add Soluions page

This commit is contained in:
Andrey Vasnetsov
2021-04-12 18:34:33 +02:00
parent 4782a49362
commit 11e7ba9b51
17 changed files with 4268 additions and 4 deletions
@@ -1,4 +1,6 @@
---
title: Use Cases and Examples For <span>Your Business</span>
page_title: Solutions
subtitle: Build your next AI project with Qdrant. Here are just a few examples of applications for which Qdrant can be helpful.
description: Tasks and Problems solved with Qdrant
---
@@ -0,0 +1,16 @@
---
title: Chat Bots
icon: bot
tabid: chatbot
image: /content/images/chat_bots.png
image_caption: Automated FAQ
source_link:
demo_link:
tutorial_link:
custom_link:
custom_link_name:
weight: 40
short_description: |
Semantic search for similar phrases is one of the key technologies for building chatbots.
In combination with conversation scripts, modern pre-trained NLP models and Qdant, it is possible to build an automated FAQ answering system.
---
@@ -6,10 +6,15 @@ image: /content/images/image_search.png
image_caption: Visual Food Discovery
source_link: https://github.com/qdrant/food_exploration
demo_link: https://food-discovery.qdrant.tech/
default_link: https://food-discovery.qdrant.tech/
default_link_name: Demo
tutorial_link:
custom_link:
custom_link_name:
weight: 20
short_description: |
Find similar images, detect duplicates, or even find a picture by text description - all of that you can do with Qdrant.
Mostly you won't even need to train a neural network for that. Pre-trained models are usually enough to begin with.
---
Sometimes text search is not enough.
@@ -0,0 +1,16 @@
---
title: Matching Engines
icon: compare-1
tabid: matching
image: /content/images/matching_engines.png
image_caption: Matching Engines
source_link:
demo_link:
tutorial_link:
custom_link:
custom_link_name:
weight: 40
short_description: |
Matching semantically complex objects is a special case of search.
Usually a large number of additional conditions are used in matching, which makes Qdrant an ideal tool for building such systems.
---
@@ -10,9 +10,13 @@ tutorial_link:
custom_link:
custom_link_name:
weight: 30
short_description: |
User behavior can be represented as a semantic vector is similar way as text or images.
Qdrant allows you to create a recommendation engine with custom filters and real-time updates.
No need to deploy a MapReduce cluster.
---
Users, like text and pictures, can be represented as a semantic vector.
User behavior can be represented as a semantic vector is similar way as text or images.
This vector can represent the user's preferences, behavior patterns, or interest in the product.
With Qdrant, user vectors can be updated in real-time, no need to deploy a MapReduce cluster.\
@@ -1,15 +1,20 @@
---
title: Semantic Sext Search
title: Semantic Text Search
tabid: textsearch
icon: paper
image: /content/images/text_search.png
image_caption: Neural Text Search
source_link: https://github.com/qdrant/qdrant_demo
demo_link: https://demo.qdrant.tech/
default_link: https://demo.qdrant.tech/
default_link_name: Demo
tutorial_link:
custom_link:
custom_link_name:
weight: 10
short_description: |
The neural search uses **semantic embeddings** instead of keywords and works best with short texts.
With Qdrant and a pre-trained neural network, you can build and deploy semantic neural search on your data in minutes!
---
In many cases, the usual full-text search does not give the desired result.
@@ -1,5 +1,6 @@
---
title: Use Cases
page_title: Use Cases
type: page
description: Potential applications, business cases and startup ideas you can build with Qdrant
---
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@@ -2,10 +2,10 @@
<section class="page-title">
<div class="pattern-layer" style="background-image: url(/images/background/pattern-12.png)"></div>
<div class="auto-container">
<h1> {{ .Title }}</h1>
<h1> {{ .Params.page_title | safeHTML }}</h1>
<ul class="bread-crumb clearfix">
<li><a href="/"><i class="flaticon-home small"></i> Home</a></li>
<li>{{ .Title }}</li>
<li>{{ .Params.page_title | safeHTML }}</li>
</ul>
</div>
</section>
@@ -0,0 +1,9 @@
{{- partial "header.html" . -}}
{{- partial "second_header.html" . -}}
<div id="content">
{{ block "main" . }}{{ end }}
</div>
{{- partial "footer.html" . -}}
@@ -0,0 +1,50 @@
{{ define "main" }}
<section>
<div class="auto-container pt-5">
<div class="row clearfix">
<div class="col-12 sec-title text-center">
<h4>{{ .Params.description }}</h4>
<div class="text">
</div>
</div>
{{ range .Pages }}
{{ if .Params.short_description }}
<div class="col-lg-4 col-md-6 col-sm-12">
<!-- News block Two -->
<div class="news-block-two">
<div class="inner-box">
<div class="upper-box">
<h4><a href="blog-detail.html">{{ .Title }}</a></h4>
<!-- <div class="category">{{ .Params.subtitle }}</div> -->
</div>
<div class="image">
<a data-caption="{{ .Params.image_caption }}"><img src="{{ .Params.image }}" alt="" /></a>
</div>
<div class="lower-box">
<div class="clearfix">
<p>{{ .Params.short_description | markdownify }}</p>
<div class="pull-right">
{{ if .Params.default_link }}
<a href="{{ .Params.default_link }}" class="theme-btn btn-style-five"><span
class="txt">{{ .Params.default_link_name }}</span></a>
{{ else }}
<a href="#" class="theme-btn btn-style-five btn-small"><span class="txt">Learn More...</span></a>
{{end}}
</div>
</div>
</div>
</div>
</div>
</div>
{{ end }}
{{ end }}
</div>
</div>
</section>
{{ end }}
@@ -0,0 +1,2 @@
{{ define "main" }}
{{ end }}