Turn your data and semantics into knowledge for AI agents with Tableau Knowledge
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Tableau Knowledge
Data is valuable, but knowledge is power. Give AI agents the trusted, governed knowledge they need to reason with confidence and deliver accurate insights to scale trustworthy agentic analytics across your business.
Unify your data and semantics into knowledge graphs for AI agents
You've built dashboards, workbooks, and data sources in Tableau, along with institutional knowledge across your business. The challenge? They’re disconnected from the agents that need them.
Tableau Knowledge closes that gap by unifying your data and semantics into knowledge graphs, networks of data assets linked by relationships. You can inspect, curate, and optimize each graph to create a living model of how your business works. Instead of guessing, agents can access the trusted, governed knowledge needed to reason intuitively and deliver accurate insights.
Unify all your business knowledge in one place
Centralize published data sources, workbooks, dashboards, catalog, and unstructured knowledge, like PDFs and wikis, in a single location to activate years of analytical investments for your AI agents.
Build and optimize knowledge graphs for AI agents
Auto-generate knowledge graphs — living models of your organization that link your data and semantics by relationship. Then view and enrich them, so AI agents can efficiently retrieve trusted knowledge.
Manage knowledge graphs easily with the native Tableau Agent
Simplify graph management with Tableau Agent built into Tableau Knowledge. Improve how you track graph health, make revisions, and navigate relationships, so AI agents reason with governed knowledge only.
Power AI agents with governed knowledge
Connect Tableau Agent in dashboards or any MCP-enabled agent directly to Tableau Knowledge, so they can access trusted knowledge to reason intuitively, deliver accurate insights, and act with confidence.
Webinar
Power AI Agents That Understand Your Business with Tableau Knowledge
Learn how you can turn your data and semantics into knowledge for AI agents so they can reason intuitively and deliver accurate insights.
Blog
How Tableau Approaches Agentic AI Differently with Trusted Knowledge
Trusted Knowledge is what separates AI that simply looks good from AI that gets results. Tableau's comprehensive approach to agentic analytics is built to deliver both.
On-demand webinar
The Difference Is in the Knowledge: How Tableau Delivers Trusted Conversational Analytics
See how Tableau’s knowledge engine governs every agent response to enable trusted conversational analytics in Tableau Agent, Slackbot, and any AI agent via MCP.
Tableau Knowledge FAQ
Semantics is the business language of your data already defined in Tableau (published data sources, workbooks, catalog, etc.) as well as outside of Tableau.
Knowledge is the broader system that connects your semantics, structured data, and unstructured data, such as documents, PDFs, and wikis, by relationship to tell the complete story of how your business works.
Knowledge graphs connect your structured and unstructured data and semantics by how they relate in your business. So instead of guessing or querying every possible source, agents can efficiently retrieve precise knowledge the way someone familiar with your business would.
MCP, or Model Context Protocol, is an open standard that lets AI agents access external context and tools. Tableau Knowledge is MCP-ready, so any MCP-enabled agent can connect directly to it to retrieve trusted, governed knowledge.