BigQuery chat with graphs and pipeline metadata enrichment are generally available

Chatting with graphs in conversational analytics is now generally available. You can use a combination of multiple graphs, tables, views, and UDFs as data sources.

BigQuery pipelines provides support for automated metadata enrichment and Knowledge Catalog data quality scorecard integration. In addition, the Data Engineering Agent can proactively generate semantic metadata for your pipeline assets. For more information, see Metadata enrichment and data quality scorecard integration. These features are generally available.