding space.

   In plain English: The length of the numeric vector used for an embedding.

   Example: "They reduced embedding dimension to cut storage overhead after testing showed retrieval quality stayed roughly unchanged."

Related Terms

• slop
• AI Architecture
• AI Vector
• Embedding Layer
• Frozen Embedding
• Neural Search
• RAG Embedding
• Token Embedding