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<!DOCTYPE html>
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<title>Welcome to Vector AI’s documentation! — vectorai 0.1.0 documentation</title>
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<li class="toctree-l1"><a class="reference internal" href="intro.html">Vector AI - Essentials</a></li>
<li class="toctree-l1"><a class="reference internal" href="quickstart.html">QuickStart</a></li>
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<p class="caption"><span class="caption-text">Guides</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="industry_ecommerce.html">Vector Search / Nearest Neighbors</a></li>
<li class="toctree-l1"><a class="reference internal" href="industry_ecommerce.html#Search">Search</a></li>
<li class="toctree-l1"><a class="reference internal" href="industry_ecommerce.html#Collection-Metadata">Collection Metadata</a></li>
<li class="toctree-l1"><a class="reference internal" href="industry_ecommerce.html#Advanced-Search">Advanced Search</a></li>
<li class="toctree-l1"><a class="reference internal" href="industry_ecommerce.html#Advanced-Vector-Search">Advanced Vector Search</a></li>
<li class="toctree-l1"><a class="reference internal" href="industry_ecommerce.html#Vector-based-Recommendations-(Search-by-Id)">Vector based Recommendations (Search by Id)</a></li>
<li class="toctree-l1"><a class="reference internal" href="industry_ecommerce.html#Vector-Analytics/Aggregation">Vector Analytics/Aggregation</a></li>
<li class="toctree-l1"><a class="reference internal" href="vector_analytics_example.html">Clustering</a></li>
<li class="toctree-l1"><a class="reference internal" href="vector_analytics_example.html#Dimensionality-Reduction">Dimensionality Reduction</a></li>
<li class="toctree-l1"><a class="reference internal" href="vector_analytics_example.html#Visualisations-(Advanced)">Visualisations (Advanced)</a></li>
<li class="toctree-l1"><a class="reference internal" href="custom_encodings_example.html">Custom Encodings</a></li>
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<p class="caption"><span class="caption-text">Case Studies</span></p>
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<li class="toctree-l1"><a class="reference internal" href="industry_nba_players.html">Example - Vector Recommendations With NBA Players</a></li>
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<li class="toctree-l1"><a class="reference internal" href="array_dict_vectorizer.html">Array & Dictionary</a></li>
<li class="toctree-l1"><a class="reference internal" href="dimensionality_reduction.html">Dimensionality Reduction</a></li>
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<div class="section" id="welcome-to-vector-ai-s-documentation">
<h1>Welcome to Vector AI’s documentation!<a class="headerlink" href="#welcome-to-vector-ai-s-documentation" title="Permalink to this headline">¶</a></h1>
<a class="reference internal image-reference" href="https://getvectorai.com/assets/logo-with-text.png"><img alt="Vector AI" src="https://getvectorai.com/assets/logo-with-text.png" style="width: 600px;" /></a>
<p>Vector AI aims to store vectors alongside documents (text/audio/images/videos).
