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      <title>From Memory-Hungry HNSW to Quantized SPANN: the Technical Evolution of Pinterest's Manas Platform</title>
      <link>https://www.infoq.com/news/2026/09/pinterest-search/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Search</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/pinterest-search/en/headerimage/HG-1789489973604.jpg"/&gt;&lt;p&gt;Pinterest Engineering has enhanced its Manas search platform to manage vast data, improving efficiency in search and discovery functions. By applying Scalar and Product Quantization, memory usage decreased significantly while maintaining high recall rates. The platform utilizes SSDs for optimized performance, and is transitioning to multi-vector models for refined relevance matching.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Search</category>
      <category>Algorithms</category>
      <category>Infrastructure</category>
      <category>Optimization</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 16 Sep 2026 06:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/pinterest-search/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Search</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-09-16T06:06:00Z</dc:date>
      <dc:identifier>/news/2026/09/pinterest-search/en</dc:identifier>
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