diff --git a/examples/awel/simple_dbschema_retriever_example.py b/examples/awel/simple_dbschema_retriever_example.py
index e9119fdb4..72c2dfcd3 100644
--- a/examples/awel/simple_dbschema_retriever_example.py
+++ b/examples/awel/simple_dbschema_retriever_example.py
@@ -3,7 +3,8 @@ from typing import Dict, List
 
 from pydantic import BaseModel, Field
 
-from dbgpt.configs.model_config import MODEL_PATH, PILOT_PATH
+from dbgpt._private.config import Config
+from dbgpt.configs.model_config import EMBEDDING_MODEL_CONFIG, MODEL_PATH, PILOT_PATH
 from dbgpt.core.awel import DAG, HttpTrigger, JoinOperator, MapOperator
 from dbgpt.datasource.rdbms.conn_sqlite import SQLiteTempConnect
 from dbgpt.rag.chunk import Chunk
@@ -38,9 +39,11 @@ from dbgpt.storage.vector_store.connector import VectorStoreConnector
 """
 
 
+CFG = Config()
+
+
 def _create_vector_connector():
     """Create vector connector."""
-    model_name = os.getenv("EMBEDDING_MODEL", "text2vec")
     return VectorStoreConnector.from_default(
         "Chroma",
         vector_store_config=ChromaVectorConfig(
@@ -48,7 +51,7 @@ def _create_vector_connector():
             persist_path=os.path.join(PILOT_PATH, "data"),
         ),
         embedding_fn=DefaultEmbeddingFactory(
-            default_model_name=os.path.join(MODEL_PATH, model_name),
+            default_model_name=EMBEDDING_MODEL_CONFIG[CFG.EMBEDDING_MODEL],
         ).create(),
     )
 
diff --git a/examples/awel/simple_rag_embedding_example.py b/examples/awel/simple_rag_embedding_example.py
index a49475acc..96d47ccc8 100644
--- a/examples/awel/simple_rag_embedding_example.py
+++ b/examples/awel/simple_rag_embedding_example.py
@@ -3,7 +3,8 @@ from typing import Dict, List
 
 from pydantic import BaseModel, Field
 
-from dbgpt.configs.model_config import MODEL_PATH, PILOT_PATH
+from dbgpt._private.config import Config
+from dbgpt.configs.model_config import EMBEDDING_MODEL_CONFIG, MODEL_PATH, PILOT_PATH
 from dbgpt.core.awel import DAG, HttpTrigger, MapOperator
 from dbgpt.rag.embedding.embedding_factory import DefaultEmbeddingFactory
 from dbgpt.rag.knowledge.base import KnowledgeType
@@ -25,10 +26,11 @@ from dbgpt.storage.vector_store.connector import VectorStoreConnector
             }'
 """
 
+CFG = Config()
+
 
 def _create_vector_connector() -> VectorStoreConnector:
     """Create vector connector."""
-    model_name = os.getenv("EMBEDDING_MODEL", "text2vec")
     return VectorStoreConnector.from_default(
         "Chroma",
         vector_store_config=ChromaVectorConfig(
@@ -36,7 +38,7 @@ def _create_vector_connector() -> VectorStoreConnector:
             persist_path=os.path.join(PILOT_PATH, "data"),
         ),
         embedding_fn=DefaultEmbeddingFactory(
-            default_model_name=os.path.join(MODEL_PATH, model_name),
+            default_model_name=EMBEDDING_MODEL_CONFIG[CFG.EMBEDDING_MODEL],
         ).create(),
     )
 
diff --git a/examples/awel/simple_rag_retriever_example.py b/examples/awel/simple_rag_retriever_example.py
index 5470fca36..e04f4ed0c 100644
--- a/examples/awel/simple_rag_retriever_example.py
+++ b/examples/awel/simple_rag_retriever_example.py
@@ -4,7 +4,8 @@ from typing import Dict, List
 
 from pydantic import BaseModel, Field
 
-from dbgpt.configs.model_config import MODEL_PATH, PILOT_PATH
+from dbgpt._private.config import Config
+from dbgpt.configs.model_config import EMBEDDING_MODEL_CONFIG, MODEL_PATH, PILOT_PATH
 from dbgpt.core.awel import DAG, HttpTrigger, JoinOperator, MapOperator
 from dbgpt.model.proxy import OpenAILLMClient
 from dbgpt.rag.chunk import Chunk
@@ -43,6 +44,8 @@ from dbgpt.storage.vector_store.connector import VectorStoreConnector
             }'
 """
 
+CFG = Config()
+
 
 class TriggerReqBody(BaseModel):
     query: str = Field(..., description="User query")
@@ -83,7 +86,7 @@ def _create_vector_connector():
             persist_path=os.path.join(PILOT_PATH, "data"),
         ),
         embedding_fn=DefaultEmbeddingFactory(
-            default_model_name=os.path.join(MODEL_PATH, model_name),
+            default_model_name=EMBEDDING_MODEL_CONFIG[CFG.EMBEDDING_MODEL],
         ).create(),
     )