diff --git a/dbgpt/app/base.py b/dbgpt/app/base.py
index 622440666..830fa75ea 100644
--- a/dbgpt/app/base.py
+++ b/dbgpt/app/base.py
@@ -105,12 +105,28 @@ def _migration_db_storage(param: "WebServerParameters"):
         from dbgpt.storage.metadata.db_manager import db
         from dbgpt.util._db_migration_utils import _ddl_init_and_upgrade
 
-        # try to create all tables
-        try:
-            db.create_all()
-        except Exception as e:
-            logger.warning(f"Create all tables stored in this metadata error: {str(e)}")
-        _ddl_init_and_upgrade(default_meta_data_path, param.disable_alembic_upgrade)
+        # Try to create all tables, when the dbtype is sqlite, it will auto create and upgrade system schema,
+        # Otherwise, you need to execute initialization scripts to create schemas.
+        CFG = Config()
+        if CFG.LOCAL_DB_TYPE == "sqlite":
+            try:
+                db.create_all()
+            except Exception as e:
+                logger.warning(
+                    f"Create all tables stored in this metadata error: {str(e)}"
+                )
+
+                _ddl_init_and_upgrade(
+                    default_meta_data_path, param.disable_alembic_upgrade
+                )
+        else:
+            warn_msg = """For safety considerations, MySQL Database not support DDL init and upgrade. "
+                "1.If you are use DB-GPT firstly, please manually execute the following command to initialize, 
+                `mysql -h127.0.0.1 -uroot -p{your_password} < ./assets/schema/dbgpt.sql` "
+                "2.If there are any changes to the table columns in the DB-GPT database, 
+                it is necessary to compare with the DB-GPT/assets/schema/dbgpt.sql file 
+                and manually make the columns changes in the MySQL database instance."""
+            logger.warning(warn_msg)
 
 
 def _initialize_db(
@@ -118,7 +134,7 @@ def _initialize_db(
 ) -> str:
     """Initialize the database
 
-    Now just support sqlite and mysql. If db type is sqlite, the db path is `pilot/meta_data/{db_name}.db`.
+    Now just support sqlite and MySQL. If db type is sqlite, the db path is `pilot/meta_data/{db_name}.db`.
     """
     from urllib.parse import quote
     from urllib.parse import quote_plus as urlquote
diff --git a/dbgpt/storage/vector_store/milvus_store.py b/dbgpt/storage/vector_store/milvus_store.py
index 2daedf08a..a29e137d7 100644
--- a/dbgpt/storage/vector_store/milvus_store.py
+++ b/dbgpt/storage/vector_store/milvus_store.py
@@ -79,7 +79,7 @@ def __init__(self, vector_store_config: MilvusVectorConfig) -> None:
         self.port = milvus_vector_config.get("post") or os.getenv(
             "MILVUS_PORT", "19530"
         )
-        self.username = milvus_vector_config.get("user") or os.getenv("MILVUS_USER")
+        self.username = milvus_vector_config.get("user") or os.getenv("MILVUS_USERNAME")
         self.password = milvus_vector_config.get("password") or os.getenv(
             "MILVUS_PASSWORD"
         )
@@ -133,7 +133,7 @@ def __init__(self, vector_store_config: MilvusVectorConfig) -> None:
         connections.connect(
             host=self.uri or "127.0.0.1",
             port=self.port or "19530",
-            username=self.username,
+            user=self.username,
             password=self.password,
             alias="default",
         )
diff --git a/docs/docs/installation/sourcecode.md b/docs/docs/installation/sourcecode.md
index bab7399b4..785c87417 100644
--- a/docs/docs/installation/sourcecode.md
+++ b/docs/docs/installation/sourcecode.md
@@ -354,7 +354,50 @@ Modify the `.env` file to use llama.cpp, and then you can start the service by r
 |          `llama_cpp_cache_capacity` |     None     |    Maximum model cache size. For example: 2000MiB, 2GiB                   | 
 |            `llama_cpp_prefer_cpu`   |     False     |    If a GPU is available, the GPU will be used first by default unless prefer_cpu=False is configured.              | 
 
+## Install DB-GPT Application Database
+<Tabs
+  defaultValue="sqlite"
+  values={[
+    {label: 'SQLite', value: 'sqlite'},
+    {label: 'MySQL', value: 'mysql'},
+  ]}>
+<TabItem value="sqlite" label="sqlite">
+
+:::tip NOTE
+
+You do not need to separately create the database tables related to the DB-GPT application in SQLite; 
+they will be created automatically for you by default.
+
+:::
+
+
+ </TabItem>
+<TabItem value="mysql" label="MySQL">
+
+:::warning NOTE
+
+After version 0.4.7, we removed the automatic generation of MySQL database Schema for safety.
 
+:::
+
+1. Frist, execute MySQL script to create database and tables.
+
+```python
+$ mysql -h127.0.0.1 -uroot -p{your_password} < ./assets/schema/dbgpt.sql
+```
+
+2. Second, set DB-GPT MySQL database settings in `.env` file.
+
+```python
+LOCAL_DB_TYPE=mysql
+LOCAL_DB_USER= {your username}
+LOCAL_DB_PASSWORD={your_password}
+LOCAL_DB_HOST=127.0.0.1
+LOCAL_DB_PORT=3306
+```
+
+ </TabItem>
+</Tabs>
 
 
 ## Test data (optional)
diff --git a/examples/awel/simple_dbschema_retriever_example.py b/examples/rag/simple_dbschema_retriever_example.py
similarity index 100%
rename from examples/awel/simple_dbschema_retriever_example.py
rename to examples/rag/simple_dbschema_retriever_example.py
diff --git a/examples/awel/simple_rag_embedding_example.py b/examples/rag/simple_rag_embedding_example.py
similarity index 100%
rename from examples/awel/simple_rag_embedding_example.py
rename to examples/rag/simple_rag_embedding_example.py
diff --git a/examples/awel/simple_rag_retriever_example.py b/examples/rag/simple_rag_retriever_example.py
similarity index 100%
rename from examples/awel/simple_rag_retriever_example.py
rename to examples/rag/simple_rag_retriever_example.py