diff --git a/configs/dbgpt-graphrag.toml b/configs/dbgpt-graphrag.toml
index ce4980bce..224e30caa 100644
--- a/configs/dbgpt-graphrag.toml
+++ b/configs/dbgpt-graphrag.toml
@@ -35,8 +35,26 @@ host="127.0.0.1"
 port=7687
 username="admin"
 password="73@TuGraph"
-#enable_summary="True"
-#enable_similarity_search="True"
+
+# enable_summary="True"
+# community_topk=20
+# community_score_threshold=0.3
+
+# triplet_graph_enabled="True"
+# extract_topk=20
+
+# document_graph_enabled="True"
+# knowledge_graph_chunk_search_top_size=20
+# knowledge_graph_extraction_batch_size=20
+
+# enable_similarity_search="True"
+# knowledge_graph_embedding_batch_size=20
+# similarity_search_topk=5
+# extract_score_threshold=0.7
+
+# enable_text_search="True"
+# text2gql_model_enabled="True"
+# text2gql_model_name="qwen2.5:latest"
 
 
 
diff --git a/packages/dbgpt-ext/src/dbgpt_ext/rag/retriever/graph_retriever/graph_retriever.py b/packages/dbgpt-ext/src/dbgpt_ext/rag/retriever/graph_retriever/graph_retriever.py
index 8709c644a..bd9cedc50 100644
--- a/packages/dbgpt-ext/src/dbgpt_ext/rag/retriever/graph_retriever/graph_retriever.py
+++ b/packages/dbgpt-ext/src/dbgpt_ext/rag/retriever/graph_retriever/graph_retriever.py
@@ -37,24 +37,18 @@ class GraphRetriever(GraphRetrieverBase):
         graph_store_adapter,
     ):
         """Initialize Graph Retriever."""
-        self._triplet_graph_enabled = (
-            os.environ["TRIPLET_GRAPH_ENABLED"].lower() == "true"
-            if "TRIPLET_GRAPH_ENABLED" in os.environ
-            else config.triplet_graph_enabled
+        self._triplet_graph_enabled = config.triplet_graph_enabled or (
+            os.getenv("TRIPLET_GRAPH_ENABLED", "").lower() == "true"
         )
-        self._document_graph_enabled = (
-            os.environ["DOCUMENT_GRAPH_ENABLED"].lower() == "true"
-            if "DOCUMENT_GRAPH_ENABLED" in os.environ
-            else config.document_graph_enabled
+        self._document_graph_enabled = config.document_graph_enabled or (
+            os.getenv("DOCUMENT_GRAPH_ENABLED", "").lower() == "true"
         )
         triplet_topk = int(
-            os.getenv("KNOWLEDGE_GRAPH_EXTRACT_SEARCH_TOP_SIZE", config.extract_topk)
+            config.extract_topk or os.getenv("KNOWLEDGE_GRAPH_EXTRACT_SEARCH_TOP_SIZE")
         )
         document_topk = int(
-            os.getenv(
-                "KNOWLEDGE_GRAPH_CHUNK_SEARCH_TOP_SIZE",
-                config.knowledge_graph_chunk_search_top_size,
-            )
+            config.knowledge_graph_chunk_search_top_size
+            or os.getenv("KNOWLEDGE_GRAPH_CHUNK_SEARCH_TOP_SIZE")
         )
         llm_client = config.llm_client
         model_name = config.model_name
@@ -62,27 +56,43 @@ class GraphRetriever(GraphRetrieverBase):
             graph_store_adapter.graph_store.enable_similarity_search
         )
         self._embedding_batch_size = int(
-            os.getenv(
-                "KNOWLEDGE_GRAPH_EMBEDDING_BATCH_SIZE",
-                config.knowledge_graph_embedding_batch_size,
-            )
+            config.knowledge_graph_embedding_batch_size
+            or os.getenv("KNOWLEDGE_GRAPH_EMBEDDING_BATCH_SIZE")
         )
         similarity_search_topk = int(
-            os.getenv(
-                "KNOWLEDGE_GRAPH_SIMILARITY_SEARCH_TOP_SIZE",
-                config.similarity_search_topk,
-            )
+            config.similarity_search_topk
+            or os.getenv("KNOWLEDGE_GRAPH_SIMILARITY_SEARCH_TOP_SIZE")
         )
         similarity_search_score_threshold = float(
-            os.getenv(
-                "KNOWLEDGE_GRAPH_EXTRACT_SEARCH_RECALL_SCORE",
-                config.extract_score_threshold,
-            )
+            config.extract_score_threshold
+            or os.getenv("KNOWLEDGE_GRAPH_EXTRACT_SEARCH_RECALL_SCORE")
         )
-        self._enable_text_search = (
-            os.environ["TEXT_SEARCH_ENABLED"].lower() == "true"
-            if "TEXT_SEARCH_ENABLED" in os.environ
-            else config.enable_text_search
+        self._enable_text_search = config.enable_text_search or (
+            os.getenv("TEXT_SEARCH_ENABLED", "").lower() == "true"
+        )
+        text2gql_model_enabled = config.text2gql_model_enabled or (
+            os.getenv("TEXT2GQL_MODEL_ENABLED", "").lower() == "true"
+        )
+        text2gql_model_name = config.text2gql_model_name or os.getenv(
+            "TEXT2GQL_MODEL_NAME"
+        )
+        text2gql_model_enabled = (
+            os.environ["TEXT2GQL_MODEL_ENABLED"].lower() == "true"
+            if "TEXT2GQL_MODEL_ENABLED" in os.environ
+            else config.text2gql_model_enabled
+        )
+        text2gql_model_name = os.getenv(
+            "TEXT2GQL_MODEL_NAME",
+            config.text2gql_model_name,
+        )
+        text2gql_model_enabled = (
+            os.environ["TEXT2GQL_MODEL_ENABLED"].lower() == "true"
+            if "TEXT2GQL_MODEL_ENABLED" in os.environ
+            else config.text2gql_model_enabled
+        )
+        text2gql_model_name = os.getenv(
+            "TEXT2GQL_MODEL_NAME",
+            config.text2gql_model_name,
         )
         text2gql_model_enabled = (
             os.environ["TEXT2GQL_MODEL_ENABLED"].lower() == "true"
diff --git a/packages/dbgpt-ext/src/dbgpt_ext/storage/knowledge_graph/community_summary.py b/packages/dbgpt-ext/src/dbgpt_ext/storage/knowledge_graph/community_summary.py
index 540605645..9de29bc91 100644
--- a/packages/dbgpt-ext/src/dbgpt_ext/storage/knowledge_graph/community_summary.py
+++ b/packages/dbgpt-ext/src/dbgpt_ext/storage/knowledge_graph/community_summary.py
@@ -95,7 +95,7 @@ logger = logging.getLogger(__name__)
             float,
             description=_("Recall score of community search in knowledge graph"),
             optional=True,
-            default=0.0,
+            default=0.3,
         ),
         Parameter.build_from(
             _("Enable the graph search for documents and chunks"),
@@ -171,7 +171,7 @@ class CommunitySummaryKnowledgeGraphConfig(BuiltinKnowledgeGraphConfig):
         description="Topk of community search in knowledge graph",
     )
     community_score_threshold: float = Field(
-        default=0.0,
+        default=0.3,
         description="Recall score of community search in knowledge graph",
     )
     triplet_graph_enabled: bool = Field(
@@ -244,56 +244,41 @@ class CommunitySummaryKnowledgeGraph(BuiltinKnowledgeGraph):
         super().__init__(config)
         self._config = config
 
