diff --git a/tools/knowlege_init.py b/tools/knowlege_init.py
index 56889bd7f..bf1cb1b68 100644
--- a/tools/knowlege_init.py
+++ b/tools/knowlege_init.py
@@ -5,6 +5,8 @@ import os
 import sys
 
 from pilot.embedding_engine.knowledge_type import KnowledgeType
+from pilot.openapi.knowledge.knowledge_service import KnowledgeService
+from pilot.openapi.knowledge.request.knowledge_request import KnowledgeSpaceRequest
 
 sys.path.append(os.path.dirname(os.path.dirname(os.path.realpath(__file__))))
 
@@ -14,6 +16,7 @@ from pilot.configs.model_config import (
     LLM_MODEL_CONFIG,
 )
 from pilot.embedding_engine.knowledge_embedding import KnowledgeEmbedding
+knowledge_space_service = KnowledgeService()
 
 CFG = Config()
 
@@ -23,7 +26,7 @@ class LocalKnowledgeInit:
 
     def __init__(self, vector_store_config) -> None:
         self.vector_store_config = vector_store_config
-        self.model_name = LLM_MODEL_CONFIG["text2vec"]
+        self.model_name = LLM_MODEL_CONFIG[CFG.EMBEDDING_MODEL]
 
     def knowledge_persist(self, file_path):
         """knowledge persist"""
@@ -39,6 +42,12 @@ class LocalKnowledgeInit:
                 )
                 client = ke.init_knowledge_embedding()
                 client.source_embedding()
+        print(f"""begin create {self.vector_store_config["vector_store_name"]} space""")
+        space = KnowledgeSpaceRequest
+        space.name = self.vector_store_config["vector_store_name"]
+        space.desc = ""
+        space.owner = "knowledge_init.py"
+        knowledge_space_service.create_knowledge_space(space)
 
 
 if __name__ == "__main__":