catalog is not defined for demo "llm-rag-chatbot" about dbdemos HOT 5 OPEN

Hi @lynnlangit, the demo requires Unity Catalog to work indeed, I'll add a note.

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hey, this was a bug in the previous version, I think it's fixed in the latest.
Can you try to reinstall it we released the fix yesterday ?
It should be in 0.3.49

technically there are 2 rows inverted for some reason during the config notebook install, you need to first install the pip and then load the config file, not the other way around

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Hi, I get an error when executing in the notebook '01-Data-Preparation-and-Index': %run ../_resources/00-init $reset_all_data=false

The message is:
The execution of this command did not finish successfully and has error as below:

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hey, from the error you don't have access to the main catalog. Check in the data explorer which catalog is available for you and then install the demo here (catalog="xx").
You need to make sure Unity Catalog is enabled in your workspace!

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Please update your demo instructions to include the requirement (and instructions) to configure the Databricks Unity Catalog to be able to use Databricks Vector Search feature. I repro'd the errors shown earlier using an Azure Databricks cluster today for your example application --> https://notebooks.databricks.com/demos/llm-rag-chatbot/index.html#

Exception code shown below:

Exception: Response content b'{"error_code":"BAD_REQUEST","message":"Unity catalog is not enabled for this account or the workspace does not have a metastore attached. Unity Catalog enablement is required for Vector Search. Please enable Unity Catalog and try again later."}', status_code 400
File <command-4168473880346588>, line 5
      2 vsc = VectorSearchClient()
      4 if not endpoint_exists(vsc, VECTOR_SEARCH_ENDPOINT_NAME):
----> 5     vsc.create_endpoint(name=VECTOR_SEARCH_ENDPOINT_NAME, endpoint_type="STANDARD")
      7 wait_for_vs_endpoint_to_be_ready(vsc, VECTOR_SEARCH_ENDPOINT_NAME)
      8 print(f"Endpoint named {VECTOR_SEARCH_ENDPOINT_NAME} is ready.")

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