Build with Teradata

Technical resources

Build with Teradata

All the technical resources, tools, and examples you need to build and run apps, agents and AI on your data.

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Getting started

Follow step-by-step guides, tutorials, and sample workflows to quickly build with Teradata.

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Documentation

Find product documentation, release details, configuration guidance, and technical reference materials.

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Downloads

Find publicly available downloads from Teradata.

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University

Build your Teradata skills with on-demand courses, instructor-led training, accreditation programs, and learning resources.

Start learning

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Events

Join webinars, DevTalks, conferences, roadshows, and other events that Teradata technical experts attend.

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Support

Get help with product issues, support cases, troubleshooting, and account-specific questions through the Teradata Support Portal.

Get support

Agentic recipes

Build agents from working examples

Get started with ready-to-run AI agent examples built on Teradata. Pick a recipe, run the launcher, and have an agent working against your enterprise data in minutes.

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Learn patterns for NL-to-SQL, dbt metadata, MCP, vector search, governed access, and open analytics

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Run ready-to-use agent examples from one launcher

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Connect agent workflows to Teradata data and capabilities

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Adapt recipes into your own agentic applications

Explore the agentic recipe book

Use cases

Build AI apps on your data

Build agents, data products, and pipelines on a platform designed for scale, governance, and production.

Build and run AI agents

Create agents that answer questions, retrieve governed context, call tools, and take action across workflows.

Build agents that reason across enterprise data
Connect AI apps to Teradata capabilities
Apply governed context, permissions, and audit controls

Create trusted data products

Ingest, transform, and manage structured and unstructured data for analytics, AI, and retrieval workflows.

Ingest and transform source data
Enforce data quality and governance
Integrate unstructured data
Reuse data logic and pipelines
Manage access and policies

Train and deploy AI/ML models

Train, deploy, and monitor models using structured and unstructured data with in-database and open-source tools.

Train and evaluate models
Deploy models to production
Monitor, govern, and manage lifecycles

Ecosystem

Open, connected, and built for the way you work

Use familiar workflows

Build with the development tools, frameworks, and analytics engineering practices your team already knows.

Connect more context

Use Teradata Enterprise Vector Store and native Unstructured integration to bring structured and unstructured data into AI-ready applications and retrieval workflows.

View Knowledge Context