Google BigQuery SQL Query Execution with AI
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Execute SQL queries on Google BigQuery using an AI agent.
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About This Workflow
Overview
This workflow demonstrates how to leverage an AI agent to generate and execute SQL queries against a Google BigQuery database. It's designed for users who need to interact with BigQuery data using natural language, with the AI handling the SQL generation and the workflow managing the execution and result retrieval.
Key Features
- AI-powered SQL query generation from natural language prompts.
- Secure execution of queries against Google BigQuery.
- Configurable AI agent with system messages for specific task definitions.
- Modular design allowing the BigQuery execution part to be reused as a tool.
- Clear separation of concerns between AI and database interaction.
How To Use
- Set up the AI Agent: Configure the
AI Control Tower Agentnode with your desired OpenAI model and a comprehensive system prompt. Ensure the system prompt includes the BigQuery table schema and specifies thebigquery_toolfor query execution. - Configure the BigQuery Tool Workflow: Create a separate workflow for the BigQuery execution. This workflow should contain the
Trigger Executed by the AI ToolandQuery Databasenodes. Configure theQuery Databasenode with your Google Cloud credentials and project ID. ThesqlQueryparameter should be dynamically set using={{ $json.query }}. - Link the Tool: In the main workflow, configure the
Call Query Toolnode. Set theworkflowIdto the ID of your BigQuery execution workflow and provide a cleardescriptionfor thebigquery_tool. - Trigger the Workflow: Interact with the workflow, typically through a chat interface or webhook, by providing natural language prompts for data retrieval.
Apps Used
Workflow JSON
{
"id": "3d02f7ef-e99b-4215-b23b-93d2f3b22824",
"name": "Google BigQuery SQL Query Execution with AI",
"nodes": 0,
"category": "Google BigQuery",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 3d02f7ef-e99b...
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