Conversational analytics in BigQuery
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Conversational analytics in BigQuery lets you chat with agents about
your data using natural language. To get answers about your data, you can do
the following:
Create data agents that automatically define data
context and query processing instructions for a set of knowledge sources,
such as tables, views, or user-defined functions (UDFs) that you select.
Create context and instructions for an agent in the form
of custom table and field metadata, instructions to the agent for interpreting
and querying the data, or by creating verified queries
(previously known as golden queries) to configure the data agent to
effectively answer questions for specific use cases.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-03-30 UTC."],[],[]]
