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    <title>PyPI recent updates for med-discover-ai</title>
    <link>https://pypi.org/project/med-discover-ai/</link>
    <description>Recent updates to the Python Package Index for med-discover-ai</description>
    <language>en</language>    <item>
      <title>1.0.11</title>
      <link>https://pypi.org/project/med-discover-ai/1.0.11/</link>
      <description>Med-Discover is an AI-powered tool designed to assist biomedical researchers by leveraging Retrieval-Augmented Generation (RAG) with fine-tuned LLMs on PubMed literature. It enables efficient document retrieval, knowledge extraction, and interactive querying from biomedical research papers, helping researchers find relevant insights quickly. The package supports both GPU-based embeddings (MedCPT) and CPU-friendly alternatives (GPT-4 embeddings), making it accessible for a wide range of users.</description>
<author>vatsal1804@gmail.com</author>      <pubDate>Sat, 03 Jan 2026 09:18:56 GMT</pubDate>
    </item>    <item>
      <title>1.0.10</title>
      <link>https://pypi.org/project/med-discover-ai/1.0.10/</link>
      <description>A tool for RAG-LLM performance analysis on research papers (metabolomics) with support for GPU and CPU modes.</description>
      <pubDate>Tue, 02 Dec 2025 09:32:15 GMT</pubDate>
    </item>    <item>
      <title>1.0.9</title>
      <link>https://pypi.org/project/med-discover-ai/1.0.9/</link>
      <description>A tool for RAG-LLM performance analysis on research papers (metabolomics) with support for GPU and CPU modes.</description>
      <pubDate>Tue, 02 Dec 2025 07:52:22 GMT</pubDate>
    </item>    <item>
      <title>1.0.7</title>
      <link>https://pypi.org/project/med-discover-ai/1.0.7/</link>
      <description>Med-Discover is an AI-powered tool designed to assist biomedical researchers by leveraging Retrieval-Augmented Generation (RAG) with fine-tuned LLMs on PubMed literature. It enables efficient document retrieval, knowledge extraction, and interactive querying from biomedical research papers, helping researchers find relevant insights quickly. The package supports both GPU-based embeddings (MedCPT) and CPU-friendly alternatives (GPT-4 embeddings), making it accessible for a wide range of users.</description>
<author>vatsal1804@gmail.com</author>      <pubDate>Tue, 02 Dec 2025 06:53:53 GMT</pubDate>
    </item>    <item>
      <title>1.0.6</title>
      <link>https://pypi.org/project/med-discover-ai/1.0.6/</link>
      <description>Med-Discover is an AI-powered tool designed to assist biomedical researchers by leveraging Retrieval-Augmented Generation (RAG) with fine-tuned LLMs on PubMed literature. It enables efficient document retrieval, knowledge extraction, and interactive querying from biomedical research papers, helping researchers find relevant insights quickly. The package supports both GPU-based embeddings (MedCPT) and CPU-friendly alternatives (GPT-4 embeddings), making it accessible for a wide range of users.</description>
<author>vatsal1804@gmail.com</author>      <pubDate>Fri, 18 Apr 2025 18:31:13 GMT</pubDate>
    </item>    <item>
      <title>1.0.5</title>
      <link>https://pypi.org/project/med-discover-ai/1.0.5/</link>
      <description>Med-Discover is an AI-powered tool designed to assist biomedical researchers by leveraging Retrieval-Augmented Generation (RAG) with fine-tuned LLMs on PubMed literature. It enables efficient document retrieval, knowledge extraction, and interactive querying from biomedical research papers, helping researchers find relevant insights quickly. The package supports both GPU-based embeddings (MedCPT) and CPU-friendly alternatives (GPT-4 embeddings), making it accessible for a wide range of users.</description>
<author>vatsal1804@gmail.com</author>      <pubDate>Thu, 03 Apr 2025 08:17:23 GMT</pubDate>
    </item>    <item>
      <title>1.0.4</title>
      <link>https://pypi.org/project/med-discover-ai/1.0.4/</link>
      <description>Med-Discover is an AI-powered tool designed to assist biomedical researchers by leveraging Retrieval-Augmented Generation (RAG) with fine-tuned LLMs on PubMed literature. It enables efficient document retrieval, knowledge extraction, and interactive querying from biomedical research papers, helping researchers find relevant insights quickly. The package supports both GPU-based embeddings (MedCPT) and CPU-friendly alternatives (GPT-4 embeddings), making it accessible for a wide range of users.</description>
<author>vatsal1804@gmail.com</author>      <pubDate>Thu, 03 Apr 2025 08:03:10 GMT</pubDate>
    </item>    <item>
      <title>1.0.3</title>
      <link>https://pypi.org/project/med-discover-ai/1.0.3/</link>
      <description>Med-Discover is an AI-powered tool designed to assist biomedical researchers by leveraging Retrieval-Augmented Generation (RAG) with fine-tuned LLMs on PubMed literature. It enables efficient document retrieval, knowledge extraction, and interactive querying from biomedical research papers, helping researchers find relevant insights quickly. The package supports both GPU-based embeddings (MedCPT) and CPU-friendly alternatives (GPT-4 embeddings), making it accessible for a wide range of users.</description>
<author>vatsal1804@gmail.com</author>      <pubDate>Thu, 03 Apr 2025 07:19:57 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/med-discover-ai/1.0.2/</link>
      <description>Med-Discover is an AI-powered tool designed to assist biomedical researchers by leveraging Retrieval-Augmented Generation (RAG) with fine-tuned LLMs on PubMed literature. It enables efficient document retrieval, knowledge extraction, and interactive querying from biomedical research papers, helping researchers find relevant insights quickly. The package supports both GPU-based embeddings (MedCPT) and CPU-friendly alternatives (GPT-4 embeddings), making it accessible for a wide range of users.</description>
<author>vatsal1804@gmail.com</author>      <pubDate>Thu, 03 Apr 2025 07:17:54 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/med-discover-ai/1.0.1/</link>
      <description>Med-Discover is an AI-powered tool designed to assist biomedical researchers by leveraging Retrieval-Augmented Generation (RAG) with fine-tuned LLMs on PubMed literature. It enables efficient document retrieval, knowledge extraction, and interactive querying from biomedical research papers, helping researchers find relevant insights quickly. The package supports both GPU-based embeddings (MedCPT) and CPU-friendly alternatives (GPT-4 embeddings), making it accessible for a wide range of users.</description>
<author>vatsal1804@gmail.com</author>      <pubDate>Wed, 19 Mar 2025 11:48:31 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/med-discover-ai/1.0.0/</link>
      <description>Med-Discover is an AI-powered tool designed to assist biomedical researchers by leveraging Retrieval-Augmented Generation (RAG) with fine-tuned LLMs on PubMed literature. It enables efficient document retrieval, knowledge extraction, and interactive querying from biomedical research papers, helping researchers find relevant insights quickly. The package supports both GPU-based embeddings (MedCPT) and CPU-friendly alternatives (GPT-4 embeddings), making it accessible for a wide range of users.</description>
<author>vatsal1804@gmail.com</author>      <pubDate>Thu, 13 Mar 2025 08:39:33 GMT</pubDate>
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