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| <!doctype html><html lang="en"> <script async src="https://www.googletagmanager.com/gtag/js?id=UA-180663034-1"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'UA-180663034-1'); </script><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="An open source API to convert natural language into actions."><meta name="author" content="NLPCraft."><link rel="apple-touch-icon" sizes="144x144" href="/apple-touch-icon.png"><link rel="icon" type="image/png" sizes="32x32" href="/favicon-32x32.png"><link rel="icon" type="image/png" sizes="16x16" href="/favicon-16x16.png"><link rel="manifest" href="/site.webmanifest"><link rel="mask-icon" href="/safari-pinned-tab.svg" color="#5bbad5"><meta name="msapplication-TileColor" content="#2d89ef"><meta name="theme-color" content="#ffffff"><title>Apache NLPCraft - 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Look at Google Analytics, GMail, JIRA, or many other applications that allow you to search, filter or sort their content with natural language queries. This use case is a perfect application of NLI as it naturally augments the existing UI/UX by replacing often cumbersome and hard-to-use search/filter/sort UX with a simple text box.</p><p> As a matter of fact, all major general purpose search platforms today (i.e. Google, Bing, or Siri) use NLI-enhanced approach to their search queries processing.</p><div id="chatbots" class="sub-section-title">Chatbots</div><p> NLI is clearly at the heart of any chatbot implementation. And although most initial naive implementations of chatbots have struggles to gain traction - the advancement in NLI technology is allowing modern chatbots to become gradually more sophisticated and outgrow the early "childhood" problems of parasitic dialogues, lack of contextual awareness, inability to comprehend a spoken, free-form language, and primitive rule-based logic.</p><div id="reporting" class="sub-section-title">Data Reporting</div><p> Fully deterministic NLI systems like NLPCraft provide critical technology for NLI-based data reporting. Unlike data insights analytics or data exploration, the data reporting typically cannot rely on the probabilistic nature of ML/DL-based approaches as it must provide 100% correctness in all cases.</p><p> NLPCraft employs advanced semantic modelling that provides fully deterministic results and natural language comprehension.</p></div><div class="col-6"><div id="data" class="sub-section-title">Ad-Hoc Data Exploration</div><p> One of the most exciting applications of NLI is an ad-hoc data analytics or data exploration. This is the area where the proper NLI application can bring about a fundamental seismic change to how we explore our data and discover the insights from it.</p><p> Today the most data is walled off in the silos of the individual, incompatible data systems making it mostly inaccessible to the all but a few "power" users. Very few can gain access to all the different systems in a typical company, learn all the different ways to analyse the data and master incompatible and drastically different user interfaces.</p><p> The NLI-based approach can democratize access to the sprawling silo-ed data with a single unified UX by allowing users to use the natural language to explore and analyse the data. The natural language is the only UX/UI that everyone already knows, requires no training or learning and is universal regardless of the data source.</p><div id="device" class="sub-section-title">Device Control</div><p> With the popularization of consumer technologies like Amazon Alexa, Apple HomeKit, Mercedes MBUX and similar the NLI-based control of various devices and systems becoming a norm.</p><p> While most of these systems today can only understand the rudimentary 2-3 words command the advancements in NLI technology is rapidly leading to more sophisticated interfaces. The enterprise world is starting to catch up and NLI-based systems appear today in various manufacturing, oil and gas, pharma and medical applications.