diff --git a/src/vanna/base/base.py b/src/vanna/base/base.py
index adeda0ad..e8e0bbf9 100644
--- a/src/vanna/base/base.py
+++ b/src/vanna/base/base.py
@@ -867,6 +867,7 @@ def connect_to_postgres(
         port: int = None,
         **kwargs
     ):
+
         """
         Connect to postgres using the psycopg2 connector. This is just a helper function to set [`vn.run_sql`][vanna.base.base.VannaBase.run_sql]
         **Example:**
@@ -940,26 +941,44 @@ def connect_to_postgres(
         except psycopg2.Error as e:
             raise ValidationError(e)
 
+        def connect_to_db():
+            return psycopg2.connect(host=host, dbname=dbname,
+                        user=user, password=password, port=port, **kwargs)
+
+
         def run_sql_postgres(sql: str) -> Union[pd.DataFrame, None]:
-            if conn:
-                try:
-                    cs = conn.cursor()
-                    cs.execute(sql)
-                    results = cs.fetchall()
+            conn = None
+            try:
+                conn = connect_to_db()  # Initial connection attempt
+                cs = conn.cursor()
+                cs.execute(sql)
+                results = cs.fetchall()
 
-                    # Create a pandas dataframe from the results
-                    df = pd.DataFrame(
-                        results, columns=[desc[0] for desc in cs.description]
-                    )
-                    return df
+                # Create a pandas dataframe from the results
+                df = pd.DataFrame(results, columns=[desc[0] for desc in cs.description])
+                return df
+
+            except psycopg2.InterfaceError as e:
+                # Attempt to reconnect and retry the operation
+                if conn:
+                    conn.close()  # Ensure any existing connection is closed
+                conn = connect_to_db()
+                cs = conn.cursor()
+                cs.execute(sql)
+                results = cs.fetchall()
+
+                # Create a pandas dataframe from the results
+                df = pd.DataFrame(results, columns=[desc[0] for desc in cs.description])
+                return df
 
-                except psycopg2.Error as e:
+            except psycopg2.Error as e:
+                if conn:
                     conn.rollback()
                     raise ValidationError(e)
 
-                except Exception as e:
-                    conn.rollback()
-                    raise e
+            except Exception as e:
+                        conn.rollback()
+                        raise e
 
         self.dialect = "PostgreSQL"
         self.run_sql_is_set = True
@@ -1306,7 +1325,6 @@ def run_sql_bigquery(sql: str) -> Union[pd.DataFrame, None]:
                 job = conn.query(sql)
                 df = job.result().to_dataframe()
                 return df
-
             return None
 
         self.dialect = "BigQuery SQL"