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    <title>PyPI recent updates for tqdb</title>
    <link>https://pypi.org/project/tqdb/</link>
    <description>Recent updates to the Python Package Index for tqdb</description>
    <language>en</language>    <item>
      <title>0.8.0</title>
      <link>https://pypi.org/project/tqdb/0.8.0/</link>
      <description>Embedded vector database using the TurboQuant algorithm (arXiv:2504.19874) — zero training, 2-4 bit compression, fast inner-product search</description>
<author>69726231+jyunming@users.noreply.github.com</author>      <pubDate>Tue, 28 Apr 2026 20:37:46 GMT</pubDate>
    </item>    <item>
      <title>0.7.0</title>
      <link>https://pypi.org/project/tqdb/0.7.0/</link>
      <description>Embedded vector database using the TurboQuant algorithm (arXiv:2504.19874) — zero training, 2-4 bit compression, fast inner-product search</description>
<author>69726231+jyunming@users.noreply.github.com</author>      <pubDate>Tue, 28 Apr 2026 16:52:11 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/tqdb/0.6.0/</link>
      <description>Embedded vector database using the TurboQuant algorithm (arXiv:2504.19874) — zero training, 2-4 bit compression, fast inner-product search</description>
<author>69726231+jyunming@users.noreply.github.com</author>      <pubDate>Fri, 24 Apr 2026 02:41:34 GMT</pubDate>
    </item>    <item>
      <title>0.5.2</title>
      <link>https://pypi.org/project/tqdb/0.5.2/</link>
      <description>Embedded vector database using the TurboQuant algorithm (arXiv:2504.19874) — zero training, 2-4 bit compression, fast inner-product search</description>
<author>69726231+jyunming@users.noreply.github.com</author>      <pubDate>Mon, 13 Apr 2026 23:29:56 GMT</pubDate>
    </item>    <item>
      <title>0.5.1</title>
      <link>https://pypi.org/project/tqdb/0.5.1/</link>
      <description>Embedded vector database using the TurboQuant algorithm (arXiv:2504.19874) — zero training, 2-4 bit compression, fast inner-product search</description>
<author>69726231+jyunming@users.noreply.github.com</author>      <pubDate>Sun, 12 Apr 2026 23:44:02 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/tqdb/0.5.0/</link>
      <description>Embedded vector database using the TurboQuant algorithm (arXiv:2504.19874) — zero training, 2-4 bit compression, fast inner-product search</description>
<author>69726231+jyunming@users.noreply.github.com</author>      <pubDate>Sat, 11 Apr 2026 00:00:15 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/tqdb/0.4.0/</link>
      <description>Embedded vector database using the TurboQuant algorithm (arXiv:2504.19874) — zero training, 2-4 bit compression, fast inner-product search</description>
<author>69726231+jyunming@users.noreply.github.com</author>      <pubDate>Wed, 08 Apr 2026 05:43:36 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/tqdb/0.3.0/</link>
      <description>Embedded vector database using the TurboQuant algorithm (arXiv:2504.19874) — zero training, 2-4 bit compression, fast inner-product search</description>
      <pubDate>Mon, 06 Apr 2026 22:57:41 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/tqdb/0.2.1/</link>
      <description>Embedded vector database using the TurboQuant algorithm (arXiv:2504.19874) — zero training, 2-4 bit compression, fast inner-product search</description>
      <pubDate>Sun, 05 Apr 2026 08:54:15 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/tqdb/0.2.0/</link>
      <description>Embedded vector database using the TurboQuant algorithm (arXiv:2504.19874) — zero training, 2-4 bit compression, fast inner-product search</description>
      <pubDate>Sat, 04 Apr 2026 10:30:30 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/tqdb/0.1.1/</link>
      <description>Embedded vector database using the TurboQuant algorithm (arXiv:2504.19874) — zero training, 2-4 bit compression, fast inner-product search</description>
      <pubDate>Sat, 04 Apr 2026 06:12:16 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/tqdb/0.1.0/</link>
      <description>Embedded vector database using the TurboQuant algorithm (arXiv:2504.19874) — zero training, 2-4 bit compression, fast inner-product search</description>
      <pubDate>Fri, 03 Apr 2026 16:59:01 GMT</pubDate>
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