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    <title>PyPI recent updates for geo_pysearch</title>
    <link>https://pypi.org/project/geo-pysearch/</link>
    <description>Recent updates to the Python Package Index for geo_pysearch</description>
    <language>en</language>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/geo-pysearch/0.1.7/</link>
      <description>GeoVectorSearch is a lightweight Python SDK and command-line tool for semantic discovery of GEO datasets suitable for differential gene expression analysis. Powered by FAISS-based vector search and optional GPT-based filtering, it helps researchers and developers quickly identify relevant RNA-seq or microarray datasets.</description>
<author>swapnonil0007@gmail.com</author>      <pubDate>Tue, 19 Aug 2025 09:44:14 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/geo-pysearch/0.1.6/</link>
      <description>GeoVectorSearch is a lightweight Python SDK and command-line tool for semantic discovery of GEO datasets suitable for differential gene expression analysis. Powered by FAISS-based vector search and optional GPT-based filtering, it helps researchers and developers quickly identify relevant RNA-seq or microarray datasets.</description>
<author>swapnonil0007@gmail.com</author>      <pubDate>Mon, 18 Aug 2025 20:04:38 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/geo-pysearch/0.1.5/</link>
      <description>GeoVectorSearch is a lightweight Python SDK and command-line tool for semantic discovery of GEO datasets suitable for differential gene expression analysis. Powered by FAISS-based vector search and optional GPT-based filtering, it helps researchers and developers quickly identify relevant RNA-seq or microarray datasets.</description>
<author>swapnonil0007@gmail.com</author>      <pubDate>Mon, 18 Aug 2025 18:21:56 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/geo-pysearch/0.1.4/</link>
      <description>GeoVectorSearch is a lightweight Python SDK and command-line tool for semantic discovery of GEO datasets suitable for differential gene expression analysis. Powered by FAISS-based vector search and optional GPT-based filtering, it helps researchers and developers quickly identify relevant RNA-seq or microarray datasets.</description>
<author>swapnonil0007@gmail.com</author>      <pubDate>Mon, 18 Aug 2025 16:20:24 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/geo-pysearch/0.1.3/</link>
      <description>GeoVectorSearch is a lightweight Python SDK and command-line tool for semantic discovery of GEO datasets suitable for differential gene expression analysis. Powered by FAISS-based vector search and optional GPT-based filtering, it helps researchers and developers quickly identify relevant RNA-seq or microarray datasets.</description>
<author>swapnonil0007@gmail.com</author>      <pubDate>Mon, 04 Aug 2025 06:06:55 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/geo-pysearch/0.1.2/</link>
      <description>GeoVectorSearch is a lightweight Python SDK and command-line tool for semantic discovery of GEO datasets suitable for differential gene expression analysis. Powered by FAISS-based vector search and optional GPT-based filtering, it helps researchers and developers quickly identify relevant RNA-seq or microarray datasets.</description>
<author>swapnonil0007@gmail.com</author>      <pubDate>Sun, 03 Aug 2025 10:11:11 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/geo-pysearch/0.1.0/</link>
      <description>GeoVectorSearch is a lightweight Python SDK and command-line tool for semantic discovery of GEO datasets suitable for differential gene expression analysis. Powered by FAISS-based vector search and optional GPT-based filtering, it helps researchers and developers quickly identify relevant RNA-seq or microarray datasets.</description>
<author>swapnonil0007@gmail.com</author>      <pubDate>Sat, 02 Aug 2025 21:04:17 GMT</pubDate>
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