</p></div></div></div></section></div><div class="col-md-2 third-column"><ul class="side-nav"><li class="side-nav-title">On This Page<li><a href="#search">NLI Search</a><li><a href="#chatbots">Chatbots</a><li><a href="#data">Data Exploration</a><li><a href="#device">Device Control</a><li class="side-nav-title">Quick Links<li> <i class="fab fa-fw fa-github mr-2"></i><a target="github" href="https://github.com/apache/incubator-nlpcraft/tree/master/nlpcraft-examples">Examples</a><li> <i class="fas fa-fw fa-book mr-2"></i><a target="_" href="/apis/latest/index.html">Scaladoc</a><li> <i class="fas fa-fw fa-download mr-2"></i><a href="/download.html">Download</a><li> <i class="fas fa-fw fa-cog mr-2"></i><a href="/installation.html">Installation</a><li class="side-nav-title">Support<li> <nobr> <i class="fab fa-fw fa-jira mr-2"></i><a target="jira" href="https://issues.apache.org/jira/projects/NLPCRAFT/issues">JIRA</a> </nobr><li> <nobr> <i class="far fa-fw fa-envelope mr-2"></i><a target="dev-list" href="https://mail-archives.apache.org/mod_mbox/nlpcraft-dev/">Dev List</a> </nobr><li> <nobr> <i class="fab fa-fw fa-stack-overflow mr-2"></i><a target="so" href="https://stackoverflow.com/questions/ask">Stack Overflow</a> </nobr><li> <nobr> <i class="fab fa-fw fa-github mr-2"></i><a target="github" href="https://github.com/apache/incubator-nlpcraft">GitHub</a> </nobr><li> <nobr> <i class="fab fa-fw fa-gitter mr-2"></i><a target="gitter" href="https://gitter.im/apache-nlpcraft/community">Gitter</a> </nobr><li> <nobr> <i class="fab fa-fw fa-twitter mr-2"></i><a target="twitter" href="https://twitter.com/ApacheNLPCraft">Twitter</a> </nobr></ul></div></div></div></div><div id="footer"><div class="container"><div class="text-muted text-center"> <span>Copyright © 2023 Apache Software Foundation</span> <span> <a target=_new href="https://apache.org"><img alt="asf" src="/images/asf_logo-h24.png"></a> </span> <a target="asf" href="https://www.apache.org/events/current-event.html" class="btn btn-link ml-4">Events</a> <span class="sep">•</span> <a target="asf" href="https://apache.org/foundation/policies/privacy.html" class="btn btn-link">Privacy</a> <span class="sep">•</span> <a href="/index.html#news" class="btn btn-link">News</a> <span class="sep">•</span> <a href="/docs.html" class="btn btn-link">Docs</a> <span class="ml-4">release: <a href="/download.html"><code>1.0.0</code></a></span> <span class="ml-2"> <a target="github" href="https://github.com/apache/incubator-nlpcraft/actions"><img alt="" src="https://github.com/apache/incubator-nlpcraft/workflows/build/badge.svg"></a> <a target=_ href="https://gitter.im/apache-nlpcraft/community"><img alt="Gitter" src="https://badges.gitter.im/apache-nlpcraft/community.svg"></a> </span> <span class="ml-2"> Built in:<a target="scala" href="https://scala-lang.org/"><img style="margin-left: 5px" src="/images/scala-logo-h16.png" alt=""></a> </span></div></div></div><script src="//code.jquery.com/jquery-3.3.1.slim.min.js" integrity="sha384-q8i/X+965DzO0rT7abK41JStQIAqVgRVzpbzo5smXKp4YfRvH+8abtTE1Pi6jizo" crossorigin="anonymous"></script> <script src="//cdnjs.cloudflare.com/ajax/libs/popper.js/1.14.0/umd/popper.min.js" integrity="sha384-cs/chFZiN24E4KMATLdqdvsezGxaGsi4hLGOzlXwp5UZB1LY//20VyM2taTB4QvJ" crossorigin="anonymous"></script> <script src="//stackpath.bootstrapcdn.com/bootstrap/4.1.0/js/bootstrap.min.js" integrity="sha384-uefMccjFJAIv6A+rW+L4AHf99KvxDjWSu1z9VI8SKNVmz4sk7buKt/6v9KI65qnm" crossorigin="anonymous"></script> <script src="//cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.4/lodash.min.js" type="text/javascript" ></script> <script src="//cdnjs.cloudflare.com/ajax/libs/moment.js/2.12.0/moment.min.js" type="text/javascript" ></script> <script src="//cdnjs.cloudflare.com/ajax/libs/moment-timezone/0.5.5/moment-timezone-with-data.min.js" type="text/javascript" ></script> <script type="text/javascript"> SyntaxHighlighter.defaults["auto-links"] = false; SyntaxHighlighter.defaults["tab-size"] = 2; SyntaxHighlighter.all(); </script> |
