Manual Trigger

Qdrant Batch Upload: Crops Dataset from GCS for Anomaly Detection

Automate Qdrant batch uploads from GCS to accelerate anomaly detection workflows and unlock actionable agricultural insights with optimized vector data.

Manual Trigger
Complex Trigger

This n8n workflow is designed for the efficient batch upload of a 'crops dataset' into Qdrant, a high-performance vector database. It is manually triggered, initiating a process that retrieves the specified dataset, most likely from Google Cloud Storage (GCS) as indicated by the included services. The workflow's name suggests the data is destined for machine learning applications, specifically anomaly detection and KNN classification. With 25 nodes, it implies significant intermediate data processing, transformation, and filtering, potentially involving custom code, to prepare the raw crop data. This comprehensive preparation ensures the dataset is optimally structured and vectorized for indexing within Qdrant, making it ready for advanced analytical queries and machine learning model training related to agricultural insights.

25
Nodes
8
Services
3
Categories
Complex
Type

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📄 File Details

1728_Code_Filter_Import_Webhook.json
Code
09/04/2025
Ready to Import

Just upload and configure

🔧
Production Ready

Tested and optimized

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Documentation

Complete setup guide

Automate Qdrant batch uploads from GCS to accelerate anomaly detection workflows and unlock actionable agricultural insights with optimized vector data.

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Services & Integrations

Manual Trigger
Google Cloud Storage
Set
Http Request
Code
If
Sticky Note
Filter
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How to Use This Workflow

1

Download the Workflow

Click the "Download Workflow" button above to get the JSON file.

2

Import to n8n

In your n8n instance, go to Workflows → Import and select the JSON file.

3

Configure Credentials

Set up your Manual Trigger and other service credentials in n8n.

4

Activate & Test

Activate the workflow and test it to ensure everything works correctly.

Tags

#code
#manual-trigger
#google-cloud-storage
#set
#complex
#code
#development
#workflow-automation

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