diff --git a/code_samples/api/public_php_api/src/Command/FindByTaxonomyEmbeddingCommand.php b/code_samples/api/public_php_api/src/Command/FindByTaxonomyEmbeddingCommand.php
index bee4713486..d7b29e1be9 100644
--- a/code_samples/api/public_php_api/src/Command/FindByTaxonomyEmbeddingCommand.php
+++ b/code_samples/api/public_php_api/src/Command/FindByTaxonomyEmbeddingCommand.php
@@ -12,6 +12,7 @@
 use Ibexa\Contracts\Core\Repository\Values\Content\EmbeddingQueryBuilder;
 use Ibexa\Contracts\Core\Repository\Values\Content\Query\Criterion\ContentTypeIdentifier;
 use Ibexa\Contracts\Core\Repository\Values\Content\Search\SearchHit;
+use Ibexa\Contracts\Core\Search\Embedding\EmbeddingProviderResolverInterface;
 use Ibexa\Contracts\Taxonomy\Search\Query\Value\TaxonomyEmbedding;
 use Symfony\Component\Console\Attribute\AsCommand;
 use Symfony\Component\Console\Command\Command;
@@ -25,8 +26,10 @@
 )]
 final class FindByTaxonomyEmbeddingCommand extends Command
 {
-    public function __construct(private readonly SearchService $searchService)
-    {
+    public function __construct(
+        private readonly SearchService $searchService,
+        private readonly EmbeddingProviderResolverInterface $embeddingProviderResolver,
+    ) {
         parent::__construct();
     }
 
@@ -37,7 +40,7 @@ protected function execute(
         $io = new SymfonyStyle($input, $output);
 
         // Example embedding vector.
-        // In a real-life scenario, generate it with an embedding provider
+        // In a real-life scenario, generate it with an embedding provider as shown below
         // and make sure its dimensions match the configured model.
         $vector = [
             0.0123,
@@ -46,8 +49,11 @@ protected function execute(
             0.1111,
         ];
 
+        $embeddingProvider = $this->embeddingProviderResolver->resolve();
+        $embedding = $embeddingProvider->getEmbedding('example_content');
+
         $query = EmbeddingQueryBuilder::create()
-            ->withEmbedding(new TaxonomyEmbedding($vector))
+            ->withEmbedding(new TaxonomyEmbedding($embedding))
             ->setFilter(new ContentTypeIdentifier('article'))
             ->setLimit(10)
             ->setOffset(0)
diff --git a/code_samples/api/public_php_api/src/Service/TaxonomyEmbeddingSearchService.php b/code_samples/api/public_php_api/src/Service/TaxonomyEmbeddingSearchService.php
index 6a464c8f20..1f2d4ee521 100644
--- a/code_samples/api/public_php_api/src/Service/TaxonomyEmbeddingSearchService.php
+++ b/code_samples/api/public_php_api/src/Service/TaxonomyEmbeddingSearchService.php
@@ -14,9 +14,9 @@
 use Ibexa\Contracts\Core\Repository\Values\Content\Search\SearchResult;
 use Ibexa\Contracts\Taxonomy\Search\Query\Value\TaxonomyEmbedding;
 
-final class TaxonomyEmbeddingSearchService
+final readonly class TaxonomyEmbeddingSearchService
 {
-    public function __construct(private readonly SearchService $searchService)
+    public function __construct(private SearchService $searchService)
     {
     }
 
diff --git a/code_samples/api/public_php_api/src/embedding_fields.php b/code_samples/api/public_php_api/src/embedding_fields.php
new file mode 100644
index 0000000000..6276bab30e
--- /dev/null
+++ b/code_samples/api/public_php_api/src/embedding_fields.php
@@ -0,0 +1,11 @@
+<?php declare(strict_types=1);
+
+// Create an embedding field using the default embedding provider (type derived from configuration's field suffix)
+
+/** @var Ibexa\Contracts\Core\Search\FieldType\EmbeddingFieldFactory $factory */
+$embeddingField = $factory->create();
+echo $embeddingField->getType(); // for example, "ibexa_dense_vector_model_123"
+
+// Create a custom embedding field with a specific type
+$customField = $factory->create('custom_embedding_type');
+echo $customField->getType(); // "custom_embedding_type"
diff --git a/code_samples/back_office/limitation/src/Controller/CustomController.php b/code_samples/back_office/limitation/src/Controller/CustomController.php
index 8806f635c9..4e60672cf5 100644
--- a/code_samples/back_office/limitation/src/Controller/CustomController.php
+++ b/code_samples/back_office/limitation/src/Controller/CustomController.php
@@ -52,6 +52,7 @@ private function getCustomLimitationValue(): bool
         return $customLimitationValues['value'] ?? false;
     }
 
+    #[\Override]
     public function performAccessCheck(): void
     {
         $this->traitPerformAccessCheck();
diff --git a/docs/search/search_api.md b/docs/search/search_api.md
index ebfac7419b..72e3f117e6 100644
--- a/docs/search/search_api.md
+++ b/docs/search/search_api.md
@@ -465,19 +465,7 @@ Embedding vectors are stored in dedicated search fields that are created by `Ibe
 These fields are then used by the search engine to perform vector similarity comparisons when embedding queries are executed.
 
 ``` php
-use Ibexa\Contracts\Core\Search\FieldType\EmbeddingFieldFactory;
-use Ibexa\Contracts\Core\Search\Embedding\EmbeddingConfigurationInterface;
-
-// $config is an existing EmbeddingConfigurationInterface
-$factory = new EmbeddingFieldFactory($config);
-
-// Create a default embedding field (type derived from config suffix)
-$embeddingField = $factory->create();
-echo $embeddingField->getType(); // for example, "ibexa_dense_vector_model_123"
-
-// Create a custom embedding field with a specific type
-$customField = $factory->create('custom_embedding_type');
-echo $customField->getType(); // "custom_embedding_type"
+[[= include_file('code_samples/api/public_php_api/src/embedding_fields.php') =]]
 ```
 
 For more information, see [Embeddings reference](embeddings_reference.md).