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Data Validation

Overview​

The Data Validation document outlines the strategies, rules, and mechanisms used to ensure data quality and integrity throughout the Engineering AI Agent system. This document covers validation approaches for both input and stored data across various services.

Key Components​

  • Validation Rule Engine
  • Schema-based Validation
  • Custom Validators
  • Validation Pipelines
  • Error Handling
  • Reporting and Metrics

Detailed Design and Specifications​

This section will cover detailed specifications for data validation including rule definitions, validation workflows, error handling strategies, and integration with data processing components.