diff --git a/v2.5.x/site/en/menuStructure/en.json b/v2.5.x/site/en/menuStructure/en.json
index ffaa40f45..d04658105 100644
--- a/v2.5.x/site/en/menuStructure/en.json
+++ b/v2.5.x/site/en/menuStructure/en.json
@@ -428,7 +428,7 @@
           },
           {
             "label": "Array Field",
-            "id": "array.md",
+            "id": "array_data_type.md",
             "order": 8,
             "children": []
           },
diff --git a/v2.5.x/site/en/reference/schema.md b/v2.5.x/site/en/reference/schema.md
index 674540306..25a31fd1f 100644
--- a/v2.5.x/site/en/reference/schema.md
+++ b/v2.5.x/site/en/reference/schema.md
@@ -116,7 +116,7 @@ fields = [
   - DOUBLE: numpy.double
   - VARCHAR: VARCHAR
   - JSON: [JSON](use-json-fields.md)
-  - Array: [Array](array.md)
+  - Array: [Array](array_data_type.md)
 
   JSON as a composite data type is available. A JSON field comprises key-value pairs. Each key is a string, and a value can be a number, string, boolean value, array, or list. For details, refer to [JSON: a new data type](use-json-fields.md).
   
diff --git a/v2.5.x/site/en/userGuide/schema/array_data_type.md b/v2.5.x/site/en/userGuide/schema/array_data_type.md
index e3bc688fa..3d72e580e 100644
--- a/v2.5.x/site/en/userGuide/schema/array_data_type.md
+++ b/v2.5.x/site/en/userGuide/schema/array_data_type.md
@@ -1,5 +1,5 @@
 ---
-id: array.md
+id: array_data_type.md
 title: Array Field​​
 summary: The Array type is used to store fields containing multiple values of the same data type. It provides a flexible way to store attributes with multiple elements, making it especially useful in scenarios where a set of related data needs to be saved. In Milvus, you can store Array fields alongside vector data, enabling more complex query and filtering requirements.​
 ---
diff --git a/v2.5.x/site/en/userGuide/schema/number.md b/v2.5.x/site/en/userGuide/schema/number.md
index 200db8f9d..773e52e66 100644
--- a/v2.5.x/site/en/userGuide/schema/number.md
+++ b/v2.5.x/site/en/userGuide/schema/number.md
@@ -440,7 +440,7 @@ curl --request POST \​
 
 In this example, we insert data that includes `age`, `price`, `pk` (primary field), and vector representations (`embedding`). To ensure that the inserted data matches the fields defined in the schema, it's recommended to check data types in advance to avoid errors.​
 
-If you set `enable_dynamic_fields=True` when defining the schema, Milvus allows you to insert number fields that were not defined in advance. However, keep in mind that this may increase the complexity of queries and management, potentially impacting performance. For more information, refer to [​Dynamic Field](enable_dynamic_field.md).​
+If you set `enable_dynamic_fields=True` when defining the schema, Milvus allows you to insert number fields that were not defined in advance. However, keep in mind that this may increase the complexity of queries and management, potentially impacting performance. For more information, refer to [​Dynamic Field](enable-dynamic-field.md).​
 
 ## Search and query​
 
diff --git a/v2.5.x/site/en/userGuide/schema/schema.md b/v2.5.x/site/en/userGuide/schema/schema.md
index 4533bb659..659677b72 100644
--- a/v2.5.x/site/en/userGuide/schema/schema.md
+++ b/v2.5.x/site/en/userGuide/schema/schema.md
@@ -385,7 +385,7 @@ export schema="{​
 
 ### Add JSON fields​
 
-A JSON field usually stores half-structured JSON data. For more on the JSON fields, refer to [​JSON Field](use-json-field.md).​
+A JSON field usually stores half-structured JSON data. For more on the JSON fields, refer to [​JSON Field](use-json-fields.md).​
 
 <div class="multipleCode">
   <a href="#python">Python </a>
@@ -440,7 +440,7 @@ export schema="{​
 
 ### Add Array Fields​
 
-An array field stores a list of elements. The data types of all elements in an array field should be the same. For more on the array fields, refer to [​Array Field](array_data_field.md).​
+An array field stores a list of elements. The data types of all elements in an array field should be the same. For more on the array fields, refer to [​Array Field](array_data_type.md).​
 
 <div class="multipleCode">
   <a href="#python">Python </a>
diff --git a/v2.5.x/site/en/userGuide/schema/string.md b/v2.5.x/site/en/userGuide/schema/string.md
index 592a85fde..6ba0808b8 100644
--- a/v2.5.x/site/en/userGuide/schema/string.md
+++ b/v2.5.x/site/en/userGuide/schema/string.md
@@ -421,7 +421,7 @@ curl --request POST \​
 
 In this example, we insert data that includes `VARCHAR` fields (`varchar_field1` and `varchar_field2`), a primary field (`pk`), and vector representations (`embedding`). To ensure that the inserted data matches the fields defined in the schema, it is recommended to check data types in advance to avoid insertion errors.​
 
-If you set `enable_dynamic_fields=True` when defining the schema, Milvus allows you to insert string fields that were not defined in advance. However, keep in mind that this may increase the complexity of queries and management, potentially impacting performance. For more information, refer to [​Dynamic Field](enable-dynammic-field.md).​
+If you set `enable_dynamic_fields=True` when defining the schema, Milvus allows you to insert string fields that were not defined in advance. However, keep in mind that this may increase the complexity of queries and management, potentially impacting performance. For more information, refer to [​Dynamic Field](enable-dynamic-field.md).​
 
 ## Search and query​