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

How it works

1. 1.Trigger the workflow manually and receive input data
2. 2.Fetch datasets from Google Cloud Storage buckets
3. 3.Apply classification and anomaly detection algorithms
4. 4.Filter and process results based on defined criteria
5. 5.Send processed data to Qdrant via HTTP request
6. 6.Log execution status and return results

Use cases

• Detect anomalies in application logs or performance metrics
• Automatically classify documents and files in cloud repositories
• Build continuous machine learning models on streaming data

Requirements

• Active Google Cloud account with Storage bucket access
• Configured and operational Qdrant server instance
• Knowledge of classification algorithms and data formats

Service Value

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