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    <title>PyPI recent updates for ragdb</title>
    <link>https://pypi.org/project/ragdb/</link>
    <description>Recent updates to the Python Package Index for ragdb</description>
    <language>en</language>    <item>
      <title>1.0.6</title>
      <link>https://pypi.org/project/ragdb/1.0.6/</link>
      <description>A patent-pending, embedded, multimodal RAG database that performs automated ingestion, hybrid vector+keyword search, and offline retrieval entirely inside a portable single-file SQLite container.</description>
<author>ahmed.khalid2108@gmail.com</author>      <pubDate>Thu, 20 Nov 2025 02:21:10 GMT</pubDate>
    </item>    <item>
      <title>1.0.5</title>
      <link>https://pypi.org/project/ragdb/1.0.5/</link>
      <description>A patent-pending, embedded, multimodal RAG database that performs automated ingestion, hybrid vector+keyword search, and offline retrieval entirely inside a portable single-file SQLite container.</description>
<author>ahmed.khalid2108@gmail.com</author>      <pubDate>Thu, 20 Nov 2025 01:29:40 GMT</pubDate>
    </item>    <item>
      <title>1.0.4</title>
      <link>https://pypi.org/project/ragdb/1.0.4/</link>
      <description>A patent-pending, embedded, multimodal RAG database that performs automated ingestion, hybrid vector+keyword search, and offline retrieval entirely inside a portable single-file SQLite container.</description>
<author>ahmed.khalid2108@gmail.com</author>      <pubDate>Thu, 20 Nov 2025 01:13:15 GMT</pubDate>
    </item>    <item>
      <title>1.0.3</title>
      <link>https://pypi.org/project/ragdb/1.0.3/</link>
      <description>A patent-pending, embedded, multimodal RAG database that performs automated ingestion, hybrid vector+keyword search, and offline retrieval entirely inside a portable single-file SQLite container.</description>
<author>ahmed.khalid2108@gmail.com</author>      <pubDate>Thu, 20 Nov 2025 00:09:21 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/ragdb/0.1.2/</link>
      <description>Lightweight embedded document store with TF-IDF search</description>
<author>ahmed.khalid2108@gmail.com</author>      <pubDate>Mon, 17 Nov 2025 22:36:56 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/ragdb/0.1.1/</link>
      <description>Lightweight embedded document store with TF-IDF search</description>
<author>ahmed.khalid2108@gmail.com</author>      <pubDate>Mon, 17 Nov 2025 05:03:36 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/ragdb/0.1.0/</link>
      <description>Lightweight embedded document store with TF-IDF search</description>
<author>ahmed.khalid2108@gmail.com</author>      <pubDate>Mon, 17 Nov 2025 04:48:31 GMT</pubDate>
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