Batch upload dataset to Qdrant from Google Cloud Storage

• Upload image datasets for machine learning applications
• Create embeddings for images to enable similarity searches
• Manage and store large datasets efficiently in Qdrant
• Facilitate anomaly detection in agricultural datasets
• Implement KNN classification for image recognition tasks

Initiate the workflow with a manual trigger Check for existing Qdrant collections and create one if absent Retrieve image URLs from Google Cloud Storage Generate embeddings for images using the Voyage AI model Upload the processed data to Qdrant in batches

1. 1
   Import the workflow template into n8n
2. 2
   Connect your Google Cloud Storage and Qdrant accounts
3. 3
   Configure the Google Cloud Storage bucket name and prefix
4. 4
   Set up the Qdrant cluster variables including URL and collection name
5. 5
   Run the workflow to start the batch upload process