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      <title>Uber Adopts Amazon OpenSearch for Semantic Search to Better Capture User Intent</title>
      <link>https://www.infoq.com/news/2025/12/uber-opensearch-vector-semantic/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Lucene-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2025/12/uber-opensearch-vector-semantic/en/headerimage/uber-open-search-semantic-1766761225870.jpeg"/&gt;&lt;p&gt;To improve search and recommendation user experiences, Uber migrated from Apache Lucene to Amazon OpenSearch to support large-scale vector search and better capture search intent. This transition introduced several infrastructure challenges, which Uber engineers addressed with targeted solutions.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Uber</category>
      <category>Amazon</category>
      <category>Lucene</category>
      <category>Apache</category>
      <category>vector databases</category>
      <category>OpenSearch</category>
      <category>Architecture &amp; Design</category>
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      <pubDate>Fri, 26 Dec 2025 16:00:00 GMT</pubDate>
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      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2025-12-26T16:00:00Z</dc:date>
      <dc:identifier>/news/2025/12/uber-opensearch-vector-semantic/en</dc:identifier>
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