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Orchestrate AI workflows using AI: Mistral and Google AI in Latenode's visual editor, blending no-code ease with custom JavaScript logic. Build sophisticated AI solutions and scale affordably, paying only for execution time.
Connect AI: Mistral and Google AI in minutes with Latenode.
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In the workspace, click the βCreate New Scenarioβ button.

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

Select the AI: Mistral node from the app selection panel on the right.

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

AI: Mistral
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Google AI
Now, click the Google AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google AI settings. Authentication allows you to use Google AI through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
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Google AI
Trigger on Webhook
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AI: Mistral
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Iterator
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Webhook response
After configuring AI: Mistral, Google AI, and any additional nodes, donβt 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.
Run the scenario by clicking βRun onceβ and triggering an event to check if the AI: Mistral and Google AI integration works as expected. Depending on your setup, data should flow between AI: Mistral and Google AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
AI: Mistral + Google AI + Slack: Send a message to both Mistral and Google AI's Gemini model. Compare the outputs and send the response from Gemini to a Slack channel for team review.
Google AI + AI: Mistral + Google Sheets: Send identical prompts to Google AI's Gemini model and Mistral. Log both responses and variations between the responses in a Google Sheet for analysis.
About AI: Mistral
Use AI: Mistral in Latenode to automate content creation, text summarization, and data extraction tasks. Connect it to your workflows for automated email generation or customer support ticket analysis. Build custom logic and scale complex text-based processes without code, paying only for execution time.
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About Google AI
Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.
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How can I connect my AI: Mistral account to Google AI using Latenode?
To connect your AI: Mistral account to Google AI on Latenode, follow these steps:
Can I compare AI: Mistral's and Google AI's responses?
Yes, you can directly compare AI: Mistral and Google AI responses using Latenode. This allows you to easily evaluate and select the best model output for your specific application.
What types of tasks can I perform by integrating AI: Mistral with Google AI?
Integrating AI: Mistral with Google AI allows you to perform various tasks, including:
Can I use custom JavaScript code to transform data for AI: Mistral?
Yes, Latenode allows you to use custom JavaScript code within your workflows to transform data before sending it to AI: Mistral for advanced pre-processing.
Are there any limitations to the AI: Mistral and Google AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: