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> This extension is currently in beta (pre-v1.0), and may see breaking changes until the first stable release (v1.0).
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> Currently in beta (pre-v1.0), and may see breaking changes until the first stable release (v1.0).
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Developers can effortlessly connect, interact, and generate data insights with [BigQuery](https://cloud.google.com/bigquery/docs) datasets and data using natural language commands.
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## Getting Started
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<details>
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<summary><b>Gemini CLI</b></summary>
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To install the extension for Gemini CLI, use the command:
You will be prompted to configure the following settings during installation. These settings are saved in an `.env` file within the extension's directory.
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Please keep these env vars handy during the installation process:
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*`BIGQUERY_PROJECT`: The GCP project ID.
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*`BIGQUERY_LOCATION`: (Optional) The dataset location.
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*`BIGQUERY_MAX_QUERY_RESULT_ROWS`: (Optional) Maximum number of query result rows (default: 50).
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*`BIGQUERY_IMPERSONATE_SERVICE_ACCOUNT`: (Optional) Service account to impersonate.
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To view or update your configuration:
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> [!NOTE]
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>
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> - Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment.
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### Installation & Usage
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To start interacting with your database, install the skills for your preferred AI agent, then launch the agent and use natural language to ask questions or perform tasks.
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**List Settings:**
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* Terminal: `gemini extensions list`
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* Gemini CLI: `/extensions list`
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For the latest version, check the [releases page][releases].
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