mirror of
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update main logo, article icons, main text headers
This commit is contained in:
Andrey Vasnetsov
@@ -24,8 +24,8 @@ keywords = "search engine, neural network, matching, filter, SaaS, approximate n
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highlightLanguages = ["python", "rust", "json", "bash"]
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yandexWebmaster = ""
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logo = "/images/logo_v3_small.png"
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logo_white = "/images/logo_v3_small_white.png"
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logo = "/images/logo_v3_small_red.png"
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logo_white = "/images/logo_v3_small_red.png"
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logo_width = "192"
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github = "https://github.com/qdrant/qdrant"
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@@ -4,6 +4,6 @@ short_description: How to make ANN search with custom filtering?
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description: How to make ANN search with custom filtering? Search in selected subsets without loosing the results.
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external_link: https://blog.vasnetsov.com/posts/categorical-hnsw/
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preview_image: /articles_data/filtrable-hnsw/preview2.png
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small_preview_image: /articles_data/filtrable-hnsw/preview_small.png
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small_preview_image: /articles_data/filtrable-hnsw/global-network.svg
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weight: 30
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---
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@@ -4,6 +4,6 @@ short_description: How to train an object matching model and serve it in product
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description: Practical recommendations on how to train an object matching model and serve it in production. Even with no labeled data.
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external_link:
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preview_image: /articles_data/metric-learning-tips/preview.png
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small_preview_image: /articles_data/metric-learning-tips/preview_small.png
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small_preview_image: /articles_data/metric-learning-tips/scatter-graph.svg
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weight: 20
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---
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@@ -4,6 +4,6 @@ short_description: Step-by-step guide on how to build a neural search service.
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description: Our step-by-step guide on how to build a neural search service with BERT + Qdrant + FastAPI.
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external_link:
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preview_image: /articles_data/neural-search-tutorial/preview.png
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small_preview_image: /articles_data/neural-search-tutorial/preview_small.png
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small_preview_image: /articles_data/neural-search-tutorial/tutorial.svg
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weight: 10
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---
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<!-- Content Column -->
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<div class="content-column col-lg-6 col-md-12 col-sm-12">
|
||||
<div class="inner-column">
|
||||
<h1><span>Qdrant</span><br>Neural Search Engine</h1>
|
||||
<h1>Neural Search Engine</h1>
|
||||
<div class="sec-title text mb-3">Build your own
|
||||
AI-powered product with Qdrant - vector similarity search engine.
|
||||
<h4 class="font-weight-bold mt-3 mb-0">It's Free and <a class="os-link" target="_blank" href="{{ .Site.Params.github }}">Open Source </a></h4>
|
||||
AI-powered product with Qdrant - <a class="os-link" target="_blank" href="{{ .Site.Params.github }}">open-source</a> vector similarity search engine.
|
||||
<br/><br/>
|
||||
Get started by downloading a pre-build Docker Image - it is only 35Mb!<br>
|
||||
|
||||
<div class="code mt-3">
|
||||
<code id="copy-code">docker pull generall/qdrant</code>
|
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|
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|
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|
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|
||||
|
||||
Take a look at our <a target="_blank" href="{{ .Site.Params.quick_start }}">Quick Start Guide</a>
|
||||
or build your own neural search <br> with our step-by-step <a target="_blank" href="{{ .Site.Params.tutorial }}">Tutorial</a>
|
||||
|
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<!-- Installation Section -->
|
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|
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<!-- <section class="installation-section">
|
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<p>Get started by downloading a pre-build Docker Image - it is only 35Mb!</p>
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|
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|
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|
||||
or build your own neural search with our step-by-step <a target="_blank" href="{{ .Site.Params.tutorial }}">Tutorial</a></p>
|
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|
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|
||||
or build your own neural search <br> with our step-by-step <a target="_blank" href="{{ .Site.Params.tutorial }}">Tutorial</a></p>
|
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@@ -19,6 +19,17 @@
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<div class="footer-title">
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|
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|
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<li> <span class="icon fa fa-star"></span> Icons made by <a href="https://www.flaticon.com/authors/srip" title="srip">srip</a> from <a href="https://www.flaticon.com/" title="Flaticon">flaticon.com</a></li>
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<h4><a href="{{ $link }}">{{ .Params.short_description }}</a></h4>
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padding-right:90px;
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display: block;
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width: 100%;
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width: 55px;
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height: auto;
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@@ -4346,7 +4346,7 @@ img{
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|
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font-weight:400;
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||||
@@ -63,11 +63,12 @@ QDRANT - RELATED
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Reference in New Issue
Block a user