update docs

Signed-off-by: liyun95 <[email protected]>
VinothKumar-Ganesan · Dec 4, 2024 · 8dd91f0 · 8dd91f0
1 parent ec97ee8
commit 8dd91f0
Showing 1 changed file with 10 additions and 8 deletions.
diff --git a/site/en/userGuide/search-query-get/full-text-search.md b/site/en/userGuide/search-query-get/full-text-search.md
@@ -64,8 +64,10 @@ First, create the schema and add the necessary fields:
 
 ```python
 from pymilvus import MilvusClient, DataType, Function, FunctionType
+
+client = MilvusClient(uri="http://localhost:19530")
 
-schema = MilvusClient.create_schema()
+schema = client.create_schema()
 
 schema.add_field(field_name="id", datatype=DataType.INT64, is_primary=True, auto_id=True)
 schema.add_field(field_name="text", datatype=DataType.VARCHAR, max_length=1000, enable_analyzer=True)
@@ -286,7 +288,7 @@ After defining the schema with necessary fields and the built-in function, set u
 </div>
 
 ```python
-index_params = MilvusClient.prepare_index_params()
+index_params = client.prepare_index_params()
 
 index_params.add_index(
     field_name="sparse",
@@ -357,7 +359,7 @@ Now create the collection using the schema and index parameters defined.
 </div>
 
 ```python
-MilvusClient.create_collection(
+client.create_collection(
     collection_name='demo', 
     schema=schema, 
     index_params=index_params
@@ -477,10 +479,10 @@ Once you've inserted data into your collection, you can perform full text search
 
 ```python
 search_params = {
-    'params': {'drop_ratio_search': 0.6},
+    'params': {'drop_ratio_search': 0.2},
 }
 
-MilvusClient.search(
+client.search(
     collection_name='demo', 
     data=['whats the focus of information retrieval?'],
     anns_field='sparse',
@@ -496,7 +498,7 @@ import io.milvus.v2.service.vector.request.data.EmbeddedText;
 import io.milvus.v2.service.vector.response.SearchResp;
 
 Map<String,Object> searchParams = new HashMap<>();
-searchParams.put("drop_ratio_search", 0.6);
+searchParams.put("drop_ratio_search", 0.2);
 SearchResp searchResp = client.search(SearchReq.builder()
         .collectionName("demo")
         .data(Collections.singletonList(new EmbeddedText("whats the focus of information retrieval?")))
@@ -513,7 +515,7 @@ await client.search(
     data: ['whats the focus of information retrieval?'],
     anns_field: 'sparse',
     limit: 3,
-    params: {'drop_ratio_search': 0.6},
+    params: {'drop_ratio_search': 0.2},
 )
 ```
 
@@ -534,7 +536,7 @@ curl --request POST \
     ],
     "searchParams":{
         "params":{
-            "drop_ratio_search":0.6
+            "drop_ratio_search":0.2
         }
     }
 }'