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Powering Agentic AI with Knowledge Graphs

Agentic AI plans, decides, and takes action autonomously. But to function safely and accurately, autonomous AI agents need more than data: they need a deep understanding of your business. A Stardog Enterprise Knowledge Graph (EKG) provides that understanding.

First things first: What is Agentic AI?

Agentic AI is goal-oriented, unlike Generative AI. Agents, like those in self-driving cars, plan and execute complex tasks across different applications and systems—all without human intervention.

To do all that, Agents need to chain together people, products, processes, customers, and outside information like "Cargo Ship A is owned by Company B" or "Federal Regulation X applies to Product Y" and they have to do it all in real time.

Agentic AI has a data problem.

Large Language Models (LLMs) can generate and process language, but because they are trained on massive, public datasets, they don't understand the web of relationships between your specific business data. They lack the specific, grounded context of your enterprise data ecosystem. Relying on LLMs alone introduces serious risk of hallucinations, omitted data, or downright harmful actions.

Knowledge graphs are the appropriate target for exploiting LLMs for business value, since they are machine-readable data structures representing semantic knowledge of the physical and digital worlds.

Gartner

"Adopt a Data Semantics Approach to Drive Business Value," July 2023

Stardog Enterprise Knowledge Graphs solve Agentic AI's data problem

Without Stardog

Fragmented Enterprise Data

Enterprise data is spread across numerous databases, data lakes, spreadsheets, and legacy systems and multiple formats. AI Agents can be missing vital information or slow to respond to changing circumstances.

With Stardog

Connected, Structured Data

Stardog's EKG maps the relationships between every piece of enterprise data, wherever it resides. The EKG is a single, always-current source of truth. AI Agents can leverage this enterprise-wide view to reveal new insights that require a complete picture of the data.

Without Stardog

Lack of Accuracy

LLMs are prone to "hallucinations"—generating plausible but incorrect information. When an AI agent acts on this false information, the consequences can range from flawed reports to disastrous business decisions.

With Stardog

Grounded Context and Explainability

Research shows safe, explainable Agentic AI requires grounding LLMs within a deep understanding of the business. Stardog's EKG explicitly defines relationships and business logic, so Agents can demonstrate why and how they make decisions—supported by a rich audit trail back to the source and full explainability.

Without Stardog

Data Without Context

Without up-to-the-second information about the relationships between customers and products, internal hierarchies, or supply chain dependencies, an agent's actions can be misguided or even cost the business. With context, Agents can understand even each other.

With Stardog

Real-Time and Adaptive Intelligence

Stardog's EKG dynamically integrates massive data streams, providing continuous, real-time updates as changes happen. This means Agents are always working from the latest information.

LLMs + Knowledge Graphs: Enabling Trustworthy AI Agents

Explore why AI agents, like their human counterparts, need access to consistent, timely, and contextualized internal data.

How Stardog Powers Agentic AI

A Stardog EKG connects, contextualizes, and governs enterprise data. That data can then be integrated with LLMs to provide the basis for AI Agents. It is the only way to ensure safe, reliable AI automation and insights.

We power GenAI with a Knowledge Graph.

Trustworthy AI in the most demanding industries requires accurate, grounded, and explainable actions. Stardog makes this possible by providing a trusted, contextualized knowledge graph that acts as a single source of truth for your AI agents. This shared context is especially vital for agentic systems, giving them a common language to access all of your organization's data. As a result, your LLM-powered agents can make better, more reliable decisions, uniting the versatility of LLMs with trusted, structured enterprise data.

We use a semantic layer for understanding.

The semantic layer defines meaning and relationship. AI Agents can then reason based on those relationships and understand enterprise-specific ideas like teams, policies, and systems. Enterprise teams can move beyond basic data connectivity to actionable understanding.

We enable federated data access.

Stardog's EKG is a virtualized representation of your data. Data is not moved or copied. The Knowledge Graph allows Agentic AI to scale across the enterprise, providing unified, real-time access across cloud, on-prem, or legacy systems through our API and Model Context Protocol (MCP) capabilities, all while leaving data in its original location.

We offer enterprise-grade trust, security and governance.

Leaders in finance, healthcare, manufacturing, and more trust Stardog. Our platform leverages your existing data investments without adding overhead or creating copies. Built on open W3C standards, Stardog provides the data lineage and traceability needed for audit and compliance. With Governance controls, organizations can now control what information agents can access, and how it is used.

We power Agentic AI.

Stardog Voicebox is the first EKG + LLM-powered AI data assistant, that provides fast, accurate, hallucination-free answers to solve enterprise problems. Gain up to 95% efficiency and get to ROI faster.

Try it out for free

Built for Everyone

Enterprise Data Leaders and Analysts

Gain confidence and control. Unify fragmented data, modernize analytics infrastructure, and accelerate digital transformation. Invest in a scalable, future-ready platform for trusted AI.

IT Leaders and Technical Practitioners

Gain fast, collaborative development and simplify data reasoning for AI. Stardog is flexible and interoperable, with broad standards support (SPARQL, GraphQL), robust APIs, and seamless integration across data environments,

Executive and Business Stakeholders

Out-automate the competition. From smarter risk management to improved operational visibility, trusted, explainable AI tackles industry-specific challenges and regulatory requirements.

Business Impact

Faster, More Informed Decision Making

Get the full context—and confidence—to act immediately. Stardog-powered agents synthesize information from across your business in seconds.

Safer Automation

Automate even complex, mission-critical tasks safely and reliably. Stardog's Knowledge Graph guarantees Agents actions and recommendations align with your unique business rules and reality.

Greater ROI

Reduce operational costs, streamline workflows, and accelerate innovation. Stardog directly boosts the return on your AI and data investments to give you an edge in a rapidly evolving landscape.

Learn more

Blog
What LLMs Don't Know

Your enterprise AI agents are failing. Not because they can't think, but because they can't access what matters most.

Read
Blog
Knowledge Graphs are Critical to Trustworthy Enterprise AI

While big models impress in demos, enterprises need a reliable layer of meaning and context to ensure LLM answers are grounded in verified data.

Read
Blog
Agents Need Democratized Data Too

The ironclad law of AI and data is unbreakable—without good data, you get bad AI—for agents no less than for people. So let's talk about the ways an enterprise knowledge graph serves the data needs of LLM-based agents

Read

Expect more from your Agentic AI and get to ROI faster.

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