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?
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.
Knowledge Graphs and Machine Learning
Knowledge graphs make it easier to feed better and richer data into ML algorithms. The inherent traits of knowledge graphs posit them as a top tool of modern AI and ML strategy. Let’s examine a few ways in which they help.
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.
Use Python with Stardog
Python has become very popular for data science applications. It is now possible to access your Stardog Knowledge Graph using Python and our wrapper library called pystardog. Keep reading to see how easy it can be.
Similarity Search
Learn how to find similar items in the Knowledge Graph with machine learning.