diff --git a/dbgpt/_version.py b/dbgpt/_version.py
index c484a1d8b..f22beb48e 100644
--- a/dbgpt/_version.py
+++ b/dbgpt/_version.py
@@ -1 +1 @@
-version = "0.5.6"
+version = "0.5.7"
diff --git a/dbgpt/app/scene/chat_dashboard/data_loader.py b/dbgpt/app/scene/chat_dashboard/data_loader.py
index 7d1724780..57c9e5bf2 100644
--- a/dbgpt/app/scene/chat_dashboard/data_loader.py
+++ b/dbgpt/app/scene/chat_dashboard/data_loader.py
@@ -1,7 +1,7 @@
+import datetime
 import logging
 from decimal import Decimal
 from typing import List
-import datetime
 
 from dbgpt._private.config import Config
 from dbgpt.app.scene.chat_dashboard.data_preparation.report_schma import ValueItem
diff --git a/dbgpt/rag/assembler/bm25.py b/dbgpt/rag/assembler/bm25.py
index b20da1375..6cb710b0e 100644
--- a/dbgpt/rag/assembler/bm25.py
+++ b/dbgpt/rag/assembler/bm25.py
@@ -15,6 +15,7 @@ from ..retriever.bm25 import BM25Retriever
 
 class BM25Assembler(BaseAssembler):
     """BM25 Assembler.
+
     refer https://www.elastic.co/guide/en/elasticsearch/reference/8.9/index-
     modules-similarity.html
     TF/IDF based similarity that has built-in tf normalization and is supposed to
@@ -43,7 +44,7 @@ class BM25Assembler(BaseAssembler):
     def __init__(
         self,
         knowledge: Knowledge,
-        es_config: ElasticsearchVectorConfig = None,
+        es_config: ElasticsearchVectorConfig,
         k1: Optional[float] = 2.0,
         b: Optional[float] = 0.75,
         chunk_parameters: Optional[ChunkParameters] = None,
@@ -122,7 +123,7 @@ class BM25Assembler(BaseAssembler):
     def load_from_knowledge(
         cls,
         knowledge: Knowledge,
-        es_config: ElasticsearchVectorConfig = None,
+        es_config: ElasticsearchVectorConfig,
         k1: Optional[float] = 2.0,
         b: Optional[float] = 0.75,
         chunk_parameters: Optional[ChunkParameters] = None,
@@ -152,7 +153,7 @@ class BM25Assembler(BaseAssembler):
     async def aload_from_knowledge(
         cls,
         knowledge: Knowledge,
-        es_config: ElasticsearchVectorConfig = None,
+        es_config: ElasticsearchVectorConfig,
         k1: Optional[float] = 2.0,
         b: Optional[float] = 0.75,
         chunk_parameters: Optional[ChunkParameters] = None,
diff --git a/dbgpt/rag/retriever/bm25.py b/dbgpt/rag/retriever/bm25.py
index 244feb8f6..0ef717b9b 100644
--- a/dbgpt/rag/retriever/bm25.py
+++ b/dbgpt/rag/retriever/bm25.py
@@ -14,16 +14,17 @@ from dbgpt.util.executor_utils import blocking_func_to_async
 
 class BM25Retriever(BaseRetriever):
     """BM25 retriever.
-    refer https://www.elastic.co/guide/en/elasticsearch/reference/8.9/index-
-    modules-similarity.html
+
+    refer https://www.elastic.co/guide/en/elasticsearch/reference/8.9/
+    index-modules-similarity.html;
     TF/IDF based similarity that has built-in tf normalization and is supposed to
     work better for short fields (like names). See Okapi_BM25 for more details.
-    This similarity has the following options:"""
+    """
 
     def __init__(
         self,
         top_k: int = 4,
-        es_index: str = None,
+        es_index: str = "dbgpt",
         es_client: Any = None,
         query_rewrite: Optional[QueryRewrite] = None,
         rerank: Optional[Ranker] = None,
diff --git a/setup.py b/setup.py
index 0ee8c9fa9..6e3666a78 100644
--- a/setup.py
+++ b/setup.py
@@ -19,7 +19,7 @@ with open("README.md", mode="r", encoding="utf-8") as fh:
 IS_DEV_MODE = os.getenv("IS_DEV_MODE", "true").lower() == "true"
 # If you modify the version, please modify the version in the following files:
 # dbgpt/_version.py
-DB_GPT_VERSION = os.getenv("DB_GPT_VERSION", "0.5.6")
+DB_GPT_VERSION = os.getenv("DB_GPT_VERSION", "0.5.7")
 
 BUILD_NO_CACHE = os.getenv("BUILD_NO_CACHE", "true").lower() == "true"
 LLAMA_CPP_GPU_ACCELERATION = (