---
title: "Embeddings"
description: "Embeddings turn text (or images, audio) into lists of numbers that capture meaning, so a computer can measure how similar two pieces of content are."
canonical: "https://www.whatsnext-ai.com/glossary/embeddings"
---

# Embeddings

Embeddings turn text (or images, audio) into lists of numbers that capture meaning, so a computer can measure how similar two pieces of content are.

## Definition

They power semantic search and retrieval-augmented generation. By embedding your documents and a user’s question into the same space, a system finds the passages that actually answer the question, even when they share no keywords.

## Related

- [AI-Ready Data](https://www.whatsnext-ai.com/ai-ready-data)
- [Custom AI Development](https://www.whatsnext-ai.com/custom-ai-development)

## Source

Google Machine Learning Glossary (https://developers.google.com/machine-learning/glossary)
