A Generative AI Engineer I using the code below to test setting up a vector store: Assuming they intend to use Databricks managed embeddings with the default embedding model, what should be the next logical function call?
After setting up a vector store endpoint, creating an index is necessary to start populating and organizing the data. The create_delta_sync_index() function specifically creates an index that synchronizes with a Delta table, allowing automatic updates as the data changes. This is likely the most appropriate choice if the engineer plans to use dynamic data that is updated over time.
If the question assumes "if you want to use the default embedding model managed by Databricks", then B. vsc.create_delta_sync_index() might be a more appropriate answer.
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Soumak
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