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fix typos (#124)

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Timo Kösters
2023-03-26 19:34:11 +02:00
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commit 47b016ddde
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qdrant-landing/content/demo/demo-3.md
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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
qdrant-landing/content/solutions/_index.md
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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.
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qdrant-landing/content/use-cases/advertising.md
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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).