---
title: "Embedding Relevance"
description: "How close your content's vector representation is to the user's query in semantic space."
topic: "Retrieval & Behavior"
canonical: "https://geordy.ai/glossary/retrieval-behavior/embedding-relevance"
---
# Embedding Relevance

How close your content's vector representation is to the user's query in semantic space.

Drives RAG retrieval. Improved by: writing in the same vocabulary your users actually use, including synonyms and adjacent concepts naturally, and avoiding excessive marketing language that distorts the embedding.
---

Source: https://geordy.ai/glossary/retrieval-behavior/embedding-relevance
This is a machine-readable markdown version of that page, generated by Geordy.