New design (#79)

* remover open source title, added docker icon on hero banner * buttons, fixes for mobile view * code widget fix * removed copying of text * changed size and positioning of the docker icon, added a link to dockerhub, some styles for mobiles * hid an installation section and an imapge on hero-banner for small mobile devices * exchanged images * fixed svg images * tutorial button => demos button, svg optimisation * removed background * new colors, separated file for the header * cleaned some redunant styles for the header * more changes according to the new design * fixed buttons animation, fixed the header on all pages for desktop * mobile view for the header and the top banner * changed the features section according to new design * moved styles for the features section to the separated file, some fixes for mobile view * reorganised lines in features-section.scss * changes slides on the main page - desctop view * added a file * autoscroll, some fixes * added an autoplay and a pause on mouseenter to the carousel on the home page * more styles * styles for articles section and subscribtion section * styles for footer * styles * footer background * fixes * more fixes * fixes for mobile devices - small sizes * fixes for mobile devices - medium sizes * update images * some fixes for mobiles, changed stack section * changed the second header (aka section title) according to new design * WIP: added some webpack configuration for updating a way of vendors scripts usage, added new carousel * replaced old slider to splidejs * fix for the slider * articles list page * article - single page * refactored main.scss, removed unused code from it and moved sections styles to separated files * renamed and added some files, added fixes to breadcrumbs * small changes in styles and layouts * vertical sizes * changes of styles and structure in articles and blog related files * added mobile styles for articles and related pages, added sass function for converting px to rem * temp picture * changes in page title * changed colors on old pages to the new design schema * fixes * deleted a file qdrant.css, moved styles to main.scss * installed qdrant-page-search, for now without an actual api url * added an actual api url * WIP replacing owl carousel with splide on the surveys page * updated page search, changed a way it's used * fixes for footer * changed common auto-container width, article font-size, made some fixes * docs auto-sync * narrow articles * re-imported blog styles, because they are used in other places * updated page-search * optimized css loading * replaced some images with webp format * undo main img, changes in image usage * fixes * fixed slider cursor, logos in the stack section, cards on solutions page, prices page * changed font-size of a form title on the subscription page * optimization * wip: added bash script for article preview images processing * bash script for article preview images processing * updated images for articles * two article card in the row, without buttons (#85) * fixes for old pages * fixes for benchmarks pages * added some info to the readme * upd case studies * changed form placeholder color and margin between buttons in the header * short solution texts + link to benchmarks on main * pricing page fixes * short text in slider * article cards borders, slider height, contact us * blockquote * move external articles to the landing * more narrow buttons in the header, no buttons on the solutions page * demo page fixes, removed target blank from the benchmarks link on the main page * slower speed of the carousel on the main page * content changes + seach upd * changed title, readme * added translate3d(0, 0, 0) to buttons for safari animations * fixing buttons in safari (maybe) * fixing buttons in safari (maybe) * fixing buttons in safari * fixes for mobiles * fixes * docs auto-sync * neural -> vector Co-authored-by: Andrey Vasnetsov <andrey@vasnetsov.com> Co-authored-by: qdrant <qdrant@users.noreply.github.com>
2026-09-25 22:18:30 +02:00 · 2022-10-31 14:21:21 +01:00
parent 5913a8c448
commit 6935178dc4
209 changed files with 7977 additions and 31340 deletions
@@ -1,6 +1,6 @@
 ---
 title: Use Cases
-section_title: Use Cases
+section_title: Apps and Ideas Qdrant made possible
 type: page
 description: Potential applications, business cases and startup ideas you can build with Qdrant
 ---
@@ -1,11 +1,9 @@
 ---
 title: Advertising
 icon: ad-campaign
-custom_link_name: Article by Twitter
-custom_link: https://www.sciencedirect.com/science/article/abs/pii/S0925231217308445
 sitemapExclude: True
 ---

 User interests cannot be described with rules, and that's where neural networks come in. 
 Qdrant 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. 
+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).
@@ -1,11 +1,10 @@
 ---
 title: Customer Support and Sales Optimization
 icon: customer-service
-custom_link_name: Sentence Embeddings for Customer Support
-custom_link: https://blog.floydhub.com/automate-customer-support-part-one/
 sitemapExclude: True
 ---

 Current advances in NLP can reduce the retinue work of customer service by up to 80 percent.
 No more answering the same questions over and over again. A chatbot will do that, and people can focus on complex problems.
 But not only automated answering, it is also possible to control the quality of the department and automatically identify flaws in conversations.
+Read more about the "[Sentence Embeddings for Customer Support](https://blog.floydhub.com/automate-customer-support-part-one/)" case study.
@@ -2,12 +2,13 @@
 title: E-Commerce Search
 icon: dairy-products
 weight: 30
-custom_link_name: Paper by The Home Depot
-custom_link: https://arxiv.org/abs/2104.07572
 sitemapExclude: True
 ---

