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    <title>Pipeline on homelab</title>
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      <title>Wiki Pipeline Scripts</title>
      <link>https://homelab.nbkelley.com/docs/ai/wiki-pipeline-scripts/</link>
      <pubDate>Sat, 02 May 2026 00:00:00 +0000</pubDate>
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      <description>&lt;h1 id=&#34;wiki-pipeline-scripts&#34;&gt;Wiki Pipeline Scripts&lt;a class=&#34;anchor&#34; href=&#34;#wiki-pipeline-scripts&#34;&gt;#&lt;/a&gt;&lt;/h1&gt;&#xA;&lt;h2 id=&#34;what-was-established&#34;&gt;What Was Established&lt;a class=&#34;anchor&#34; href=&#34;#what-was-established&#34;&gt;#&lt;/a&gt;&lt;/h2&gt;&#xA;&lt;p&gt;Eight Python scripts in &lt;code&gt;/opt/wiki/homelab/scripts/&lt;/code&gt; implement the full wiki pipeline: file conversion, document ingestion, conversation crystallization (standard, DeepSeek, and Claude formats), shared LLM infrastructure, wiki health-checking, and knowledge-graph integration. All scripts were ported from the work wiki pipeline (itself developed 2026-04-21 → 2026-04-26) with homelab-specific infrastructure baked in.&lt;/p&gt;&#xA;&lt;p&gt;&lt;code&gt;crystallize.py&lt;/code&gt; (Claude format) uses a two-step LLM approach: gemma4:e2b cleans, qwen3.6:35b crystallizes. &lt;code&gt;crystallize_deepseek.py&lt;/code&gt; skips gemma — JSON parsing is handled deterministically in Python (&lt;code&gt;load_conversation&lt;/code&gt; + &lt;code&gt;_clean_text&lt;/code&gt;), so only qwen is needed.&lt;/p&gt;</description>
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