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add Soluions page
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---
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title: Use Cases and Examples For <span>Your Business</span>
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page_title: Solutions
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subtitle: Build your next AI project with Qdrant. Here are just a few examples of applications for which Qdrant can be helpful.
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description: Tasks and Problems solved with Qdrant
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---
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---
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title: Chat Bots
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icon: bot
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tabid: chatbot
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image: /content/images/chat_bots.png
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image_caption: Automated FAQ
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source_link:
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demo_link:
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tutorial_link:
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custom_link:
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custom_link_name:
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weight: 40
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short_description: |
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Semantic search for similar phrases is one of the key technologies for building chatbots.
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In combination with conversation scripts, modern pre-trained NLP models and Qdant, it is possible to build an automated FAQ answering system.
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---
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@@ -6,10 +6,15 @@ image: /content/images/image_search.png
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image_caption: Visual Food Discovery
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source_link: https://github.com/qdrant/food_exploration
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demo_link: https://food-discovery.qdrant.tech/
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default_link: https://food-discovery.qdrant.tech/
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default_link_name: Demo
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tutorial_link:
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custom_link:
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custom_link_name:
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weight: 20
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short_description: |
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Find similar images, detect duplicates, or even find a picture by text description - all of that you can do with Qdrant.
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Mostly you won't even need to train a neural network for that. Pre-trained models are usually enough to begin with.
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---
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Sometimes text search is not enough.
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---
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title: Matching Engines
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icon: compare-1
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tabid: matching
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image: /content/images/matching_engines.png
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image_caption: Matching Engines
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source_link:
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demo_link:
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tutorial_link:
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custom_link:
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custom_link_name:
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weight: 40
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short_description: |
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Matching semantically complex objects is a special case of search.
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Usually a large number of additional conditions are used in matching, which makes Qdrant an ideal tool for building such systems.
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---
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@@ -10,9 +10,13 @@ tutorial_link:
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custom_link:
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custom_link_name:
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weight: 30
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short_description: |
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User behavior can be represented as a semantic vector is similar way as text or images.
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Qdrant allows you to create a recommendation engine with custom filters and real-time updates.
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No need to deploy a MapReduce cluster.
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---
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Users, like text and pictures, can be represented as a semantic vector.
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User behavior can be represented as a semantic vector is similar way as text or images.
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This vector can represent the user's preferences, behavior patterns, or interest in the product.
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With Qdrant, user vectors can be updated in real-time, no need to deploy a MapReduce cluster.\
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@@ -1,15 +1,20 @@
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---
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title: Semantic Sext Search
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title: Semantic Text Search
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tabid: textsearch
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icon: paper
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image: /content/images/text_search.png
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image_caption: Neural Text Search
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source_link: https://github.com/qdrant/qdrant_demo
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demo_link: https://demo.qdrant.tech/
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default_link: https://demo.qdrant.tech/
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default_link_name: Demo
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tutorial_link:
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custom_link:
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custom_link_name:
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weight: 10
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short_description: |
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The neural search uses **semantic embeddings** instead of keywords and works best with short texts.
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With Qdrant and a pre-trained neural network, you can build and deploy semantic neural search on your data in minutes!
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---
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In many cases, the usual full-text search does not give the desired result.
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---
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title: Use Cases
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page_title: Use Cases
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type: page
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description: Potential applications, business cases and startup ideas you can build with Qdrant
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---
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<section class="page-title">
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<div class="pattern-layer" style="background-image: url(/images/background/pattern-12.png)"></div>
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<div class="auto-container">
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<h1> {{ .Title }}</h1>
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<h1> {{ .Params.page_title | safeHTML }}</h1>
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<ul class="bread-crumb clearfix">
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<li><a href="/"><i class="flaticon-home small"></i> Home</a></li>
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<li>{{ .Title }}</li>
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<li>{{ .Params.page_title | safeHTML }}</li>
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</ul>
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</div>
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</section>
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{{- partial "header.html" . -}}
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{{- partial "second_header.html" . -}}
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<div id="content">
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{{ block "main" . }}{{ end }}
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</div>
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{{- partial "footer.html" . -}}
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{{ define "main" }}
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<section>
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<div class="auto-container pt-5">
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<div class="row clearfix">
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<div class="col-12 sec-title text-center">
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<h4>{{ .Params.description }}</h4>
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<div class="text">
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</div>
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</div>
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{{ range .Pages }}
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{{ if .Params.short_description }}
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<div class="col-lg-4 col-md-6 col-sm-12">
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<!-- News block Two -->
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<div class="news-block-two">
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<div class="inner-box">
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<div class="upper-box">
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<h4><a href="blog-detail.html">{{ .Title }}</a></h4>
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<!-- <div class="category">{{ .Params.subtitle }}</div> -->
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</div>
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<div class="image">
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<a data-caption="{{ .Params.image_caption }}"><img src="{{ .Params.image }}" alt="" /></a>
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</div>
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<div class="lower-box">
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<div class="clearfix">
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<p>{{ .Params.short_description | markdownify }}</p>
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<div class="pull-right">
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{{ if .Params.default_link }}
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<a href="{{ .Params.default_link }}" class="theme-btn btn-style-five"><span
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class="txt">{{ .Params.default_link_name }}</span></a>
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{{ else }}
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<a href="#" class="theme-btn btn-style-five btn-small"><span class="txt">Learn More...</span></a>
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{{end}}
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</div>
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</div>
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</div>
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</div>
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</div>
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</div>
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{{ end }}
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{{ end }}
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</div>
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</div>
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</section>
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{{ end }}
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{{ define "main" }}
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{{ end }}
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