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Batch Upload Crop Images to Qdrant with Embeddings
LibraryAI & Content Generation7.0

Batch Upload Crop Images to Qdrant with Embeddings

An n8n workflow that imports crop images from Google Cloud Storage, creates embeddings using Voyage AI API, and batch uploads them to a Qdrant Cloud collection. It includes collection management, filtering for anomaly detection, and payload indexing for efficient queries.

▮▮▯Intermediate15 min10 nodes
$9.00
Instant access
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Wise emailvirginaiagency@gmail.com
Amount$9.00 USD
Referencevai-lib-batch-
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✦ Built with
Qdrantn8nGoogle Cloud
✦ Workflow at a glance
✦ What you get

In thebox.

  • workflow.json
    Ready-to-import n8n workflow file
  • Setup guide
    Step-by-step deployment instructions
  • Node documentation
    What each node does + how to tune it
  • Sample data
    Test inputs to verify it works end-to-end
  • Community support
    Best-effort via Telegram / GitHub
  • Lifetime updates
    New versions delivered free, forever
✦ Setup

Live inthree steps.

01
Import
Open n8n → Workflows → New from JSON. Drop in the workflow.json you received.
02
Connect
Add credentials for each tool used (OpenAI key, Slack token, etc.). All shown in the setup guide.
03
Test & activate
Run on sample data to verify the flow. Toggle the workflow to active and you're shipping.
✦ Stack · 3 tools

The fullintegration map.

Database
1
Qdrant
Automation
1
n8n
Google
1
Google Cloud
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✦ Ready when you are

Deploy Batch Upload Crop Images

Free to license through our library tier. Custom builds in 1–3 days.