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Replaced vector db to serch in content (#2189)

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* replaced "vector database" with "vector search" across the website content

# Conflicts:
#	qdrant-landing/content/headless/main/core-features.md
#	qdrant-landing/content/use-cases/_index.md

* upd wording
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trean
2026-03-12 00:40:36 +01:00
committed by GitHub
parent 305aea6b9a
commit 1d8f16f979
27 changed files with 44 additions and 43 deletions
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qdrant-landing/content/marketing/mozilla.md
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@@ -8,7 +8,7 @@ aliases:
sitemapExclude: true
heroSection:
title: High-Performance Vector Search at Scale
description: The leading open-source vector database designed to handle high-dimensional vectors for performance and massive-scale AI applications. Qdrant is purpose-built in Rust for unmatched speed and reliability even when processing billions of vectors.
description: The leading open-source vector search designed to handle high-dimensional vectors for performance and massive-scale AI applications. Qdrant is purpose-built in Rust for unmatched speed and reliability even when processing billions of vectors.
buttonLeft:
text: Start Free
link: https://cloud.qdrant.io/signup
@@ -62,7 +62,7 @@ featuresSection:
subtitle: Learn more about it in our <a href="/benchmarks/" target="_blank">performance benchmarks</a>. # not required, optional
features:
- title: Highest RPS
text: Qdrant leads with top requests-per-seconds, outperforming alternative vector databases in various datasets by up to 4x.
text: Qdrant leads with top requests-per-seconds, outperforming alternative vector search engines in various datasets by up to 4x.
icon: /marketing/mozilla/rps.svg
- title: Minimal Latency
text: "Qdrant consistently achieves the lowest latency, ensuring quicker response times in data retrieval: 3ms response for 1M Open AI embeddings, outpacing alternatives by 50x-100x."