[1/3 - Anomaly detection] [1/2 - Classification algorithm classification] Upload the dataset to Qdrant (set...

How it works

1. 1.Trigger workflow manually and retrieve dataset from Google Cloud Storage
2. 2.Process data and apply classification algorithm to categorize records
3. 3.Execute anomaly detection model on classified dataset
4. 4.Filter results based on defined criteria using conditional logic
5. 5.Send processed data to Qdrant via HTTP request
6. 6.Log detected anomalies and classification outcomes

Use cases

• Identify suspicious transactions and anomalous user behavior in financial systems
• Automatically classify and organize large datasets for improved retrieval and analytics
• Monitor data quality and ensure compliance across big data infrastructure

Requirements

• Active Google Cloud Storage account with full access permissions
• Configured Qdrant instance ready for vector ingestion and similarity search

Service Value

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