---
type: "GlossaryTerm"
title: "Embedding"
description: "The numerical representation of text, images, or other data as a high-dimensional vector. Enables semantic comparison based on meaning rather than exact word ma"
resource: "https://www.contextstudios.ai/glossary/embedding"
language: "en"
tags: ["infrastructure"]
generated:
  by: "process:contextstudios-md/1"
  at: "2026-10-08T20:44:52.798Z"
status: "stable"
---

# Embedding

The numerical representation of text, images, or other data as a high-dimensional vector. Enables semantic comparison based on meaning rather than exact word matching. Foundation for RAG systems, recommendations, and semantic search.

## Business Value



Makes unstructured data searchable and comparable for AI systems. Enables 'search by meaning' instead of just keyword matching.

## Context Studios Perspective



Embeddings are the heart of modern AI search. We select the optimal embedding model for your use case – from OpenAI Ada to domain-specific models.