Developer & DevOps

Anomaly Detection and Data Classification with Qdrant Integration

25 nodes 265 145 Automatic trigger
Download

Workflow Description

Advanced automation that ingests datasets from Google Cloud Storage, applies classification algorithms to detect anomalies, and uploads results to Qdrant for vector storage and semantic search. Processes data at scale with configurable filtering and error handling.

How it works

  1. 1.Load dataset from Google Cloud Storage or manual trigger
  2. 2.Apply classification algorithm to identify anomalous patterns
  3. 3.Transform results into vectors and upload to Qdrant database

Use cases

  • Detect fraudulent transactions in financial records
  • Identify unusual user behavior patterns in application logs
  • Analyze large datasets and store vectors for semantic similarity search

Requirements

  • Active Google Cloud Storage account with dataset access
  • Configured Qdrant instance with vector database setup
  • Understanding of classification algorithms and anomaly detection methods

Service Value

Ready-made workflow template for automation delivery and service execution.

Apps Used

Google Cloud Storage

Details

Trigger Automatic trigger
Nodes 25
Apps 1
Views 265
Downloads 145

How to Use

  1. 1.Click "Download Template"
  2. 2.Open your n8n dashboard
  3. 3.Go to Workflows > Import from File
  4. 4.Select downloaded file and configure credentials

Nodes Used (25)

/

When clicking ‘Test workflow’

Manual Trigger

#1

Google Cloud Storage

Google Cloud Storage

#2

Get fields for Qdrant

Set

#3

Qdrant cluster variables

Set

#4

Embed crop image

HTTP Request

#5

Create Qdrant Collection

HTTP Request

#6

Check Qdrant Collection Existence

HTTP Request

#7

Batches in the API's format

Set

#8

Batch Upload to Qdrant

HTTP Request

#9

Split in batches, generate uuids for Qdrant points

Code

#10

If collection exists

If

#11

Sticky Note

Sticky Note

#12

Payload index on crop_name

HTTP Request

#13

Sticky Note1

Sticky Note

#14

Sticky Note2

Sticky Note

#15

Sticky Note3

Sticky Note

#16

Sticky Note4

Sticky Note

#17

Sticky Note5

Sticky Note

#18

Sticky Note6

Sticky Note

#19

Sticky Note7

Sticky Note

#20

Sticky Note9

Sticky Note

#21

Sticky Note11

Sticky Note

#22

Filtering out tomato to test anomalies

Filter

#23

Sticky Note8

Sticky Note

#24

Sticky Note10

Sticky Note

#25

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