How to connect Google Cloud BigQuery and OpenAI ChatGPT
Create a New Scenario to Connect Google Cloud BigQuery and OpenAI ChatGPT
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Cloud BigQuery, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud BigQuery or OpenAI ChatGPT will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or OpenAI ChatGPT, and select the appropriate trigger to start the scenario.

Add the Google Cloud BigQuery Node
Select the Google Cloud BigQuery node from the app selection panel on the right.

Google Cloud BigQuery
Configure the Google Cloud BigQuery
Click on the Google Cloud BigQuery node to configure it. You can modify the Google Cloud BigQuery URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the OpenAI ChatGPT Node
Next, click the plus (+) icon on the Google Cloud BigQuery node, select OpenAI ChatGPT from the list of available apps, and choose the action you need from the list of nodes within OpenAI ChatGPT.

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Authenticate OpenAI ChatGPT
Now, click the OpenAI ChatGPT node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI ChatGPT settings. Authentication allows you to use OpenAI ChatGPT through Latenode.
Configure the Google Cloud BigQuery and OpenAI ChatGPT Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Cloud BigQuery and OpenAI ChatGPT Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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AI Anthropic Claude 3
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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud BigQuery, OpenAI ChatGPT, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google Cloud BigQuery and OpenAI ChatGPT integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and OpenAI ChatGPT (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud BigQuery and OpenAI ChatGPT
Google Sheets + OpenAI ChatGPT + Slack: When a new row is added to a Google Sheet, its content is sent to ChatGPT for summarization. The summary is then posted to a designated Slack channel.
OpenAI ChatGPT + Google Sheets + Google Sheets: A prompt is sent to ChatGPT to generate data. The generated data is added as a new row into a Google Sheet.
Google Cloud BigQuery and OpenAI ChatGPT integration alternatives
About Google Cloud BigQuery
Use Google Cloud BigQuery in Latenode to automate data warehousing tasks. Query, analyze, and transform huge datasets as part of your workflows. Schedule data imports, trigger reports, or feed insights into other apps. Automate complex analysis without code and scale your insights with Latenode’s flexible, pay-as-you-go platform.
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About OpenAI ChatGPT
Integrate ChatGPT into Latenode for automated content generation, sentiment analysis, and smart replies. Create workflows that analyze text, classify data, and personalize customer interactions. Combine AI power with Latenode's flexibility: orchestrate complex processes, manage data flow, and connect to any app via API—all without code.
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See how Latenode works
FAQ Google Cloud BigQuery and OpenAI ChatGPT
How can I connect my Google Cloud BigQuery account to OpenAI ChatGPT using Latenode?
To connect your Google Cloud BigQuery account to OpenAI ChatGPT on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery and click on "Connect".
- Authenticate your Google Cloud BigQuery and OpenAI ChatGPT accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze customer sentiment from BigQuery data using ChatGPT?
Yes, you can! Latenode lets you send BigQuery data to ChatGPT for sentiment analysis, then save the results back to BigQuery. This provides instant actionable insights at scale.
What types of tasks can I perform by integrating Google Cloud BigQuery with OpenAI ChatGPT?
Integrating Google Cloud BigQuery with OpenAI ChatGPT allows you to perform various tasks, including:
- Summarizing large datasets from Google Cloud BigQuery using OpenAI's language models.
- Generating marketing copy based on data insights extracted from Google Cloud BigQuery.
- Classifying and tagging customer feedback stored in Google Cloud BigQuery using AI.
- Automating report creation with charts and natural language summaries from BigQuery data.
- Improving data quality by using OpenAI ChatGPT to identify and correct inconsistencies.
What BigQuery data formats are supported within Latenode workflows?
Latenode supports standard BigQuery data formats like JSON, CSV, and Avro, ensuring seamless data transfer and compatibility within your workflows.
Are there any limitations to the Google Cloud BigQuery and OpenAI ChatGPT integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits from both Google Cloud BigQuery and OpenAI ChatGPT APIs may impact high-volume workflows.
- Complex data transformations might require custom JavaScript code for optimal processing.
- The size of data sent to OpenAI ChatGPT in a single request is subject to token limits.