diff --git a/.env.template b/.env.template
index ca3751f5c..3b7c8e887 100644
--- a/.env.template
+++ b/.env.template
@@ -55,6 +55,7 @@ EMBEDDING_MODEL=text2vec
 #EMBEDDING_MODEL=bge-large-zh
 KNOWLEDGE_CHUNK_SIZE=500
 KNOWLEDGE_SEARCH_TOP_SIZE=5
+#KNOWLEDGE_CHUNK_OVERLAP=50
 # Control whether to display the source document of knowledge on the front end.
 KNOWLEDGE_CHAT_SHOW_RELATIONS=False
 ## EMBEDDING_TOKENIZER   - Tokenizer to use for chunking large inputs
diff --git a/pilot/configs/config.py b/pilot/configs/config.py
index a25462c5e..680f9f856 100644
--- a/pilot/configs/config.py
+++ b/pilot/configs/config.py
@@ -228,7 +228,7 @@ class Config(metaclass=Singleton):
         ### EMBEDDING Configuration
         self.EMBEDDING_MODEL = os.getenv("EMBEDDING_MODEL", "text2vec")
         self.KNOWLEDGE_CHUNK_SIZE = int(os.getenv("KNOWLEDGE_CHUNK_SIZE", 100))
-        self.KNOWLEDGE_CHUNK_OVERLAP = int(os.getenv("KNOWLEDGE_CHUNK_OVERLAP", 100))
+        self.KNOWLEDGE_CHUNK_OVERLAP = int(os.getenv("KNOWLEDGE_CHUNK_OVERLAP", 50))
         self.KNOWLEDGE_SEARCH_TOP_SIZE = int(os.getenv("KNOWLEDGE_SEARCH_TOP_SIZE", 5))
         self.KNOWLEDGE_SEARCH_MAX_TOKEN = int(
             os.getenv("KNOWLEDGE_SEARCH_MAX_TOKEN", 2000)