diff --git a/src/crewai/agents/executor.py b/src/crewai/agents/executor.py
index 98d0d1b47..dda8092ab 100644
--- a/src/crewai/agents/executor.py
+++ b/src/crewai/agents/executor.py
@@ -81,9 +81,7 @@ class CrewAgentExecutor(AgentExecutor):
                 datetime=str(time.time()),
                 expected_output=self.task.expected_output,
                 metadata={
-                    "suggestions": "\n".join(
-                        [f"- {s}" for s in evaluation.suggestions]
-                    ),
+                    "suggestions": evaluation.suggestions,
                     "quality": evaluation.quality,
                 },
             )
diff --git a/src/crewai/memory/contextual/contextual_memory.py b/src/crewai/memory/contextual/contextual_memory.py
index 5663613aa..2c25ccede 100644
--- a/src/crewai/memory/contextual/contextual_memory.py
+++ b/src/crewai/memory/contextual/contextual_memory.py
@@ -37,13 +37,18 @@ class ContextualMemory:
         Fetches historical data or insights from LTM that are relevant to the task's description and expected_output,
         formatted as bullet points.
         """
-        ltm_results = self.ltm.search(task)
+        ltm_results = self.ltm.search(task, latest_n=2)
         if not ltm_results:
             return None
-        formatted_results = "\n".join(
-            [f"{result['metadata']['suggestions']}" for result in ltm_results]
-        )
-        formatted_results = list(set(formatted_results.split('\n')))
+
+        formatted_results = [
+            suggestion
+            for result in ltm_results
+            for suggestion in result["metadata"]["suggestions"]
+        ]
+        formatted_results = list(dict.fromkeys(formatted_results))
+        formatted_results = "\n".join([f"- {result}" for result in formatted_results])
+
         return f"Historical Data:\n{formatted_results}" if ltm_results else ""
 
     def _fetch_entity_context(self, query) -> str:
diff --git a/src/crewai/memory/long_term/long_term_memory.py b/src/crewai/memory/long_term/long_term_memory.py
index 59ee129b4..57373dc0e 100644
--- a/src/crewai/memory/long_term/long_term_memory.py
+++ b/src/crewai/memory/long_term/long_term_memory.py
@@ -28,5 +28,5 @@ class LongTermMemory(Memory):
             datetime=item.datetime,
         )
 
-    def search(self, task: str) -> Dict[str, Any]:
-        return self.storage.load(task)
+    def search(self, task: str, latest_n: int) -> Dict[str, Any]:
+        return self.storage.load(task, latest_n)
diff --git a/src/crewai/memory/storage/ltm_sqlite_storage.py b/src/crewai/memory/storage/ltm_sqlite_storage.py
index b036bad4c..33c401d2a 100644
--- a/src/crewai/memory/storage/ltm_sqlite_storage.py
+++ b/src/crewai/memory/storage/ltm_sqlite_storage.py
@@ -67,19 +67,19 @@ class LTMSQLiteStorage:
                 color="red",
             )
 
-    def load(self, task_description: str) -> Dict[str, Any]:
+    def load(self, task_description: str, latest_n: int) -> Dict[str, Any]:
         """Queries the LTM table by task description with error handling."""
         try:
             with sqlite3.connect(self.db_path) as conn:
                 cursor = conn.cursor()
                 cursor.execute(
-                    """
-                SELECT metadata, datetime, score
-                FROM long_term_memories
-                WHERE task_description = ?
-                ORDER BY datetime DESC, score ASC
-                LIMIT 2
-              """,
+                    f"""
+                    SELECT metadata, datetime, score
+                    FROM long_term_memories
+                    WHERE task_description = ?
+                    ORDER BY datetime DESC, score ASC
+                    LIMIT {latest_n}
+                """,
                     (task_description,),
                 )
                 rows = cursor.fetchall()