updating the max token

app.py

@@ -64,7 +64,7 @@ def truncate_content_to_token_limit(content, max_tokens=1200):
     return truncated_content
 
 
-def search_similar_documents(query, max_tokens=700):
+def search_similar_documents(query, max_tokens=1200):
     """Search for the most similar document and truncate the content to a token limit."""
     query_embedding = embedding_model.encode(query).reshape(1, -1)
     distances, indices = index.search(query_embedding, 1)  # Retrieve the top-1 result