Model Architecture
Embedding
A numerical representation of a word or concept that captures its meaning and relationships.
Definition
Computers can't understand words directly — they work with numbers. An embedding converts a word, sentence, or document into a list of numbers (a vector) in such a way that similar meanings produce similar numbers. Words like 'happy' and 'joyful' end up close together in this mathematical space; 'happy' and 'invoice' end up far apart. Embeddings are the foundation of semantic search and retrieval-augmented generation — allowing AI systems to find relevant information based on meaning, not just keyword matching.
Why this matters for your business
Embeddings are what make it possible to build intelligent document search — the kind that finds the relevant clause in a 300-page contract even if you phrase your query differently from how the contract phrases it.
Related Terms
Vector
A list of numbers used to represent a piece of text mathematically — the language of AI under the hood.
Semantic Search
Searching by meaning and intent rather than exact keyword matching.
RAG (Retrieval-Augmented Generation)
Combining an LLM with a search system so it can look up current or specific information before responding.
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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·Embedding