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      <title>Open Source pg_vectorsearch Brings More Scalable Vector Search to PostgreSQL</title>
      <link>https://www.infoq.com/news/2026/11/postgresql-vector-search/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Database-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/11/postgresql-vector-search/en/headerimage/generatedHeaderImage-1792331528868.jpg"/&gt;&lt;p&gt;Tiger Data has released pg_vectorsearch, an open source PostgreSQL extension for vector similarity search, currently in alpha. Its PRISM index uses data partitioning and compression instead of the graph-based approach used by pgvector’s HNSW index, reducing memory requirements and index build times.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>vector databases</category>
      <category>Database</category>
      <category>Open Source</category>
      <category>Relational Databases</category>
      <category>Postgres</category>
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      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Sat, 07 Nov 2026 09:49:00 GMT</pubDate>
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      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-11-07T09:49:00Z</dc:date>
      <dc:identifier>/news/2026/11/postgresql-vector-search/en</dc:identifier>
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