-        self._vector_store_type = os.getenv(
-            "VECTOR_STORE_TYPE", config.vector_store_type
+        self._vector_store_type = config.vector_store_type or os.getenv(
+            "VECTOR_STORE_TYPE"
         )
         self._extract_topk = int(
-            os.getenv("KNOWLEDGE_GRAPH_EXTRACT_SEARCH_TOP_SIZE", config.extract_topk)
+            config.extract_topk or os.getenv("KNOWLEDGE_GRAPH_EXTRACT_SEARCH_TOP_SIZE")
         )
         self._extract_score_threshold = float(
-            os.getenv(
-                "KNOWLEDGE_GRAPH_EXTRACT_SEARCH_RECALL_SCORE",
-                config.extract_score_threshold,
-            )
+            config.extract_score_threshold
+            or os.getenv("KNOWLEDGE_GRAPH_EXTRACT_SEARCH_RECALL_SCORE")
         )
         self._community_topk = int(
-            os.getenv(
-                "KNOWLEDGE_GRAPH_COMMUNITY_SEARCH_TOP_SIZE", config.community_topk
-            )
+            config.community_topk
+            or os.getenv("KNOWLEDGE_GRAPH_COMMUNITY_SEARCH_TOP_SIZE")
         )
         self._community_score_threshold = float(
-            os.getenv(
-                "KNOWLEDGE_GRAPH_COMMUNITY_SEARCH_RECALL_SCORE",
-                config.community_score_threshold,
-            )
+            config.community_score_threshold
+            or os.getenv("KNOWLEDGE_GRAPH_COMMUNITY_SEARCH_RECALL_SCORE")
         )
-        self._document_graph_enabled = (
-            os.environ["DOCUMENT_GRAPH_ENABLED"].lower() == "true"
-            if "DOCUMENT_GRAPH_ENABLED" in os.environ
-            else config.document_graph_enabled
+        self._document_graph_enabled = config.document_graph_enabled or (
+            os.getenv("DOCUMENT_GRAPH_ENABLED", "").lower() == "true"
         )
-        self._triplet_graph_enabled = (
-            os.environ["TRIPLET_GRAPH_ENABLED"].lower() == "true"
-            if "TRIPLET_GRAPH_ENABLED" in os.environ
-            else config.triplet_graph_enabled
+        self._triplet_graph_enabled = config.triplet_graph_enabled or (
+            os.getenv("TRIPLET_GRAPH_ENABLED", "").lower() == "true"
         )
         self._triplet_extraction_batch_size = int(
-            os.getenv(
-                "KNOWLEDGE_GRAPH_EXTRACTION_BATCH_SIZE",
-                config.knowledge_graph_extraction_batch_size,
-            )
+            config.knowledge_graph_extraction_batch_size
+            or os.getenv("KNOWLEDGE_GRAPH_EXTRACTION_BATCH_SIZE")
         )
         self._triplet_embedding_batch_size = int(
-            os.getenv(
-                "KNOWLEDGE_GRAPH_EMBEDDING_BATCH_SIZE",
-                config.knowledge_graph_embedding_batch_size,
-            )
+            config.knowledge_graph_embedding_batch_size
+            or os.getenv("KNOWLEDGE_GRAPH_EMBEDDING_BATCH_SIZE")
         )
         self._community_summary_batch_size = int(
-            os.getenv(
-                "COMMUNITY_SUMMARY_BATCH_SIZE",
-                config.community_summary_batch_size,
-            )
+            config.community_summary_batch_size
+            or os.getenv("COMMUNITY_SUMMARY_BATCH_SIZE")
         )
 
