diff --git a/cognee/api/v1/cognify/cognify.py b/cognee/api/v1/cognify/cognify.py
index 30afb269a..898c35518 100644
--- a/cognee/api/v1/cognify/cognify.py
+++ b/cognee/api/v1/cognify/cognify.py
@@ -269,13 +269,13 @@ async def get_default_tasks(  # TODO: Find out a better way to do this (Boris's
             graph_model=graph_model,
             config=config,
             custom_prompt=custom_prompt,
-            task_config={"batch_size": 100},
+            task_config={"batch_size": 20},
         ),  # Generate knowledge graphs from the document chunks.
         Task(
             summarize_text,
-            task_config={"batch_size": 100},
+            task_config={"batch_size": 20},
         ),
-        Task(add_data_points, task_config={"batch_size": 100}),
+        Task(add_data_points, task_config={"batch_size": 20}),
     ]
 
     return default_tasks
diff --git a/cognee/infrastructure/databases/vector/embeddings/config.py b/cognee/infrastructure/databases/vector/embeddings/config.py
index dcb55f4a4..314adbd99 100644
--- a/cognee/infrastructure/databases/vector/embeddings/config.py
+++ b/cognee/infrastructure/databases/vector/embeddings/config.py
@@ -24,11 +24,10 @@ class EmbeddingConfig(BaseSettings):
     model_config = SettingsConfigDict(env_file=".env", extra="allow")
 
     def model_post_init(self, __context) -> None:
-        # If embedding batch size is not defined use 2048 as default for OpenAI and 100 for all other embedding models
         if not self.embedding_batch_size and self.embedding_provider.lower() == "openai":
-            self.embedding_batch_size = 30
+            self.embedding_batch_size = 1024
         elif not self.embedding_batch_size:
-            self.embedding_batch_size = 10
+            self.embedding_batch_size = 100
 
     def to_dict(self) -> dict:
         """