diff --git a/src/khoj/processor/conversation/openai/gpt.py b/src/khoj/processor/conversation/openai/gpt.py
index dd01efd4..644bb961 100644
--- a/src/khoj/processor/conversation/openai/gpt.py
+++ b/src/khoj/processor/conversation/openai/gpt.py
@@ -46,7 +46,8 @@ def extract_questions(
     last_new_year = current_new_year.replace(year=today.year - 1)
 
     prompt = prompts.extract_questions.format(
-        current_date=today.strftime("%A, %Y-%m-%d"),
+        current_date=today.strftime("%Y-%m-%d"),
+        day_of_week=today.strftime("%A"),
         last_new_year=last_new_year.strftime("%Y"),
         last_new_year_date=last_new_year.strftime("%Y-%m-%d"),
         current_new_year_date=current_new_year.strftime("%Y-%m-%d"),
diff --git a/src/khoj/processor/conversation/prompts.py b/src/khoj/processor/conversation/prompts.py
index a4256525..6a917a0e 100644
--- a/src/khoj/processor/conversation/prompts.py
+++ b/src/khoj/processor/conversation/prompts.py
@@ -221,8 +221,8 @@ You are Khoj, an extremely smart and helpful search assistant with the ability t
 - Break messages into multiple search queries when required to retrieve the relevant information.
 - Add date filters to your search queries from questions and answers when required to retrieve the relevant information.
 
-What searches will you need to perform to answer the users question? Respond with search queries as list of strings in a JSON object.
-Current Date: {current_date}
+What searches will you perform to answer the users question? Respond with search queries as list of strings in a JSON object.
+Current Date: {day_of_week}, {current_date}
 User's Location: {location}
 
 Q: How was my trip to Cambodia?
diff --git a/src/khoj/routers/api.py b/src/khoj/routers/api.py
index b54da90b..aa615113 100644
--- a/src/khoj/routers/api.py
+++ b/src/khoj/routers/api.py
@@ -346,6 +346,7 @@ async def extract_references_and_questions(
     # Collate search results as context for GPT
     with timer("Searching knowledge base took", logger):
         result_list = []
+        logger.info(f"🔍 Searching knowledge base with queries: {inferred_queries}")
         for query in inferred_queries:
             n_items = min(n, 3) if using_offline_chat else n
             result_list.extend(