Diagnoses semantic collapse and optimizes RAG architectures using hierarchical taxonomies and Graph-RAG schemas.
RAG Semantic Auditor is a specialized diagnostic tool designed to prevent performance degradation in Retrieval-Augmented Generation systems. It identifies 'semantic collapse'—the point where vector search precision fails due to high dimensionality or volume—and provides a three-step remediation path. The skill generates a brutalist risk assessment report, a structured 3-level hierarchical indexing strategy to reduce search space, and a deterministic Graph-RAG schema to transition from simple vector similarity to sophisticated relationship-based retrieval, specifically optimized for PT-BR deployments.
