Generate en docs

Author: Milvus-doc-bot

localization/v2.6.x/site/en/tutorials/build-rag-with-milvus.md

@@ -206,7 +206,7 @@ retrieved_lines_with_distances = [
     [line_with_distance[<span class="hljs-number">0</span>] <span class="hljs-keyword">for</span> line_with_distance <span class="hljs-keyword">in</span> retrieved_lines_with_distances]
 )
 <button class="copy-code-btn"></button></code></pre>
-<p>Define system and user prompts for the Lanage Model. This prompt is assembled with the retrieved documents from Milvus.</p>
+<p>Define system and user prompts for the Language Model. This prompt is assembled with the retrieved documents from Milvus.</p>
 <pre><code translate="no" class="language-python">SYSTEM_PROMPT = <span class="hljs-string">&quot;&quot;&quot;
 Human: You are an AI assistant. You are able to find answers to the questions from the contextual passage snippets provided.
 &quot;&quot;&quot;</span>

localization/v2.6.x/site/en/userGuide/manage_databases.md

@@ -274,7 +274,7 @@ curl --request POST \
    <tr>
      <td><p><code translate="no">database.resource_groups</code></p></td>
      <td><p>string</p></td>
-     <td><p>The names of the resource groups associated with the specified database in a common-separated list.</p></td>
+     <td><p>The names of the resource groups associated with the specified database in a comma-separated list.</p></td>
    </tr>
    <tr>
      <td><p><code translate="no">database.diskQuota.mb</code></p></td>