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<h1><a href="retail_v2beta.html">Vertex AI Search for commerce API</a> . <a href="retail_v2beta.projects.html">projects</a> . <a href="retail_v2beta.projects.locations.html">locations</a> . <a href="retail_v2beta.projects.locations.catalogs.html">catalogs</a> . <a href="retail_v2beta.projects.locations.catalogs.generativeQuestions.html">generativeQuestions</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
<code><a href="#close">close()</a></code></p>
<p class="firstline">Close httplib2 connections.</p>
<p class="toc_element">
<code><a href="#list">list(parent, x__xgafv=None)</a></code></p>
<p class="firstline">Returns all questions for a given catalog.</p>
<h3>Method Details</h3>
<div class="method">
<code class="details" id="close">close()</code>
<pre>Close httplib2 connections.</pre>
</div>
<div class="method">
<code class="details" id="list">list(parent, x__xgafv=None)</code>
<pre>Returns all questions for a given catalog.
Args:
parent: string, Required. Resource name of the parent catalog. Format: projects/{project}/locations/{location}/catalogs/{catalog} (required)
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # Response for ListQuestions method.
&quot;generativeQuestionConfigs&quot;: [ # All the questions for a given catalog.
{ # Configuration for a single generated question.
&quot;allowedInConversation&quot;: True or False, # Optional. Whether the question is asked at serving time.
&quot;catalog&quot;: &quot;A String&quot;, # Required. Resource name of the catalog. Format: projects/{project}/locations/{location}/catalogs/{catalog}
&quot;exampleValues&quot;: [ # Output only. Values that can be used to answer the question.
&quot;A String&quot;,
],
&quot;facet&quot;: &quot;A String&quot;, # Required. The facet to which the question is associated.
&quot;finalQuestion&quot;: &quot;A String&quot;, # Optional. The question that will be used at serving time. Question can have a max length of 300 bytes. When not populated, generated_question should be used.
&quot;frequency&quot;: 3.14, # Output only. The ratio of how often a question was asked.
&quot;generatedQuestion&quot;: &quot;A String&quot;, # Output only. The LLM generated question.
},
],
}</pre>
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