Model Architecture
Vector
A list of numbers used to represent a piece of text mathematically — the language of AI under the hood.
Definition
A vector is simply a list of numbers. In AI, text is converted into vectors (via embeddings) so that the model can perform mathematical operations on it. Two pieces of text with similar meaning will have similar vectors — their numbers will be close together in mathematical space. This is what allows AI systems to understand that 'payment overdue' and 'outstanding invoice' are related concepts even though they share no words.
Related Terms
Embedding
A numerical representation of a word or concept that captures its meaning and relationships.
Vector Database
A database that stores embeddings and allows searching by meaning rather than keywords.
Latent Space
The internal mathematical space where a model stores its 'understanding' of concepts.
Heard enough terminology — ready to talk outcomes?
We translate AI concepts into measurable business results. No upfront fees — you pay only when independently verified results are delivered.
Disclaimer
This definition is provided for educational and informational purposes only. It represents a general explanation of a technical concept and does not constitute professional, technical, or investment advice. Artificial intelligence is a rapidly evolving field; terminology, techniques, and capabilities change frequently. Coaley Peak Ltd makes no warranty as to the accuracy, completeness, or currency of the information provided. Nothing on this page should be relied upon as the sole basis for commercial, technical, legal, or investment decisions without independent professional advice.
Document reference: ISO_webpage_knowledge-base_glossary_v1
Last modified: 29 March 2026
Knowledge Base·Model Architecture·Vector