Running the tutorial as-is doesn't seem to work properly. Attempting to create vector index with below name fails
index name: user_siddy_persson.rag_chatbot.databricks_documentation_vs_index
DLT-error: Failed to resolve flow: '__online_index_view'.
With the underlying error:
java.lang.Exception: Error: Response Code: 400, Response: {"error_code":"INVALID_PARAMETER_VALUE","message":"Failed to call Model Serving endpoint: bge-small-en."}
Stacktrace in the notebook:
Exception: Response content b'{"error_code":"INVALID_PARAMETER_VALUE","message":"Invalid index name. Must specify the full index name <catalog>.<schema>.<table>. Only alphanumerics and underscores are allowed."}', status_code 400
Changing the index name appears so solve the issue, e.g.: documentationindex works. Meaning my fully qualified index resource in UC becomes user_siddy_persson.rag_chatbot.documentationindex
Also, I think it'd be useful to clarify even further that the embedding endpoint is expected to exist in the workspace (and can't start with databricks_)
Running the tutorial as-is doesn't seem to work properly. Attempting to create vector index with below name fails index name:
user_siddy_persson.rag_chatbot.databricks_documentation_vs_indexDLT-error:
Failed to resolve flow: '__online_index_view'.With the underlying error:
Stacktrace in the notebook:
Changing the index name appears so solve the issue, e.g.:
documentationindexworks. Meaning my fully qualified index resource in UC becomesuser_siddy_persson.rag_chatbot.documentationindexAlso, I think it'd be useful to clarify even further that the embedding endpoint is expected to exist in the workspace (and can't start with
databricks_)