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      <title>MongoDB Introduces Embedding and Reranking API on Atlas</title>
      <link>https://www.infoq.com/news/2026/02/mongodb-embedding-reranking-api/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=vector+databases-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/02/mongodb-embedding-reranking-api/en/headerimage/generatedHeaderImage-1769104698538.jpg"/&gt;&lt;p&gt;MongoDB has recently announced the public preview of its Embedding and Reranking API on MongoDB Atlas. The new API gives developers direct access to Voyage AI’s search models within the managed cloud database, enabling them to create features such as semantic search and AI-powered assistants within a single integrated environment, with consolidated monitoring and billing.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>MongoDB</category>
      <category>NoSQL</category>
      <category>Large language models</category>
      <category>Generative AI</category>
      <category>Retrieval-Augmented Generation</category>
      <category>vector databases</category>
      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Tue, 03 Feb 2026 04:53:00 GMT</pubDate>
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      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-02-03T04:53:00Z</dc:date>
      <dc:identifier>/news/2026/02/mongodb-embedding-reranking-api/en</dc:identifier>
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