mirror of
https://github.com/qdrant/landing_page.git
synced 2026-10-02 17:38:31 +02:00
trean
1d8f16f979
* 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
16 lines
694 B
Markdown
16 lines
694 B
Markdown
---
|
|
caseStudy:
|
|
logo:
|
|
src: /img/customers-case-studies/customer-logo4.svg
|
|
alt: Logo Dailymotion
|
|
title: Recommendation Engine with Qdrant Vector Search
|
|
description: Dailymotion leverages Qdrant to optimize its <b>video recommendation engine</b>, managing over 420 million videos and processing 13 million recommendations daily. With this, Dailymotion was able to <b>reduced content processing times from hours to minutes</b> and <b>increased user interactions and click-through rates by more than 3x.</b>
|
|
link:
|
|
text: Read Case Study
|
|
url: /blog/case-study-dailymotion/
|
|
image:
|
|
src: /img/customers-case-studies/case-study4.png
|
|
alt: Preview
|
|
sitemapExclude: true
|
|
---
|