In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Create custom Google Cloud Firestore and Google Cloud Natural Language workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
Google Cloud Firestore is a flexible, scalable database for mobile, web, and server development from Firebase and Google Cloud. It keeps your data in-sync across client apps through real-time listeners and offers offline support for mobile and web
Google Cloud Firestore node docs + examples
Google Cloud Firestore credential docs
See Google Cloud Firestore integrations
With Google Cloud Natural Language you may do sentiment and syntactic analysis, extract entities from text, categorize text and more using the Cloud Natural Language API and unique machine learning models.
Google Cloud Natural Language node docs + examples
Google Cloud Natural Language credential docs
See Google Cloud Natural Language integrations
Can Google Cloud Firestore connect with Google Cloud Natural Language?
Can I use Google Cloud Firestore’s API with n8n?
Can I use Google Cloud Natural Language’s API with n8n?
Is n8n secure for integrating Google Cloud Firestore and Google Cloud Natural Language?
How to get started with Google Cloud Firestore and Google Cloud Natural Language integration in n8n.io?
Looking to integrate Google Cloud Firestore and Google Cloud Natural Language in your company?
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