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.
Foundation Models Know Enough
There’s a truth that traditional ontology communities are reluctant to face: Large language models already contain world models. They’re not formally axiomatized. They’re not neat. They’re not hand-built by committees. But they work.
Tariff Chaos is a C-Suite Problem
Stardog’s Knowledge Graph-powered semantic layer gives the C-suite real-time, AI-powered visibility into supply chain exposure.
Knowledge Graphs are Critical to Trustworthy Enterprise AI
Knowledge graphs are essential for trustworthy enterprise AI. Learn how a federated knowledge layer solves data fragmentation, mitigates misinformation risks, and delivers hallucination-free AI.
Agents Need Democratized Data Too
Agentic AI needs democratized data access for the same reasons as people need it. Neither can succeed productively without it. Agents won’t act even semi-autonomously on our behalf until they can access data about the enterprises we both serve.
Enterprise AI Requires the Fusion of LLM and Knowledge Graph
The only way to win with AI in the enterprise is to have the right data strategy, and the key to data strategy for AI is to deploy a platform that offers the best of LLM and knowledge graph.
Solving Four LLM Design Problems
How Semantic Parsing (SP) addresses all four major LLM design problems.
Safety RAG: Improving AI Safety by Extending AI's Data Reach
Safety RAG (SRAG) is how we get to 100% hallucination-free answers.
How AI Uses Stardog
In our previous post we answered the question how Stardog uses AI by explaining our use of Hybrid AI with LLM to build, manage, and query knowledge graphs with ordinary language. The question today goes the other way around; how does AI use Stardog, that is, how does enterprise generative AI use an enterprise knowledge graph?
What if a Semantic Layer Isn’t Just for Generic Biz Metrics Any More?
The “metrics layer” is the oldest and foundational semantic layer use case. But there’s a new breed of semantic layer use cases that Stardog and its customers are pioneering.
Semantic Layers: Four Characteristics that Define the Valuable New Approach
The secret to data analytics success today is a democratized, self-service data platform, and that’s only possible when you leverage a semantic layer to shift from columns to concepts.
Create your Digital Twin with an Enterprise Knowledge Graph
To succeed with a digital twin strategy, you need a machine-understandable model of the business. That’s where an Enterprise Knowledge Graph platform like Stardog comes into play.
Manufacturing Knowledge
Manufacturing and supply chain use cases love Stardog’s Knowledge Graph platform. Let’s dive in!
Unifying Unstructured Data
Our mission is to unify all enterprise data in a single, coherent graph managed by Stardog, which includes, crucially at some organizations, unstructured data. Let’s preview upcoming Stardog features to make unstructured data unification much easier.