Embeddings
Dense vector representations of text that capture semantic meaning, used for similarity search, clustering, and retrieval in AI systems.
Definition
Dense vector representations of text that capture semantic meaning, used for similarity search, clustering, and retrieval in AI systems.
Why It Matters for AI Governance
Embedding models process text that may contain personal data. While embeddings are not directly human-readable, they can potentially be reversed or used to identify individuals. Governance should treat embedding generation as a data processing activity.
How CrewCheck Handles This
CrewCheck's LLM gateway applies embeddings-related controls at the request boundary. Every AI call passes through detection, policy evaluation, and audit logging — ensuring that embeddings is addressed consistently across all teams and providers.
The governance dashboard provides real-time visibility into embeddings events, with drill-down capabilities for compliance officers and exportable evidence for auditors.