Abstract visualization of data infrastructure and layered data processing
insights Knowledge context

Self-improving enterprise knowledge without context collapse

The knowledge capability serves as the essential context layer for agentic systems, converting diverse data into AI-ready information with semantic meaning, relationships, guardrails, and lineage so agents can reason accurately and avoid hallucinations or repeated mistakes. With multiple text and object extraction techniques, plus smart chunking, Teradata surfaces what matters for agents in one data engineering environment.

Key capabilities
Diagram of AI agent connected to multiple nodes in a network
Centralize autonomous knowledge

Agent success depends on better context

Agent sprawl results in context silos, which harms outcomes. Centralizing how context is created, curated, and leveraged by agents enables AI engineers to realize compounding knowledge in their agentic systems.

Teradata’s knowledge capability provides the centralized, secure environment for the continuous improvement of autonomous knowledge.

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