It is designed to be a light-weight library to create/manipulate/search and analyse the
underlying vectors to power machine learning applications such as semantic
search, recommendations, etc.</p>
<ul class="simple">
<li><p>Our REST API documentation can be found here: <a class="reference external" href="https://api.vctr.ai/documentation">https://api.vctr.ai/documentation</a></p></li>
<li><p>Our discord can be found here: <a class="reference external" href="https://discord.gg/CbwUxyD">https://discord.gg/CbwUxyD</a></p></li>
</ul>
<p>Features:</p>
<blockquote>
<div><ul class="simple">
<li><p><strong>Multimedia Data Vectorisation</strong>: Image2Vec, Audio2Vec, etc (Any data can be turned into vectors through machine learning)</p></li>
<li><p><strong>Vector Similarity Search</strong>: Enable searching of vectors and rich multimedia with vector similarity search. The backbone of many popular A.I use cases like reverse image search, recommendations, personalisation, etc.</p></li>
<li><p><strong>Vector Operations</strong>: Flexible search with out of the box operations on vectors. e.g. mean, median, sum, etc.</p></li>
<li><p><strong>Aggregation</strong>: All the traditional aggregation you’d expect. e.g. group by mean, pivot tables, etc</p></li>
<li><p><strong>Clustering</strong>: Interpret your vectors and data by allocating them to buckets and get statistics about these different buckets based on data you provide.</p></li>
<li><p><strong>Vector Analytics</strong>: Get better understanding of your vectors by using out-of-the-box practical vector analytics, giving you better understanding of the quality of your vectors.</p></li>
</ul>
</div></blockquote>
<div class="section" id="why-vector-ai-compared-to-other-nearest-neighbor-implementations">
<h2>Why Vector AI compared to other Nearest Neighbor implementations?<a class="headerlink" href="#why-vector-ai-compared-to-other-nearest-neighbor-implementations" title="Permalink to this headline">¶</a></h2>
<ul class="simple">
<li><p><strong>Production Ready</strong>: Our API is fully managed and can scale to power
hundreds of millions of searches a day. Even at millions of searches
it is blazing fast through edge caching, gpus and software
optisation. So you never have to worry about scaling your
infastructure as your use case scales.</p></li>
<li><p><strong>Richer understanding of your vectors and their properties</strong>: Our
library is designed to allow people to not just designed to obtain
nearest neighbors but to actually use in production-ready search
systems - allowing users to analyse, iterate, improve and
productionise their vectors the moment they are added to the index.</p></li>
<li><p><strong>Simple to use. Quick to get started.</strong>: One of our core design
principles is that we focus a lot on how people can get started on
using Vector AI as quickly as possible, while having a tonne of
functionality and customisability options.</p></li>
<li><p><strong>Framework agnostic</strong>: We are never going to force a specific
framework on Vector AI. If you have a framework of choice, you can use
it - as long as your documents are JSON-serializable!</p></li>
<li><p><strong>Store vector data with ease</strong>: The document-orientated nature for
Vector AI allows users to label, filter search and understand their
vectors as much as possible. We think that other libraries that
simply provide a nearest-neighbor implementation do not have as rich
functionality.</p></li>
</ul>
<div class="section" id="how-to-install">
<h3>How to install<a class="headerlink" href="#how-to-install" title="Permalink to this headline">¶</a></h3>
<p>To install vectorai, run the following</p>
<div class="highlight-RST notranslate"><div class="highlight"><pre><span></span>pip install vectorai
</pre></div>
</div>
<p>To install from source, clone the repository and then run</p>
<div class="highlight-RST notranslate"><div class="highlight"><pre><span></span>cd vectorai
pip install -e .
</pre></div>
</div>
</div>
<div class="section" id="schema">
<h3>Schema<a class="headerlink" href="#schema" title="Permalink to this headline">¶</a></h3>
<p>We have a very simple schema to follow to allow you to optimise functionality with vector search:</p>
<table class="colwidths-given docutils align-default" id="id1">
<caption><span class="caption-text">Schema Rules</span><a class="headerlink" href="#id1" title="Permalink to this table">¶</a></caption>
<colgroup>
<col style="width: 25%" />
<col style="width: 75%" />
</colgroup>
<thead>
<tr class="row-odd"><th class="head"><p>Field</p></th>
<th class="head"><p>Purpose</p></th>
</tr>
</thead>
<tbody>
<tr class="row-even"><td><p>_id</p></td>
<td><p>ID of the document. These need to be unique for the document.</p></td>
</tr>
<tr class="row-odd"><td><p>_vector_</p></td>
