fix limit param in graph memory

mem0/memory/graph_memory.py

@@ -160,7 +160,7 @@ def add(self, data, filters):
 
         return returned_entities
 
-    def _search(self, query, filters, limit):
+    def _search(self, query, filters, limit=100):
         _tools = [SEARCH_TOOL]
         if self.llm_provider in ["azure_openai_structured", "openai_structured"]:
             _tools = [SEARCH_STRUCT_TOOL]
@@ -232,14 +232,14 @@ def _search(self, query, filters, limit):
 
         return result_relations
 
-    def search(self, query, filters, limit):
+    def search(self, query, filters, limit=100):
         """
         Search for memories and related graph data.
 
         Args:
             query (str): Query to search for.
             filters (dict): A dictionary containing filters to be applied during the search.
-            limit (int): The maximum number of nodes and relationships to retrieve.
+            limit (int): The maximum number of nodes and relationships to retrieve. Defaults to 100.
 
         Returns:
             dict: A dictionary containing:
@@ -274,13 +274,13 @@ def delete_all(self, filters):
         params = {"user_id": filters["user_id"]}
         self.graph.query(cypher, params=params)
 
-    def get_all(self, filters, limit):
+    def get_all(self, filters, limit=100):
         """
         Retrieves all nodes and relationships from the graph database based on optional filtering criteria.
 
         Args:
             filters (dict): A dictionary containing filters to be applied during the retrieval.
-            limit (int): The maximum number of nodes and relationships to retrieve.
+            limit (int): The maximum number of nodes and relationships to retrieve. Defaults to 100.
         Returns:
             list: A list of dictionaries, each containing:
                 - 'contexts': The base data store response for each memory.