diff --git a/api/chat.py b/api/chat.py
index d0e692e..1bed490 100644
--- a/api/chat.py
+++ b/api/chat.py
@@ -10,7 +10,7 @@ import re
 # OpenAI models
 EMBEDDING_MODEL = "text-embedding-ada-002"
 COMPLETIONS_MODEL = "gpt-3.5-turbo"
-COMPLETIONS_MODEL = "gpt-4"
+# COMPLETIONS_MODEL = "gpt-4"
 
 STANDARD_K = 20 if COMPLETIONS_MODEL == 'gpt-4' else 10
 
diff --git a/api/get_blocks.py b/api/get_blocks.py
index a54389a..a26f46a 100644
--- a/api/get_blocks.py
+++ b/api/get_blocks.py
@@ -45,7 +45,7 @@ def get_embedding(text: str) -> np.ndarray:
 
 
 # Get the k blocks most semantically similar to the query using Pinecone.
-def get_top_k_blocks(index, user_query: str, k: int = 10) -> List[Block]:
+def get_top_k_blocks(index, user_query: str, k: int = 20) -> List[Block]:
 
     # print time
     t = time.time()