Connect Google Cloud Firestore and Google Gemini AI integrations
Connect Google Cloud Firestore and Google Gemini AI with any of your favorite apps in just a few clicks. Design, build, and automate anything for your work by integrating apps like Google Cloud Firestore and Google Gemini AI to create visual automated workflows. Choose from thousands of ready-made apps or use our no-code toolkit to connect to apps not yet in our library.
Triggers when a new document is created in a specific collection.
Triggers when a new document is created with specific criteria across multiple collections and their descendants.
Creates a completion for the provided prompt or chat.
Creates an image.
Creates a video.
Performs an arbitrary authorized API call.
Uploads a file so it can be used in the completions.
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Build your Google Cloud Firestore and Google Gemini AI integrations.
Create custom Google Cloud Firestore and Google Gemini AI workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.
Backups documents from Firestore to Google Cloud Storage.
Creates a completion for the provided prompt or chat.
Creates a new document.
Creates a video.
Creates an image.
Deletes a single document.
Gets multiple documents across different collections.
Gets a single document.
Lists all the collection IDs underneath a document.
Popular Google Cloud Firestore and Google Gemini AI workflows.
Looking to get more out of Google Cloud Firestore and Google Gemini AI? With Make you can visually integrate Google Cloud Firestore and Google Gemini AI into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.
Uploading Fliki videos to YouTube
This Make.com scenario automates the end-to-end process of uploading Fliki-generated videos to YouTube. When a video render is completed in Fliki, the scenario triggers automatically. It then uses Google Gemini AI to generate a compelling, SEO-friendly video title based on the content. After that, it downloads the MP4 video file via an HTTP module, converting the URL into a binary buffer format suitable for YouTube. Finally, the video is uploaded directly to your YouTube channel, complete with the AI-generated title. This setup is ideal for content creators, marketers, educators, and businesses looking to scale content publishing without manual uploading. Save time, maintain consistency, and streamline your content workflow by integrating text-to-video AI tools with your YouTube channel. Set it once, and let your videos go live as soon as they’re ready.
TRY IT ->Insert data into PostgreSQL and create documents in Google Cloud Firestore from Browse AI tasks
Use this automation to insert data into PostgreSQL and create Google Cloud Firestore documents from Browse AI tasks, streamlining data management across platforms.
TRY IT ->Extract and store new articles from RSS feeds to Google Cloud Firestore
Automatically extract new articles from RSS feeds, convert HTML to text, and store them in Google Cloud Firestore for easy access and management.
TRY IT ->Create a Firestore document from a custom webhook trigger
Trigger a custom webhook to automatically create a new document in Google Cloud Firestore, streamlining data integration and storage for your applications.
TRY IT ->Create a new Firestore document for every new article from RSS feed
Automatically create a new Firestore document for each new article from your RSS feed using Make's integration with Google Cloud Firestore.
TRY IT ->Import a JSON array to Firestore
This template shows how to import a JSON array of objects into a Firestore collection. The scenario can be setup to run periodically (every hour, day, week, or month).
TRY IT ->Analyze new GCS objects with Google Natural Language and save the results in Firestore
Every time an object is created in a specified Google Cloud Storage bucket, Make will automatically analyze its content (sentiment analysis). Then, the results are saved in your Firestore database.
TRY IT ->Export a Firestore collection to CSV
This Template shows how to export a collection of Firestore documents to a CSV file. Make will automatically aggregate each document fields and save them in a CSV file. Then, the file is uploaded to Google Drive. ⚠️ The template requires a two-step setup: after executing the scenario once, please come back to the CSV module to finalize the fields mapping.
TRY IT ->Export Firestore documents to Google Sheets
This Template helps you export a collection of Firestore documents to Google Sheets. Make will automatically save all document field values in a new spreadsheet row. This scenario uses [this example spreadsheet](https://docs.google.com/spreadsheets/d/1dqne2-XTefy6Z1GiEbFVaiGhN_V74qcFuTDrY5Kty3k/edit?usp=sharing). Prerequisite: This template can't save fields of Array, Map or Geo type.
TRY IT ->
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