Anomaly Detection Model and Data Processing Service

Develop a consumer for the `quantum_telemetry` Kafka topic. This service should preprocess the incoming data, storing relevant metrics in a PostgreSQL database with `pgvector` enabled for potential future semantic search of patterns. Implement an anomaly detection model (e.g., using Isolation Forest or an autoencoder) trained on nominal data. This model should identify significant deviations from expected quantum link performance metrics.