Added MLflow installation procedures (#609)

* added kube deployment
* added docker installations
* added IDs to procedures
* minor reshuffling of OpenSearch and introducing MLflow
* optimized PNGs
* prioritized OpenSearch over Milvus
* reordered AI apps in intro
* Apply suggestions from code review

Co-authored-by: Daria Vladykina <[email protected]>

Author: tbazant

articles/AI.asm.xml

@@ -22,6 +22,7 @@
   <resources>
     <resource xml:id="_ai-pytorch-helm-overrides" href="../references/pytorch-helm-overrides.xml"/>
     <resource xml:id="_ai-pytorch-helmchart" href="../references/pytorch-helmchart.xml"/>
+    <resource xml:id="_ai-mlflow-installing" href="../tasks/mlflow-installing.xml"/>
     <resource xml:id="_ai-pytorch-installing" href="../tasks/pytorch-installing.xml"/>
     <resource xml:id="_Security-installation-airgapped" href="../tasks/Security-installation-airgapped.xml"/>
     <resource xml:id="_Security-installation-rancher" href="../tasks/Security-installation-rancher.xml"/>
@@ -301,10 +302,10 @@
     <merge>
       <title>Deploying and Installing &productname;</title>
       <revhistory xml:id="rh-deployment-intro">
-        <revision><date>2025-11-08</date>
+        <revision><date>2025-11-21</date>
           <revdescription>
             <para>
-              Added section about &pytorch; installation
+              Added section about &mlflow; installation
             </para>
           </revdescription>
         </revision>
@@ -315,6 +316,13 @@
             </para>
           </revdescription>
         </revision>
+        <revision><date>2025-11-08</date>
+          <revdescription>
+            <para>
+              Added section about &pytorch; installation
+            </para>
+          </revdescription>
+        </revision>
         <revision><date>2025-11-01</date>
           <revdescription>
             <para>
@@ -543,6 +551,7 @@
         </merge>
       </module>
       <module renderas="section" resourceref="_ai-cert-manager-installing"/>
+      <module renderas="section" resourceref="_ai-opensearch-installing"/>
       <module renderas="section" resourceref="_ai-milvus-installing"/>
       <module renderas="section" resourceref="_ai-ollama-installing">
         <module renderas="section" resourceref="_ai-ollama-helmchart"/>
@@ -559,7 +568,7 @@
         <module renderas="section" resourceref="_ai-pytorch-helm-overrides"/>
         <module renderas="section" resourceref="_ai-pytorch-helmchart"/>
       </module>
-      <module renderas="section" resourceref="_ai-opensearch-installing"/>
+      <module renderas="section" resourceref="_ai-mlflow-installing"/>
       <module renderas="section" resourceref="_ai-deployment-ailibrary-deployer"/>
     </module>
     <module renderas="section" resourceref="_ai-deployment-steps-after">

concepts/AI-intro-how-works.xml

@@ -120,79 +120,79 @@
       <link xlink:href="https://apps.rancher.io/stacks/suse-ai"/>.
     </para>
     <varlistentry>
-      <term>&milvus; (<link xlink:href="https://milvus.io"/>)</term>
+      <term>&certmanager; (<link xlink:href="https://cert-manager.io/"/>)</term>
       <listitem>
         <para>
-          A vector database built for generative AI applications with minimal
-          performance loss.
+          An extensible X.509 certificate controller for &kube; workloads.
         </para>
       </listitem>
     </varlistentry>
     <varlistentry>
-      <term>&ollama; (<link xlink:href="https://ollama.com"/>)</term>
+      <term>&opensearch; (<link xlink:href="https://opensearch.org/"/>)</term>
       <listitem>
         <para>
-          A platform that simplifies installation and management of large
-          language models (LLM) on local devices.
+          A search and analytics suite for analyzing and visualizing search data.
         </para>
       </listitem>
     </varlistentry>
     <varlistentry>
-      <term>&certmanager; (<link xlink:href="https://cert-manager.io/"/>)</term>
+      <term>&milvus; (<link xlink:href="https://milvus.io"/>)</term>
       <listitem>
         <para>
-          An extensible X.509 certificate controller for &kube; workloads.
+          A vector database built for generative AI applications with minimal
+          performance loss.
         </para>
       </listitem>
     </varlistentry>
     <varlistentry>
-      <term>&owui; (<link xlink:href="https://openwebui.com"/>)</term>
+      <term>&ollama; (<link xlink:href="https://ollama.com"/>)</term>
       <listitem>
         <para>
-          An extensible Web user interface for the &ollama; LLM runner.
+          A platform that simplifies the installation and management of large
+          language models (LLM) on local devices.
         </para>
       </listitem>
     </varlistentry>
     <varlistentry>
-      <term>&mlflow; (<link xlink:href="https://mlflow.org"/>)</term>
+      <term>&owui; (<link xlink:href="https://openwebui.com"/>)</term>
       <listitem>
         <para>
-          An open source platform to manage the machine learning lifecycle,
-          including experimentation, reproducibility, deployment and a central
-          model registry.
+          An extensible Web user interface for the &ollama; LLM runner.
         </para>
       </listitem>
     </varlistentry>
     <varlistentry>
-      <term>&pytorch; (<link xlink:href="https://pytorch.org/"/>)</term>
+      <term>&vllm; (<link xlink:href="https://github.com/vllm-project/vllm"/></term>
       <listitem>
         <para>
-          An open source machine learning framework.
+          A high-performance inference and serving engine for large language
+          models (LLMs).
         </para>
       </listitem>
     </varlistentry>
     <varlistentry>
-      <term>&vllm; (<link xlink:href="https://github.com/vllm-project/vllm"/></term>
+      <term>&mcpo; (<link xlink:href="https://github.com/open-webui/mcpo"/>)</term>
       <listitem>
         <para>
-          A high-performance inference and serving engine for large language
-          models (LLMs).
+          The &mcp;-to-OpenAPI proxy server provided by &owui;.
         </para>
       </listitem>
     </varlistentry>
     <varlistentry>
-      <term>&mcpo; (<link xlink:href="https://github.com/open-webui/mcpo"/>)</term>
+      <term>&pytorch; (<link xlink:href="https://pytorch.org/"/>)</term>
       <listitem>
         <para>
-          The &mcp;-to-OpenAPI proxy server provided by &owui;.
+          An open source machine learning framework.
         </para>
       </listitem>
     </varlistentry>
     <varlistentry>
-      <term>&opensearch; (<link xlink:href="https://opensearch.org/"/>)</term>
+      <term>&mlflow; (<link xlink:href="https://mlflow.org"/>)</term>
       <listitem>
         <para>
-          A search and analytics suite to analyze and visualize searched data.
+          An open source platform to manage the machine learning lifecycle,
+          including experimentation, reproducibility, deployment and a central
+          model registry.
         </para>
       </listitem>
     </varlistentry>

images/mlflow-webui.png

@@ -150,9 +150,10 @@
           <para condition="deployment_standard">
             Install an application with vector database capabilities. &owui;
             supports either
-            <xref linkend="milvus-installing" xrefstyle="template: &milvus;"/>
+            <xref linkend="opensearch-installing" xrefstyle="template:
+            &opensearch;"/>
             or
-            <xref linkend="opensearch-installing" xrefstyle="template: &opensearch;"/>.
+            <xref linkend="milvus-installing" xrefstyle="template: &milvus;"/>.
           </para>
         </step>
         <step performance="optional">