diff --git a/backend/application/knowledge/init.go b/backend/application/knowledge/init.go
index c7ea4b32..fe3f2153 100644
--- a/backend/application/knowledge/init.go
+++ b/backend/application/knowledge/init.go
@@ -172,7 +172,13 @@ func getVectorStore(ctx context.Context) (searchstore.Manager, error) {
 		defer cancel()
 
 		milvusAddr := os.Getenv("MILVUS_ADDR")
-		mc, err := milvusclient.New(cctx, &milvusclient.ClientConfig{Address: milvusAddr})
+		user := os.Getenv("MILVUS_USER")
+		password := os.Getenv("MILVUS_PASSWORD")
+		mc, err := milvusclient.New(cctx, &milvusclient.ClientConfig{
+			Address:  milvusAddr,
+			Username: user,
+			Password: password,
+		})
 		if err != nil {
 			return nil, fmt.Errorf("init milvus client failed, err=%w", err)
 		}
diff --git a/docker/.env.example b/docker/.env.example
index a9bdaca8..ea652d0b 100644
--- a/docker/.env.example
+++ b/docker/.env.example
@@ -86,6 +86,8 @@ export RMQ_SECRET_KEY=""
 export VECTOR_STORE_TYPE="milvus"
 # milvus vector store
 export MILVUS_ADDR="milvus:19530"
+export MILVUS_USER=""
+export MILVUS_PASSWORD=""
 # vikingdb vector store for Volcengine
 export VIKING_DB_HOST=""
 export VIKING_DB_REGION=""
@@ -98,10 +100,17 @@ export VIKING_DB_MODEL_NAME="" # if vikingdb model name is not set, you need to
 # The Embedding model relied on by knowledge base vectorization does not need to be configured
 # if the vector database comes with built-in Embedding functionality (such as VikingDB). Currently,
 # Coze Studio supports four access methods: openai, ark, ollama, and custom http. Users can simply choose one of them when using
-# embedding type: openai / ark / ollama / http
+# embedding type: ark / openai / ollama / http
 export EMBEDDING_TYPE="ark"
 export EMBEDDING_MAX_BATCH_SIZE=100
 
+# ark embedding by volcengine / byteplus
+export ARK_EMBEDDING_BASE_URL="" # (string, required) Ark embedding base_url
+export ARK_EMBEDDING_MODEL=""    # (string, required) Ark embedding model
+export ARK_EMBEDDING_API_KEY=""  # (string, required) Ark embedding api_key
+export ARK_EMBEDDING_DIMS="2048" # (int,    required) Ark embedding dimensions
+export ARK_EMBEDDING_API_TYPE="" # (string, optional) Ark embedding api type, should be "text_api" / "multi_modal_api". Default "text_api".
+
 # openai embedding
 export OPENAI_EMBEDDING_BASE_URL=""       # (string, required) OpenAI embedding base_url
 export OPENAI_EMBEDDING_MODEL=""          # (string, required) OpenAI embedding model
@@ -111,13 +120,6 @@ export OPENAI_EMBEDDING_API_VERSION=""    # (string, optional) OpenAI embedding
 export OPENAI_EMBEDDING_DIMS=1024         # (int,    required) OpenAI embedding dimensions
 export OPENAI_EMBEDDING_REQUEST_DIMS=1024 # (int,    optional) OpenAI embedding dimensions in requests, need to be empty if api doesn't support specifying dimensions.
 
-# ark embedding by volcengine / byteplus
-export ARK_EMBEDDING_MODEL=""    # (string, required) Ark embedding model
-export ARK_EMBEDDING_API_KEY=""  # (string, required) Ark embedding api_key
-export ARK_EMBEDDING_DIMS="2048" # (int,    required) Ark embedding dimensions
-export ARK_EMBEDDING_BASE_URL="" # (string, required) Ark embedding base_url
-export ARK_EMBEDDING_API_TYPE="" # (string, optional) Ark embedding api type, should be "text_api" / "multi_modal_api". Default "text_api".
-
 # ollama embedding
 export OLLAMA_EMBEDDING_BASE_URL="" # (string, required) Ollama embedding base_url
 export OLLAMA_EMBEDDING_MODEL=""    # (string, required) Ollama embedding model