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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?
Designing LLM Applications with Knowledge Graphs and LangChain
Voicebox, our LLM-powered knowledge engineer, accelerates time to value by making it easier to build and query knowledge graphs, but we haven’t yet said much about how it works. In this blog I will explain the high-level design of Voicebox, including how we use LangChain.
Stardog Voicebox FAQ: How LLM, Generative AI, and Knowledge Graphs are the Future of Data Management
As you might have heard, Stardog is applying Large Language Models (LLMs) to enterprise knowledge graph technology. Here is a quick FAQ to get you up to speed.
Latest Posts
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.
Taming the Risk Hydra: Stardog and the Future of BCBS-239 Compliance
BCBS-239, issued by the Basel Committee on Banking Supervision, establishes principles for effective risk data aggregation and risk reporting (RDARR).
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.
Is your data ready for Gen AI? Five Data Adoption Trends in Financial Services Happening Now!
Better and easier access to data – without compromising security – remains a core focus as five broad trends in financial services emerge for 2025.
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.
Why generative AI projects fail in highly regulated industries — and how yours can succeed
How Financial Services can safely leverage GenAI to improve business.
Safety RAG: Improving AI Safety by Extending AI's Data Reach
Safety RAG (SRAG) is how we get to 100% hallucination-free answers.
Data and AI by Databricks Summit Wrap Up: Mission — Democratize Data and AI to the Next Level
The mission of the recent Data + AI Summit 2023 organized by Databricks was clearly democratizing data + AI. Stardog shares Databrics’ mission and believes the knowledge graph to be the intersection point between data management and knowledge management reducing barriers of entry for organizations building a data vocabulary and making data and insights more accessible.
Query Knowledge Graphs with Billions of Triples in Less Time Than It Takes to Read This Headline About Performance Benchmarks
Looking for proof of a faster way to derive insights from your data? Stardog recently refreshed its Starbench report, which contains a comprehensive set of performance metrics, including some benchmarking data in comparison with a commercial RDF graph database. Let’s explore the results.