Teradata AgentStack FAQ
Get all your questions to AgentStack answered here. This is your go-to source on how to build, deploy, and govern enterprise‑grade AI agents quickly, safely, and at scale.
What is Teradata AgentStack?
What is Teradata AgentStack?
AgentStack is a Teradata product that enables customers to move from isolated pilots to production-grade agents by simplifying the entire agent lifecycle.
What pain points does AgentStack address?
What pain points does AgentStack address?
Most organizations remain stuck navigating the transition from agent experimentation to scaled deployment. The key challenge in realizing tangible value from AI agents is managing the complexity of the AI agent lifecycle.
What are the capabilities of AgentStack?
What are the capabilities of AgentStack?
- AgentBuilder: Enables building with no-code and pro-code tools
- Enterprise MCP: Curated set of tools, prompts, and resources designed to simplify and enhance interaction with Teradata Vantage®
- AgentEngine: A seamless way to run agents by providing memory and ensuring consistency, reliability, and enterprise readiness
- AgentOps: Provides capabilities to support the full lifecycle of intelligent agents
What differentiates Teradata’s approach?
What differentiates Teradata’s approach?
Teradata simplifies building, deploying, and monitoring enterprise agents by offering an integrated stack of key capabilities:
- Quickly build production-ready agents which leverage knowledge, contextual intelligence, and applying reasoning to deliver autonomous outcomes
- Enterprise-grade integration to facilitate interactions between agents and enterprise data and leverage scalable analytics
- Easily deploy, monitor, and manage agents with security and governance at scale across a hybrid landscape
- Highly scalable and cost-effective deployment of agents leveraging the Teradata AI + Knowledge Platform
Are there any specific requirements from the customer, or is deployment handled directly into their VCE? Are there any prerequisites (e.g., Vantage 3.x)?
Are there any specific requirements from the customer, or is deployment handled directly into their VCE? Are there any prerequisites (e.g., Vantage 3.x)?
Currently, the AgentStack installation is separate from Vantage.
There are no strict version restrictions. However, it’s recommended to use version 17.20 or later to take advantage of advanced MCP tools like vector store functionality.
How is AgentStack deployed?
How is AgentStack deployed?
Cloud deployments use Kubernetes, while on-premises setups are available through TMS. MCP will support RPM, Docker, and Kubernetes.
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