RDoc-3468 Add info about 'InvalidQueryException' to the relevant query examples

Author: Danielle9897

docs/ai-integration/vector-search/content/_vector-search-using-dynamic-query-csharp.mdx

@@ -313,10 +313,16 @@ where vector.search(embedding.text(Name), "italian food", 0.82, 20)
 
 * The query explicitly specifies the **identifier** of the embeddings generation task that was defined in
   [this example](../../../ai-integration/generating-embeddings/embeddings-generation-task.mdx#configuring-an-embeddings-generation-task---from-the-studio).  
-  Results are retrieved by comparing the search term against the pre-made embeddings generated by this task,  
-  which are stored in the [Embedding collections](../../../ai-integration/generating-embeddings/embedding-collections.mdx).
+  An `InvalidQueryException` will be thrown if no embeddings generation task with the specified identifier exists.  
+  
+  To avoid this error, you can verify that the specified embeddings generation task exists before issuing the query.  
+  Refer to [Get embeddings generation task details](../ai-integration/generating-embeddings/overview#get-embeddings-generation-task-details)
+  to learn how to programmatically check which tasks are defined  
+  and what their identifiers are.
 
-* To ensure consistent comparisons, the search term is transformed into an embedding using the same embeddings generation task.
+* Results are retrieved by comparing the search term against the pre-made embeddings generated by the specified task,  
+  which are stored in the [Embedding collections](../../../ai-integration/generating-embeddings/embedding-collections.mdx).
+  To ensure consistent comparisons, the search term is transformed into an embedding using the same embeddings generation task.
 
 <Tabs groupId='languageSyntax'>
 <TabItem value="Query" label="Query">

docs/ai-integration/vector-search/content/_vector-search-using-static-index-csharp.mdx

@@ -1343,11 +1343,17 @@ store.Maintenance.Send(new PutIndexesOperation(indexDefinition));
 </Tabs>
 
 Execute a vector search using the index:  
+
   * Pass a textual search term to the `ByText` method,  
     along with the ID of the embedding generation task that will convert the text into an embedding.
+  
   * The query is only meaningful if the vector field being searched contains numerical embeddings  
     generated using the same model as the one configured in the specified task.
-  * If the specified task ID is not found, RavenDB will throw an `InvalidQueryException`.
+  
+  * If the specified task ID is not found, RavenDB will throw an `InvalidQueryException`.  
+    To avoid this error, you can verify that the specified embeddings generation task exists before issuing the query.  
+    See [Get embeddings generation task details](../ai-integration/generating-embeddings/overview#get-embeddings-generation-task-details)
+    to learn how to check which tasks are defined and what their identifiers are.
 
 <Tabs groupId='languageSyntax'>
 <TabItem value="Query" label="Query">