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    <title>PyPI recent updates for seamless-rag</title>
    <link>https://pypi.org/project/seamless-rag/</link>
    <description>Recent updates to the Python Package Index for seamless-rag</description>
    <language>en</language>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/seamless-rag/0.1.7/</link>
      <description>TOON-Native Auto-Embedding &amp; RAG Toolkit for MariaDB — VECTOR(N), HNSW, VEC_DISTANCE_COSINE, with TOON tabular output that saves 10-55% LLM tokens vs JSON.</description>
<author>TP085412@mail.apu.edu.my</author>      <pubDate>Sat, 09 May 2026 07:46:48 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/seamless-rag/0.1.6/</link>
      <description>TOON-Native Auto-Embedding &amp; RAG Toolkit for MariaDB — VECTOR(N), HNSW, VEC_DISTANCE_COSINE, with TOON tabular output that saves 10-55% LLM tokens vs JSON.</description>
<author>TP085412@mail.apu.edu.my</author>      <pubDate>Sat, 09 May 2026 05:05:52 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/seamless-rag/0.1.5/</link>
      <description>TOON-Native Auto-Embedding &amp; RAG Toolkit for MariaDB — VECTOR(N), HNSW, VEC_DISTANCE_COSINE, with TOON tabular output that saves 10-55% LLM tokens vs JSON.</description>
<author>TP085412@mail.apu.edu.my</author>      <pubDate>Sat, 09 May 2026 04:55:18 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/seamless-rag/0.1.4/</link>
      <description>TOON-Native Auto-Embedding &amp; RAG Toolkit for MariaDB — VECTOR(N), HNSW, VEC_DISTANCE_COSINE, with TOON tabular output that saves 10-55% LLM tokens vs JSON.</description>
<author>TP085412@mail.apu.edu.my</author>      <pubDate>Sat, 09 May 2026 04:49:34 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/seamless-rag/0.1.3/</link>
      <description>TOON-Native Auto-Embedding &amp; RAG Toolkit for MariaDB — VECTOR(N), HNSW, VEC_DISTANCE_COSINE, with TOON tabular output that saves 10-55% LLM tokens vs JSON.</description>
<author>TP085412@mail.apu.edu.my</author>      <pubDate>Sat, 09 May 2026 03:29:41 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/seamless-rag/0.1.2/</link>
      <description>TOON-Native Auto-Embedding &amp; RAG Toolkit for MariaDB — VECTOR(N), HNSW, VEC_DISTANCE_COSINE, with TOON tabular output that saves 10-55% LLM tokens vs JSON.</description>
<author>TP085412@mail.apu.edu.my</author>      <pubDate>Fri, 08 May 2026 19:54:00 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/seamless-rag/0.1.1/</link>
      <description>TOON-Native Auto-Embedding &amp; RAG Toolkit for MariaDB — VECTOR(N), HNSW, VEC_DISTANCE_COSINE, with TOON tabular output that saves 10-55% LLM tokens vs JSON.</description>
<author>TP085412@mail.apu.edu.my</author>      <pubDate>Fri, 08 May 2026 19:48:48 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/seamless-rag/0.1.0/</link>
      <description>TOON-Native Auto-Embedding &amp; RAG Toolkit for MariaDB — VECTOR(N), HNSW, VEC_DISTANCE_COSINE, with TOON tabular output that saves 10-55% LLM tokens vs JSON.</description>
<author>TP085412@mail.apu.edu.my</author>      <pubDate>Fri, 08 May 2026 19:47:18 GMT</pubDate>
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