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Embedding

An embedding is a numerical (vector) representation of text, an image, or any other data in a high-dimensional mathematical space. Language models transform words and paragraphs into vectors of numbers such that texts with similar meaning end up close in vector space, while texts with different meanings end up far apart.

Definition

Embeddings are the fundamental component of RAG systems and semantic search engines: they allow finding documents "semantically similar" to a query, even if they don't contain exactly the same keywords. For example, a query about "cost reduction plan" will find documents about "expense optimization" or "budget efficiency".

Understanding embeddings helps professionals design smarter AI systems for document management, internal search, enterprise chatbots and recommendation systems, applications increasingly present in modern business contexts.

Related terms

• RAG (Retrieval Augmented Generation)
• LLM (Large Language Model)
• Neural Network
• Transformer
• AI Workflow

More in AI Fundamentals

• LLM (Large Language Model)
• Token
• Context Window
• Temperature
• AI Hallucination
• Fine-tuning
• RAG (Retrieval Augmented Generation)
• API

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