How to update Vertex AI Datastore as documents inserted in Cloud storage bucket

Hi

I want to update the datastore automatically when I am inserting documents in cloud storage bucket, so that my chatbot answers from those documents. How to do this.

While creating datastore , I dont see the option to synchronize with cloud storage bucket.

Hi @shital1 ,

Welcome to Google Cloud Community!

You can automatically update your datastore when new documents are added to your Cloud Storage bucket. This is usually accomplished by combining Cloud Run Functions and Cloud Storage triggers.

Here’s a breakdown of how you can do it:

1. Set up a Cloud storage trigger:

  • Create a Cloud Function: In the Google Cloud Console, navigate to Cloud Functions and create a new function.
  • Trigger Type: Select “Cloud Storage” as the trigger type.
  • Event Type: Choose “Finalization” (this means the function will be triggered when a file is successfully uploaded to your bucket)
  • Bucket Name: Specify the name of your Cloud Storage bucket.
  • Function Name: Give your Cloud Function a descriptive name.

2. Write the Function Code:

  • Import Libraries: Include libraries for Cloud Functions, Cloud Storage, and Datastore.
  • Read the File: Use gsutil to read the file from your bucket.
  • Extract Data: Process the file to get the data you need.
  • Store in Datastore: Use Datastore to save the extracted information.
  • Handle Errors: Add error handling to prevent issues.

3. Deploy the Function: Use the Google Cloud Console to deploy it.

4. Test It: Upload a new file to your bucket and check if the data appears in Datastore.

Important Considerations:

  • Datastore Alternatives: If you prefer a more scalable and flexible database option, consider using Cloud Firestore instead of Datastore.
  • File Format: You’ll need to adapt the file processing logic based on your specific file type. (e.g., JSON or CSV).
  • Scalability: To efficiently manage a large number of files, optimize your Cloud Function for better performance and scalability. One effective approach is to utilize background tasks for efficient processing.

I hope the above information is helpful.