<td><p>These are required to label the vectors for vector search.</p></td>
</tr>
</tbody>
</table>
<div class="toctree-wrapper compound">
<p class="caption"><span class="caption-text">Contents</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="intro.html">Vector AI - Essentials</a><ul>
<li class="toctree-l2"><a class="reference internal" href="intro.html#important-terminologies">Important Terminologies</a></li>
<li class="toctree-l2"><a class="reference internal" href="intro.html#documents-in-vector-ai">Documents in Vector AI</a></li>
<li class="toctree-l2"><a class="reference internal" href="intro.html#models-with-vector-ai">Models With Vector AI</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="quickstart.html">QuickStart</a><ul>
<li class="toctree-l2"><a class="reference internal" href="quickstart.html#Build-Image-Search-In-5-Minutes">Build Image Search In 5 Minutes</a></li>
<li class="toctree-l2"><a class="reference internal" href="quickstart.html#Build-Audio-Search-in-5-Minutes">Build Audio Search in 5 Minutes</a></li>
<li class="toctree-l2"><a class="reference internal" href="quickstart.html#Build-Text-QA-Search-in-5-minutes">Build Text QA Search in 5 minutes</a></li>
</ul>
</li>
</ul>
</div>
<div class="toctree-wrapper compound">
<p class="caption"><span class="caption-text">Guides</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="industry_ecommerce.html">Vector Search / Nearest Neighbors</a></li>
<li class="toctree-l1"><a class="reference internal" href="industry_ecommerce.html#Search">Search</a><ul>
<li class="toctree-l2"><a class="reference internal" href="industry_ecommerce.html#Hybrid-Search">Hybrid Search</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="industry_ecommerce.html#Collection-Metadata">Collection Metadata</a></li>
<li class="toctree-l1"><a class="reference internal" href="industry_ecommerce.html#Advanced-Search">Advanced Search</a><ul>
<li class="toctree-l2"><a class="reference internal" href="industry_ecommerce.html#Using-Facets-and-Filters-in-search">Using Facets and Filters in search</a><ul>
<li class="toctree-l3"><a class="reference internal" href="industry_ecommerce.html#Using-facets-and-filters-in-vector-search">Using facets and filters in vector search</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="industry_ecommerce.html#Advanced-Vector-Search">Advanced Vector Search</a><ul>
<li class="toctree-l2"><a class="reference internal" href="industry_ecommerce.html#Multi-vector-search">Multi vector search</a><ul>
<li class="toctree-l3"><a class="reference internal" href="industry_ecommerce.html#By-Sum">By Sum</a></li>
<li class="toctree-l3"><a class="reference internal" href="industry_ecommerce.html#Without-Sum">Without Sum</a></li>
<li class="toctree-l3"><a class="reference internal" href="industry_ecommerce.html#Multi-vector-search-with-different-weightings:">Multi vector search with different weightings:</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="industry_ecommerce.html#Vector-based-Recommendations-(Search-by-Id)">Vector based Recommendations (Search by Id)</a><ul>
<li class="toctree-l2"><a class="reference internal" href="industry_ecommerce.html#Single-Item-Recommendation-(One-->-Many)">Single Item Recommendation (One -> Many)</a><ul>
<li class="toctree-l3"><a class="reference internal" href="industry_ecommerce.html#Advanced-Recommendations-With-Multiple-Vectors">Advanced Recommendations With Multiple Vectors</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="industry_ecommerce.html#Multi-Item-Recommendations-(Many-->-Many)">Multi Item Recommendations (Many -> Many)</a></li>
<li class="toctree-l2"><a class="reference internal" href="industry_ecommerce.html#Combining-Query-+-Recommendation">Combining Query + Recommendation</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="industry_ecommerce.html#Vector-Analytics/Aggregation">Vector Analytics/Aggregation</a><ul>
<li class="toctree-l2"><a class="reference internal" href="industry_ecommerce.html#Traditional-aggregation">Traditional aggregation</a></li>
<li class="toctree-l2"><a class="reference internal" href="industry_ecommerce.html#Aggregations-can-also-be-published">Aggregations can also be published</a></li>
<li class="toctree-l2"><a class="reference internal" href="industry_ecommerce.html#Basic-Vector-Analytics">Basic Vector Analytics</a></li>
<li class="toctree-l2"><a class="reference internal" href="industry_ecommerce.html#Clean-up">Clean up</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="vector_analytics_example.html">Clustering</a><ul>
<li class="toctree-l2"><a class="reference internal" href="vector_analytics_example.html#Quickstart-Clustering">Quickstart Clustering</a></li>