         def extractor_configure(name: str, cfg: VectorStoreConfig):
diff --git a/packages/dbgpt-ext/src/dbgpt_ext/storage/knowledge_graph/knowledge_graph.py b/packages/dbgpt-ext/src/dbgpt_ext/storage/knowledge_graph/knowledge_graph.py
index 3e7abd354..636a7097a 100644
--- a/packages/dbgpt-ext/src/dbgpt_ext/storage/knowledge_graph/knowledge_graph.py
+++ b/packages/dbgpt-ext/src/dbgpt_ext/storage/knowledge_graph/knowledge_graph.py
@@ -149,7 +149,7 @@ class BuiltinKnowledgeGraph(KnowledgeGraphBase):
             cfg.name = config.name
             cfg.embedding_fn = config.embedding_fn
 
-        graph_store_type = os.getenv("GRAPH_STORE_TYPE") or config.type
+        graph_store_type = config.type or os.getenv("GRAPH_STORE_TYPE")
         return GraphStoreFactory.create(graph_store_type, configure, config.dict())
 
     def __init_graph_store_adapter(self):
diff --git a/packages/dbgpt-serve/src/dbgpt_serve/rag/connector.py b/packages/dbgpt-serve/src/dbgpt_serve/rag/connector.py
index b4a24d0e8..28f42b202 100644
--- a/packages/dbgpt-serve/src/dbgpt_serve/rag/connector.py
+++ b/packages/dbgpt-serve/src/dbgpt_serve/rag/connector.py
@@ -96,7 +96,7 @@ class VectorStoreConnector:
 
     def __rewrite_index_store_type(self, index_store_type):
         # Rewrite Knowledge Graph Type
-        if self.app_config.rag.graph_community_summary_enabled:
+        if self.app_config.rag.storage.graph.get("enable_summary").lower() == "true":
             if index_store_type == "KnowledgeGraph":
                 return "CommunitySummaryKnowledgeGraph"
         return index_store_type