Release new docs to master

milvus-io · Feb 5, 2025 · 388fc5b · 388fc5b
1 parent 63996ff
commit 388fc5b
Showing 1 changed file with 3 additions and 39 deletions.
diff --git a/v2.5.x/site/en/userGuide/search-query-get/boolean/basic-operators.md b/v2.5.x/site/en/userGuide/search-query-get/boolean/basic-operators.md
@@ -26,43 +26,7 @@ Comparison operators are used to filter data based on equality, inequality, or s
 
 - `<=` (Less than or equal to)
 
-### Example 1: Filtering with Equal To (`==`)
-
-Assume you have a field named `status` and you want to find all entities where `status` is "active". You can use the equality operator `==`:
-
-```python
-filter = 'status == "active"'
-
-```
-
-### Example 2: Filtering with Not Equal To (`!=`)
-
-To find entities where `status` is not "inactive":
-
-```python
-filter = 'status != "inactive"'
-
-```
-
-### Example 3: Filtering with Greater Than (`>`)
-
-If you want to find all entities with an `age` greater than 30:
-
-```python
-filter = 'age > 30'
-
-```
-
-### Example 4: Filtering with Less Than (`<`)
-
-To find entities where `price` is less than 100:
-
-```python
-filter = 'price < 100'
-
-```
-
-### Example 5: Filtering with Greater Than or Equal To (`>=`)
+### Example 1: Filtering with Greater Than or Equal To (`>=`)
 
 If you want to find all entities with `rating` greater than or equal to 4:
 
@@ -71,7 +35,7 @@ filter = 'rating >= 4'
 
 ```
 
-### Example 6: Filtering with Less Than or Equal To (`<=`)
+### Example 2: Filtering with Less Than or Equal To (`<=`)
 
 To find entities with `discount` less than or equal to 10%:
 
@@ -269,4 +233,4 @@ filter = 'history_temperatures[0] > 30'
 
 ## Conclusion
 
-Milvus offers a range of basic operators that give you flexibility in filtering and querying your data. By combining comparison, range, arithmetic, and logical operators, you can create powerful filter expressions to narrow down your search results and retrieve the data you need efficiently.
+Milvus offers a range of basic operators that give you flexibility in filtering and querying your data. By combining comparison, range, arithmetic, and logical operators, you can create powerful filter expressions to narrow down your search results and retrieve the data you need efficiently.