Analyze documents in BigQuery with Document AI

Learn more in the documentation → goo.gle/bqml-docai
Read the blog → goo.gle/bqml-docai-blog
Turn your documents into actionable data! This video explores the power of BigQuery's integration with Document AI. Learn how to transform unstructured documents - think invoices, contracts, forms - into neatly structured tables within your data warehouse, unlocking smarter insights using familiar SQL syntax.
In this video, you'll learn to connect BigQuery with unstructured documents in Cloud Storage. You'll see how Document AI's advanced processors extract important data and bring it into BigQuery for analysis. See a real-world example as we parse e-commerce invoices and gain insights into customer orders.
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[@SuriErninty]

I can't seem to add the privileges mentioned in this video to the SvcAccount.

[@newsverse-ir6rc]

Document AI is a Google Cloud service that can parse all sorts of document types and pull out the key info you're after.

[@abubakrabdalla9430]

i'm facing this error
Invalid table-valued function ML.GENERATE_EMBEDDING ML.GENERATE_EMBEDDING expects the 2nd argument to contain a column named content of type STRING. at [3:8]

[@andaiai]

you first have to generate embedding and paste it in column and that column should be of type float 64 repeatable only then it will work