docs: Query API snippets with Python (#1095)

Co-authored-by: generall <andrey@vasnetsov.com>

qdrant-landing/content/documentation/tutorials/neural-search.md

@@ -226,12 +226,12 @@ def search(self, text: str):
     vector = self.model.encode(text).tolist()
 
     # Use `vector` for search for closest vectors in the collection
-    search_result = self.qdrant_client.search(
+    search_result = self.qdrant_client.query_points(
         collection_name=self.collection_name,
-        query_vector=vector,
+        query=vector,
         query_filter=None,  # If you don't want any filters for now
         limit=5,  # 5 the most closest results is enough
-    )
+    ).points
     # `search_result` contains found vector ids with similarity scores along with the stored payload
     # In this function you are interested in payload only
     payloads = [hit.payload for hit in search_result]
@@ -260,12 +260,12 @@ from qdrant_client.models import Filter
         }]
     })
 
-    search_result = self.qdrant_client.search(
+    search_result = self.qdrant_client.query_points(
         collection_name=self.collection_name,
-        query_vector=vector,
+        query=vector,
         query_filter=city_filter,
         limit=5
-    )
+    ).points
     ...
 ```