diff --git a/apps/application/chat_pipeline/step/search_dataset_step/impl/base_search_dataset_step.py b/apps/application/chat_pipeline/step/search_dataset_step/impl/base_search_dataset_step.py
index ee6c2ff1d..7264b544a 100644
--- a/apps/application/chat_pipeline/step/search_dataset_step/impl/base_search_dataset_step.py
+++ b/apps/application/chat_pipeline/step/search_dataset_step/impl/base_search_dataset_step.py
@@ -22,6 +22,7 @@ from common.db.search import native_search
 from common.utils.common import get_file_content
 from knowledge.models import Paragraph, Knowledge
 from knowledge.models import SearchMode
+from knowledge.serializers.common import get_embedding_model_default_params
 from maxkb.conf import PROJECT_DIR
 from models_provider.models import Model
 from models_provider.tools import get_model, get_model_by_id
@@ -64,7 +65,8 @@ class BaseSearchDatasetStep(ISearchDatasetStep):
         if model.model_type != "EMBEDDING":
             raise Exception(_("Model does not exist"))
         self.context['model_name'] = model.name
-        embedding_model = ModelManage.get_model(model_id, lambda _id: get_model(model))
+        default_params = get_embedding_model_default_params(model)
+        embedding_model = ModelManage.get_model(model_id, lambda _id: get_model(model, **{**default_params}))
         embedding_value = embedding_model.embed_query(exec_problem_text)
         vector = VectorStore.get_embedding_vector()
         embedding_list = vector.query(exec_problem_text, embedding_value, knowledge_id_list, None, exclude_document_id_list,