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The following commit(s) were added to refs/heads/asf-staging by this push:
     new 4e3d2efdb Commit build products
4e3d2efdb is described below

commit 4e3d2efdb70485ddf6f6aafac83a28da84509b43
Author: Build Pelican (action) <[email protected]>
AuthorDate: Wed Mar 4 01:27:44 2026 +0000

    Commit build products
---
 output/feeds/all.atom.xml       | 2 +-
 output/feeds/solr/news.atom.xml | 2 +-
 output/news.html                | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/output/feeds/all.atom.xml b/output/feeds/all.atom.xml
index 5d228ec75..d4bf7d6d3 100644
--- a/output/feeds/all.atom.xml
+++ b/output/feeds/all.atom.xml
@@ -17,7 +17,7 @@
 &lt;ul&gt;
 &lt;li&gt;Significant expansion in vector search capabilities with support for 
scalar and binary quantized dense vectors for improved performance and reduced 
memory usage&lt;/li&gt;
 &lt;li&gt;cuVS-Lucene Integration: Support for cuVS-Lucene as a pluggable 
codec enabling GPU acceleration for vector operations.&lt;/li&gt;
-&lt;li&gt;Enhanced KNN Query Parameters**: New 
&lt;code&gt;efSearch&lt;/code&gt; parameter and 
&lt;code&gt;efSearchScaleFactor&lt;/code&gt; for fine-tuning vector search 
performance&lt;/li&gt;
+&lt;li&gt;Enhanced KNN Query Parameters: New &lt;code&gt;efSearch&lt;/code&gt; 
parameter and &lt;code&gt;efSearchScaleFactor&lt;/code&gt; for fine-tuning 
vector search performance&lt;/li&gt;
 &lt;li&gt;Feature Vector Caching for LTR: New caching mechanism for ranking 
feature vectors significantly improves performance&lt;/li&gt;
 &lt;li&gt;MergeOnFlushMergePolicy: New merge policy that optimizes indexing 
throughput by performing merges during flush operations rather than 
separately&lt;/li&gt;
 &lt;/ul&gt;
diff --git a/output/feeds/solr/news.atom.xml b/output/feeds/solr/news.atom.xml
index d87e0a017..c0a8cea8d 100644
--- a/output/feeds/solr/news.atom.xml
+++ b/output/feeds/solr/news.atom.xml
@@ -17,7 +17,7 @@
 &lt;ul&gt;
 &lt;li&gt;Significant expansion in vector search capabilities with support for 
scalar and binary quantized dense vectors for improved performance and reduced 
memory usage&lt;/li&gt;
 &lt;li&gt;cuVS-Lucene Integration: Support for cuVS-Lucene as a pluggable 
codec enabling GPU acceleration for vector operations.&lt;/li&gt;
-&lt;li&gt;Enhanced KNN Query Parameters**: New 
&lt;code&gt;efSearch&lt;/code&gt; parameter and 
&lt;code&gt;efSearchScaleFactor&lt;/code&gt; for fine-tuning vector search 
performance&lt;/li&gt;
+&lt;li&gt;Enhanced KNN Query Parameters: New &lt;code&gt;efSearch&lt;/code&gt; 
parameter and &lt;code&gt;efSearchScaleFactor&lt;/code&gt; for fine-tuning 
vector search performance&lt;/li&gt;
 &lt;li&gt;Feature Vector Caching for LTR: New caching mechanism for ranking 
feature vectors significantly improves performance&lt;/li&gt;
 &lt;li&gt;MergeOnFlushMergePolicy: New merge policy that optimizes indexing 
throughput by performing merges during flush operations rather than 
separately&lt;/li&gt;
 &lt;/ul&gt;
diff --git a/output/news.html b/output/news.html
index 2d1bce3b4..975c38b6f 100644
--- a/output/news.html
+++ b/output/news.html
@@ -170,7 +170,7 @@
 <ul>
 <li>Significant expansion in vector search capabilities with support for 
scalar and binary quantized dense vectors for improved performance and reduced 
memory usage</li>
 <li>cuVS-Lucene Integration: Support for cuVS-Lucene as a pluggable codec 
enabling GPU acceleration for vector operations.</li>
-<li>Enhanced KNN Query Parameters**: New <code>efSearch</code> parameter and 
<code>efSearchScaleFactor</code> for fine-tuning vector search performance</li>
+<li>Enhanced KNN Query Parameters: New <code>efSearch</code> parameter and 
<code>efSearchScaleFactor</code> for fine-tuning vector search performance</li>
 <li>Feature Vector Caching for LTR: New caching mechanism for ranking feature 
vectors significantly improves performance</li>
 <li>MergeOnFlushMergePolicy: New merge policy that optimizes indexing 
throughput by performing merges during flush operations rather than 
separately</li>
 </ul>

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