Embeddings
Mathematical representations of text, images, or concepts as vectors in multi-dimensional space, enabling semantic similarity comparisons.
Why Embeddings matters
Embeddings power semantic search, content recommendations, and help AI understand context beyond keyword matching.
Embeddings in context
As AI-powered discovery replaces traditional search, understanding Embeddings is a core competency for modern brands. It sits in the AI & GenAI family of concepts and directly influences how language models like ChatGPT, Gemini, Claude, and Perplexity surface, cite, and recommend brands.
Related Terms
Large Language Model (LLM)
A neural network trained on massive text datasets to understand and generate human-like language, powering tools like ChatGPT, Claude, and Gemini.
Generative AI (GenAI)
AI systems that create new content - text, images, video, code - by learning patterns from training data rather than following explicit rules.
Token
The fundamental unit of text processing in LLMs, typically representing a word, part of a word, or punctuation mark.