From 47b016dddec9cd17750e56080f5def29344de3be Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Timo=20K=C3=B6sters?= Date: Sun, 26 Mar 2023 19:34:11 +0200 Subject: [PATCH] fix typos (#124) --- qdrant-landing/content/demo/demo-3.md | 2 +- qdrant-landing/content/solutions/_index.md | 2 +- qdrant-landing/content/use-cases/advertising.md | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/qdrant-landing/content/demo/demo-3.md b/qdrant-landing/content/demo/demo-3.md index 227bb7437..d45d8368b 100644 --- a/qdrant-landing/content/demo/demo-3.md +++ b/qdrant-landing/content/demo/demo-3.md @@ -2,7 +2,7 @@ draft: false title: E-commerce products categorization short_description: E-commerce products categorization demo from Qdrant vector database -description: This demo shows how you can use vector databse in e-commerce. Enter the name of the product and the application will understand which category it belongs to, based on the multi-language model. The dots represent clusters of products. +description: This demo shows how you can use vector database in e-commerce. Enter the name of the product and the application will understand which category it belongs to, based on the multi-language model. The dots represent clusters of products. preview_image: /demo/products_categorization_demo.jpg link: https://qdrant.to/extreme-classification-demo weight: 3 diff --git a/qdrant-landing/content/solutions/_index.md b/qdrant-landing/content/solutions/_index.md index 4b01c9ffa..14485dfc3 100644 --- a/qdrant-landing/content/solutions/_index.md +++ b/qdrant-landing/content/solutions/_index.md @@ -3,5 +3,5 @@ page_title: Vector Search Solutions title: Vector Search Solutions section_title: Challenges and tasks solved with Qdrant subtitle: Here are just a few examples of how Qdrant vector search database can help your Business -description: Elevate your business with vector search and vector databse. Tasks and challenges solved with Qdrant vector search engine. +description: Elevate your business with vector search and vector database. Tasks and challenges solved with Qdrant vector search engine. --- \ No newline at end of file diff --git a/qdrant-landing/content/use-cases/advertising.md b/qdrant-landing/content/use-cases/advertising.md index 7aa13c1c8..5b1bd4510 100644 --- a/qdrant-landing/content/use-cases/advertising.md +++ b/qdrant-landing/content/use-cases/advertising.md @@ -5,5 +5,5 @@ sitemapExclude: True --- User interests cannot be described with rules, and that's where neural networks come in. -Qdrant vector databse will allow sufficient flexibility in neural network recommendations so that each user sees only the relevant ad. +Qdrant vector database will allow sufficient flexibility in neural network recommendations so that each user sees only the relevant ad. Advanced filtering mechanisms, such as geo-location, do not compromise on speed and accuracy, which is especially important for online advertising. Check out [research article by Twitter](https://www.sciencedirect.com/science/article/abs/pii/S0925231217308445). \ No newline at end of file