When user tries using the notes slash command without having any data indexed

src/database/adapters/__init__.py

@@ -374,6 +374,10 @@ class EntryAdapters:
     def user_has_entries(user: KhojUser):
         return Entry.objects.filter(user=user).exists()
 
+    @staticmethod
+    async def auser_has_entries(user: KhojUser):
+        return await Entry.objects.filter(user=user).aexists()
+
     @staticmethod
     async def adelete_entry_by_file(user: KhojUser, file_path: str):
         return await Entry.objects.filter(user=user, file_path=file_path).adelete()

src/khoj/processor/conversation/prompts.py

@@ -35,6 +35,12 @@ no_notes_found = PromptTemplate.from_template(
     """.strip()
 )
 
+no_entries_found = PromptTemplate.from_template(
+    """
+    It looks like you haven't added any notes yet. No worries, you can fix that by downloading the Khoj app from <a href=https://khoj.dev/downloads>here</a>.
+""".strip()
+)
+
 ## Conversation Prompts for GPT4All Models
 ## --
 system_prompt_message_gpt4all = f"""You are Khoj, a smart, inquisitive and helpful personal assistant.

src/khoj/routers/api.py

@@ -38,7 +38,7 @@ from khoj.routers.helpers import (
     is_ready_to_chat,
     ApiUserRateLimiter,
 )
-from khoj.processor.conversation.prompts import help_message
+from khoj.processor.conversation.prompts import help_message, no_entries_found
 from khoj.processor.conversation.openai.gpt import extract_questions
 from khoj.processor.conversation.gpt4all.chat_model import extract_questions_offline
 from fastapi.requests import Request
@@ -606,7 +606,7 @@ async def chat(
     if conversation_command == ConversationCommand.Default and is_none_or_empty(compiled_references):
         conversation_command = ConversationCommand.General
 
-    if conversation_command == ConversationCommand.Help:
+    elif conversation_command == ConversationCommand.Help:
         conversation_config = await ConversationAdapters.aget_user_conversation_config(user)
         if conversation_config == None:
             conversation_config = await ConversationAdapters.aget_default_conversation_config()
@@ -614,6 +614,10 @@ async def chat(
         formatted_help = help_message.format(model=model_type, version=state.khoj_version, device=get_device())
         return StreamingResponse(iter([formatted_help]), media_type="text/event-stream", status_code=200)
 
+    elif conversation_command == ConversationCommand.Notes and not await EntryAdapters.auser_has_entries(user):
+        no_entries_found_format = no_entries_found.format()
+        return StreamingResponse(iter([no_entries_found_format]), media_type="text/event-stream", status_code=200)
+
     # Get the (streamed) chat response from the LLM of choice.
     llm_response, chat_metadata = await agenerate_chat_response(
         defiltered_query,

src/khoj/routers/helpers.py

@@ -47,6 +47,7 @@ async def is_ready_to_chat(user: KhojUser):
     if has_offline_config and user_conversation_config and user_conversation_config.model_type == "offline":
         chat_model = user_conversation_config.chat_model
         if state.gpt4all_processor_config is None:
+            logger.info("Loading Offline Chat Model...")
             state.gpt4all_processor_config = GPT4AllProcessorModel(chat_model=chat_model)
         return True