<li class="toctree-l2"><a class="reference internal" href="vector_analytics_example.html#Custom-clustering-of-the-vectors">Custom clustering of the vectors</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="vector_analytics_example.html#Dimensionality-Reduction">Dimensionality Reduction</a><ul>
<li class="toctree-l2"><a class="reference internal" href="vector_analytics_example.html#Quickstart-Dimensionality-Reduction">Quickstart Dimensionality Reduction</a></li>
<li class="toctree-l2"><a class="reference internal" href="vector_analytics_example.html#Custom-Dimensionality-Reduction">Custom Dimensionality Reduction</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="vector_analytics_example.html#Visualisations-(Advanced)">Visualisations (Advanced)</a><ul>
<li class="toctree-l2"><a class="reference internal" href="vector_analytics_example.html#Plotting-Dimensionality-Reduced-Vectors">Plotting Dimensionality-Reduced Vectors</a></li>
<li class="toctree-l2"><a class="reference internal" href="vector_analytics_example.html#1D-Cosine-Similarity">1D Cosine Similarity</a><ul>
<li class="toctree-l3"><a class="reference internal" href="vector_analytics_example.html#Using-With-Single-Vector">Using With Single Vector</a></li>
<li class="toctree-l3"><a class="reference internal" href="vector_analytics_example.html#Using-With-Multiple-Vectors">Using With Multiple Vectors</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="vector_analytics_example.html#Plotting-Cosine-Similarity-with-2-Documents">Plotting Cosine Similarity with 2 Documents</a></li>
<li class="toctree-l2"><a class="reference internal" href="vector_analytics_example.html#Radar-Plots">Radar Plots</a></li>
<li class="toctree-l2"><a class="reference internal" href="vector_analytics_example.html#Editing-Plots">Editing Plots</a></li>
<li class="toctree-l2"><a class="reference internal" href="vector_analytics_example.html#Comparing-Tables">Comparing Tables</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="custom_encodings_example.html">Custom Encodings</a><ul>
<li class="toctree-l2"><a class="reference internal" href="custom_encodings_example.html#How-To-Write-Custom-Encoders">How To Write Custom Encoders</a></li>
<li class="toctree-l2"><a class="reference internal" href="custom_encodings_example.html#Training-On-Transformers">Training On Transformers</a></li>
</ul>
</li>
</ul>
</div>
<div class="toctree-wrapper compound">
<p class="caption"><span class="caption-text">Case Studies</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="industry_nba_players.html">Example - Vector Recommendations With NBA Players</a><ul>
<li class="toctree-l2"><a class="reference internal" href="industry_nba_players.html#Visualising-NBA-players">Visualising NBA players</a></li>
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<p class="caption"><span class="caption-text">Frequently Asked Questions</span></p>
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<li class="toctree-l2"><a class="reference internal" href="FAQ.html#i-got-a-jsondecodeerror-how-do-i-resolve-this">I got a JSONDecodeError. How do I resolve this?</a></li>
<li class="toctree-l2"><a class="reference internal" href="FAQ.html#does-the-engine-run-on-a-nearest-neighbor-implementation">Does the engine run on a nearest neighbor implementation?</a></li>
<li class="toctree-l2"><a class="reference internal" href="FAQ.html#when-i-insert-a-document-with-the-same-id-what-happens-to-the-document">When I insert a document with the same ID what happens to the document?</a></li>
<li class="toctree-l2"><a class="reference internal" href="FAQ.html#how-do-i-add-a-new-field-in-a-collection">How do I add a new field in a collection?</a></li>
<li class="toctree-l2"><a class="reference internal" href="FAQ.html#how-do-i-get-more-search-results">How do I get more search results?</a></li>
<li class="toctree-l2"><a class="reference internal" href="FAQ.html#are-there-any-limits-to-the-api-request-calls">Are there any limits to the API request calls?</a></li>
<li class="toctree-l2"><a class="reference internal" href="FAQ.html#is-vector-ai-able-to-store-images-and-videos">Is Vector AI able to store images and videos?</a></li>
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<p class="caption"><span class="caption-text">Documentation</span></p>
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<li class="toctree-l1"><a class="reference internal" href="dimensionality_reduction.html">Dimensionality Reduction</a><ul>
<li class="toctree-l2"><a class="reference internal" href="dimensionality_reduction.html#id1">Dimensionality Reduction</a></li>
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<div class="section" id="indices-and-tables">
<h1>Indices and tables<a class="headerlink" href="#indices-and-tables" title="Permalink to this headline">¶</a></h1>
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