# How Text Embeddings Enable Large-Scale Comparison of Technical Documents

DevFeed: [How Text Embeddings Enable Large-Scale Comparison of Technical Documents](<https://devfeed.tech/articles/embeddings-are-underrated-31139.md>)

Original publisher: [Read original article](<https://technicalwriting.dev/2024/10/embeddings/index.html>)

Published: 2024-10-24T00:00:00Z

Content type: tutorial

Language: en

Sources: [technicalwriting.dev](<https://devfeed.tech/sources/technicalwriting-dev.md>)

Topics: [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [Machine Learning & Artificial Intelligence](<https://devfeed.tech/topics/machine-learning-artificial-intelligence.md>)

Tags: [embeddings](<https://devfeed.tech/tags/embeddings.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [ml](<https://devfeed.tech/tags/ml.md>), [technical](<https://devfeed.tech/tags/technical.md>), [technology](<https://devfeed.tech/tags/technology.md>)

## AI overview

This tutorial explains what text embeddings are, how text is converted into arrays of numbers, and why fixed-size outputs make it possible to compare arbitrary pieces of text. It also discusses multimodal embeddings and differences between providers such as Gemini and Voyage AI.

## Source excerpt

The ML technology that might end up having the biggest impact on technical writing.