fix(api): Some params were ignored when creating empty Datasets through API (#17932)

web/app/(commonLayout)/datasets/template/template.en.mdx

@@ -314,6 +314,7 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
       </Property>
       <Property name='indexing_technique' type='string' key='indexing_technique'>
         Index technique (optional)
+        If this is not set, embedding_model, embedding_provider_name and retrieval_model will be set to null
           - <code>high_quality</code> High quality
           - <code>economy</code> Economy
       </Property>
@@ -334,6 +335,26 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
       <Property name='external_knowledge_id' type='str' key='external_knowledge_id'>
         External knowledge ID (optional)
       </Property>
+      <Property name='embedding_model' type='str' key='embedding_model'>
+        Embedding model name (optional)
+      </Property>
+      <Property name='embedding_provider_name' type='str' key='embedding_provider_name'>
+        Embedding model provider name (optional)
+      </Property>
+      <Property name='retrieval_model' type='object' key='retrieval_model'>
+        Retrieval model (optional)
+          - <code>search_method</code> (string) Search method
+            - <code>hybrid_search</code> Hybrid search
+            - <code>semantic_search</code> Semantic search
+            - <code>full_text_search</code> Full-text search
+          - <code>reranking_enable</code> (bool) Whether to enable reranking
+          - <code>reranking_model</code> (object) Rerank model configuration
+              - <code>reranking_provider_name</code> (string) Rerank model provider
+              - <code>reranking_model_name</code> (string) Rerank model name
+          - <code>top_k</code> (int) Number of results to return
+          - <code>score_threshold_enabled</code> (bool) Whether to enable score threshold
+          - <code>score_threshold</code> (float) Score threshold
+      </Property>
     </Properties>
   </Col>
   <Col sticky>
@@ -2281,4 +2302,4 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
     </tr>
   </tbody>
 </table>
-<div className="pb-4" />
+<div className="pb-4" />

web/app/(commonLayout)/datasets/template/template.ja.mdx

@@ -334,6 +334,26 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
       <Property name='external_knowledge_id' type='str' key='external_knowledge_id'>
         外部ナレッジ ID (オプション)
       </Property>
+      <Property name='embedding_model' type='str' key='embedding_model'>
+        埋め込みモデル名（任意）
+      </Property>
+      <Property name='embedding_provider_name' type='str' key='embedding_provider_name'>
+        埋め込みモデルのプロバイダ名（任意）
+      </Property>
+      <Property name='retrieval_model' type='object' key='retrieval_model'>
+        検索モデル（任意）
+          - <code>search_method</code> (文字列) 検索方法
+            - <code>hybrid_search</code> ハイブリッド検索
+            - <code>semantic_search</code> セマンティック検索
+            - <code>full_text_search</code> 全文検索
+          - <code>reranking_enable</code> (ブール値) リランキングを有効にするかどうか
+          - <code>reranking_model</code> (オブジェクト) リランクモデルの設定
+              - <code>reranking_provider_name</code> (文字列) リランクモデルのプロバイダ
+              - <code>reranking_model_name</code> (文字列) リランクモデル名
+          - <code>top_k</code> (整数) 返される結果の数
+          - <code>score_threshold_enabled</code> (ブール値) スコア閾値を有効にするかどうか
+          - <code>score_threshold</code> (浮動小数点数) スコア閾値
+      </Property>
     </Properties>
   </Col>
   <Col sticky>

web/app/(commonLayout)/datasets/template/template.zh.mdx

@@ -335,6 +335,26 @@ import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstructi
       <Property name='external_knowledge_id' type='str' key='external_knowledge_id'>
         外部知识库 ID（选填）
       </Property>
+      <Property name='embedding_model' type='str' key='embedding_model'>
+        Embedding 模型名称
+      </Property>
+      <Property name='embedding_provider_name' type='str' key='embedding_provider_name'>
+        Embedding 模型供应商
+      </Property>
+      <Property name='retrieval_model' type='object' key='retrieval_model'>
+        检索模式
+          - <code>search_method</code> (string) 检索方法
+            - <code>hybrid_search</code> 混合检索
+            - <code>semantic_search</code> 语义检索
+            - <code>full_text_search</code> 全文检索
+          - <code>reranking_enable</code> (bool) 是否开启rerank
+          - <code>reranking_model</code> (object) Rerank 模型配置
+            - <code>reranking_provider_name</code> (string) Rerank 模型的提供商
+            - <code>reranking_model_name</code> (string) Rerank 模型的名称
+          - <code>top_k</code> (int) 召回条数
+          - <code>score_threshold_enabled</code> (bool)是否开启召回分数限制
+          - <code>score_threshold</code> (float) 召回分数限制
+      </Property>
     </Properties>
   </Col>
   <Col sticky>