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shirleycohen authored Aug 30, 2023
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## Query Cookbook Workflow

This folder contains a workflow that produces metadata tags in Data Catalog which contain access patterns for data assets in BigQuery. The workflow calls the ML.GENERATE_TEXT function in BigQuery, which uses the Vertex AI text-bison large language model (LLM) for inferences. More details on the ML.GENERATE_TEXT function are available in the [product documentation](https://cloud.google.com/bigquery/docs/generate-text).
This folder contains a workflow computes access patterns for data assets in BigQuery and produces metadata tags in Data Catalog with the results. The workflow calls the `ML.GENERATE_TEXT` function in BigQuery, which uses the Vertex AI text-bison large language model (LLM) for inferences. More details on `ML.GENERATE_TEXT` are available in the [product documentation](https://cloud.google.com/bigquery/docs/generate-text).

For each table or view in BigQuery, the Query Cookbook workflow computes a metadata tag with these fields:
1) `top_users`: Most active users who have queried this data asset
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