Update code samples

Author: Mubelotix

.code-samples.meilisearch.yaml

@@ -198,7 +198,7 @@ search_post_1: |-
   let results: SearchResults<Movie> = client
     .index("movies")
     .search()
-    .with_query("American ninja")
+    .with_query("american ninja")
     .execute()
     .await
     .unwrap();
@@ -255,6 +255,13 @@ async_guide_filter_by_ids_1: |-
     .await
     .unwrap();
 async_guide_filter_by_statuses_1: |-
+  let mut query = TasksQuery::new(&client);
+  let tasks = query
+    .with_statuses(["failed"])
+    .execute()
+    .await
+    .unwrap();
+async_guide_filter_by_statuses_2: |-
   let mut query = TasksQuery::new(&client);
   let tasks = query
     .with_statuses(["failed", "canceled"])
@@ -1823,3 +1830,124 @@ reset_localized_attribute_settings_1: |-
     .reset_localized_attributes()
     .await
     .unwrap();
+basic_security_tutorial_listing_1: |-
+  let client = Client::new("http://localhost:7700", Some("MASTER_KEY"));
+  client
+    .get_keys()
+    .await
+    .unwrap();
+basic_security_tutorial_admin_1: |-
+  let client = Client::new("http://localhost:7700", Some("DEFAULT_ADMIN_API_KEY"));
+  let task = client
+    .create_index("medical_records", Some("id"))
+    .await
+    .unwrap();
+basic_security_tutorial_search_1: |-
+  let client = Client::new("http://localhost:7700", Some("DEFAULT_SEARCH_API_KEY"));
+  let index = client.index("medical_records");
+  index
+    .search()
+    .with_query("appointments")
+    .execute::<MedicalRecord>()
+    .await
+    .unwrap();
+get_embedders_1: |-
+  let embedders = index.get_embedders().await.unwrap();
+reset_embedders_1: |-
+  index.reset_embedders().await.unwrap();
+get_similar_post_1: |-
+  let results = index
+    .similar_search("TARGET_DOCUMENT_ID", "EMBEDDER_NAME")
+    .execute()
+    .await
+    .unwrap();
+index_settings_tutorial_api_get_setting_1: |-
+  let searchable_attributes: Vec<String> = index
+    .get_searchable_attributes()
+    .await
+    .unwrap();
+index_settings_tutorial_api_put_setting_1: |-
+  let task = index
+    .set_searchable_attributes(["title", "overview"])
+    .await
+    .unwrap();
+index_settings_tutorial_api_task_1: |-
+  let task_status = index.get_task(&task).await.unwrap();
+negative_search_1: |-
+  let results = index.search()
+    .with_query("-escape")
+    .execute()
+    .await
+    .unwrap();
+negative_search_2: |-
+  let results = index.search()
+    .with_query("-\"escape room\"")
+    .execute()
+    .await
+    .unwrap();
+related_results_embedder_1: |-
+  let embedders = HashMap::from([(
+    String::from("movies-text"),
+    Embedder {
+      source: EmbedderSource::OpenAi,
+      api_key: Some(String::from("OPENAI_API_KEY")),
+      model: Some(String::from("text-embedding-3-small")),
+      document_template: Some(String::from("A movie titled '{{doc.title}}' released in {{ doc.release_date }}. The movie genres are: {{doc.genres}}. The story is about: {{doc.overview|truncatewords: 20}}")),
+      ..Embedder::default()
+    }
+  )]);
+  movies.set_embedders(&embedders)
+    .await
+    .unwrap();
+related_results_search_1: |-
+  let results = movies.search()
+    .with_query("batman")
+    .with_hybrid("EMBEDDER_NAME", 0.5)
+    .execute()
+    .await
+    .unwrap();
+related_results_similar_1: |-
+  let results = movies.similar_search("192", "EMBEDDER_NAME")
+    .execute()
+    .await
+    .unwrap();
+search_parameter_guide_hybrid_1: |-
+  let results = index
+    .search()
+    .with_query("kitchen utensils")
+    .with_hybrid("EMBEDDER_NAME", 0.9)
+    .execute()
+    .await
+    .unwrap();
+search_parameter_guide_vector_1: |-
+  let results = index
+    .search()
+    .with_vector(&[0.0, 1.0, 2.0])
+    .with_hybrid("EMBEDDER_NAME", 1.0)
+    .execute()
+    .await
+    .unwrap();
+search_parameter_reference_retrieve_vectors_1: |-
+  let results = index
+    .search()
+    .with_query("kitchen utensils")
+    .with_retrieve_vectors(true)
+    .with_hybrid("EMBEDDER_NAME", 0.5)
+    .execute()
+    .await
+    .unwrap();
+update_embedders_1: |-
+  let embedders = HashMap::from([(
+    String::from("default"),
+    Embedder {
+      source: EmbedderSource::OpenAi,
+      api_key: Some(String::from("OPEN_AI_API_KEY")),
+      model: Some(String::from("text-embedding-3-small")),
+      document_template: Some(String::from("A document titled '{{doc.title}}' whose description starts with {{doc.overview|truncatewords: 20}}")),
+      ..Embedder::default()
+    }
+  )]);
+  let task = index
+    .set_embedders(&embedders)
+    .await
+    .unwrap();