 Increase your online basket size and revenue with the AI-powered search.
 No need in manually assembled synonym lists, neural networks get the context better.
 With neural approach the search results could be not only precise, but also **personalized**.
-And Qdrant will be the backbone of this search.
+And Qdrant will be the backbone of this search. 
+
+Read more about [Deep Learning-based Product Recommendations](https://arxiv.org/abs/2104.07572) in the paper by The Home Depot.
+
@@ -1,14 +1,11 @@
 ---
 title: Biometric identification
 icon: face-scan
-custom_link_name: Face Recognition Paper
-custom_link: https://arxiv.org/abs/1810.06951v1
-custom_link_name2: Speaker Recognition Paper
-custom_link2: https://arxiv.org/abs/2003.11982
 sitemapExclude: True
 ---

 Not only totalitarian states use facial recognition. 
 With this technology, you can also improve the user experience and simplify authentication.
 Make it possible to pay without a credit card and buy in the store without cashiers.
-And the scalable face recognition technology is based on vector search, which is what Qdrant provides.
+And the scalable face recognition technology is based on vector search, which is what Qdrant provides.
+Some of the many articles on the topic of [Face Recognition](https://arxiv.org/abs/1810.06951v1) and [Speaker Recognition](https://arxiv.org/abs/2003.11982).
@@ -12,3 +12,4 @@ sitemapExclude: True
 Empower shoppers to find the items they want by uploading any image or browsing through a gallery instead of searching with keywords.
 A visual similarity search helps solve this problem. And with the advanced filters that Qdrant provides, you can be sure to have the right size in stock for the jacket the user finds.

+Large companies like [Zalando](https://engineering.zalando.com/posts/2018/02/search-deep-neural-network.html) are investing in it, but we also made our [demo](https://qdrant.to/fashion-search-demo) using public dataset.
@@ -1,8 +1,6 @@
 ---
 title: Fintech
 icon: bank
-custom_link_name: Related Research
-custom_link: https://arxiv.org/abs/1808.05492
 sitemapExclude: True
 ---

@@ -11,3 +9,4 @@ One way to solve the problem is to look for similar cheating behaviors.
 But often this is not enough and manual rules come into play.
 Qdrant allows you to combine both approaches because it provides a way to filter the result using arbitrary conditions.
 And all this can happen in the time till the client takes his hand off the terminal.
+Here is some related [research paper](https://arxiv.org/abs/1808.05492).
@@ -2,11 +2,9 @@
 title: Food Discovery
 weight: 20
 icon: search
-custom_link_name: Our Demo
-custom_link: https://qdrant.to/food-discovery
 sitemapExclude: True
 ---

 There are multiple ways to discover things, text search is not the only one. 
 In the case of food, people rely more on appearance than description and ingredients.
-So why not let people choose their next lunch by its appearance, even if they don't know the name of the dish?
+So why not let people choose their next lunch by its appearance, even if they don't know the name of the dish? We made a [demo](https://qdrant.to/food-discovery) to showcase this approach.
@@ -1,11 +1,9 @@
 ---
 title: Law Case Search
 icon: hammer
-custom_link_name: Related Research
-custom_link: https://arxiv.org/abs/2004.12307
 sitemapExclude: True
 ---

 The wording of court decisions can be difficult not only for ordinary people, but sometimes for the lawyers themselves.
 It is rare to find words that exactly match a similar precedent. 
-That's where AI, which has seen hundreds of thousands of court decisions and can compare them, can help.
+That's where AI, which has seen hundreds of thousands of court decisions and can compare them, can help. Here is some related [research](https://arxiv.org/abs/2004.12307).
@@ -1,11 +1,9 @@
 ---
 title: Media and Games
 icon: game-controller
-custom_link_name: Related Research
-custom_link: https://arxiv.org/abs/1803.00202
 sitemapExclude: True
 ---

 Personalized recommendations for music, movies, games, and other entertainment content are also some sort of search.
 Except the query in it is not a text string, but user preferences and past experience.
-And with Qdrant, user preference vectors can be updated in real-time, no need to deploy a MapReduce cluster.
+And with Qdrant, user preference vectors can be updated in real-time, no need to deploy a MapReduce cluster. Read more about "[Metric Learning Recommendation System](https://arxiv.org/abs/1803.00202)"
@@ -1,11 +1,10 @@
 ---
 title: Medical Diagnostics
 icon: x-rays
-custom_link_name: Related Research
-custom_link: https://www.sciencedirect.com/science/article/abs/pii/S0925231217308445
 sitemapExclude: True
 ---

 The growing volume of data and the increasing interest in the topic of health care is creating products to help doctors with diagnostics.
 One such product might be a search for similar cases in an ever-expanding database of patient histories.
-Search not only by symptom description, but also by data from, for example, MRI machines.
+Search not only by symptom description, but also by data from, for example, MRI machines.
+Vector Search [is applied](https://www.sciencedirect.com/science/article/abs/pii/S0925231217308445) even here.