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?
How Stardog Uses AI
Stardog was predicated on a long-term bet that data management and knowledge management were on a collision course, set out by Google, and that Knowledge Graph was the intersection point. From 2023’s perspective, it looks like our long-term bet was correct.
Recap of Knowledge Graph Conference 2023
It was wonderful to see our customers, long-time friends and new faces alike this week in NYC at the Knowledge Graph Conference (KGC).
LLM will Accelerate Knowledge Graph Adoption
We’re at the beginning of a revolution in machine-understandable semantics powered by Large Language Model breakthroughs. Stardog Voicebox, powered by LLMs, will fundamentally flatten the enterprise knowledge graph (EKG) implementation cost curve.
Explainable AI in Stardog
As data tools become increasingly complex, it is getting more difficult for human users to understand the results of their queries. It, correspondingly, is becoming more critical that intelligent systems can explain their own conclusions.
The Benefits of Learning
We’ve integrated machine learning in Stardog 5. And now you’ll learn the rest of the story.
Learning to Predict
We’re adding machine learning to Stardog to make your Knowledge Graph even smarter.
Simpler Graphs in Stardog 3
A reason many graph databases don’t offer reasoning is that it is difficult to engineer correctly. Most vendors simply don’t have the skill or expertise required to do it right.