Our latest insights

Patterns in GraphRAG and delving into the capabilities of Data Graphs AI and its architecture.

We have some pretty exciting news! We have filed an international patent on our new graph database query algorithm. We have also done some further benchmarking tests, and the results are pretty astounding.

We benchmarked Data Graphs and it’s fast. Really fast. In fact 110x faster than Neo4j on average, but that’s not the whole story. It gets better.

This week I have been on work experience at Data Language. I've learned how to design and launch a Knowledge Graph using Data Graphs, and then build a Web App on the APIs

How do you start designing a knowledge graph model? What are the first steps? In this post we will talk through the options when designing a knowledge graph and show how there no one single approach.

What role can domain-driven design play in the development of knowledge graphs? How development of skills around conceptual modeling could be the most useful for information professionals.

As demonstrated at KGC 2024, here is a step-by-step guide for creating the new IPTC Sport Schema in Data Graphs, in minutes, with the API ready immediately.

From 7th-10th August, we joined Kings College London Informatics Department in their 2023 Knowledge Prompting Hackathon using LLMs and Knowledge Graphs. Here are some early insights.

Building robust apps and business systems on graph databases has proven really hard, but it does not need to be. This is why.

Large Language Models are not displacing advanced specialist models (yet) .

Our reflections and insights on the themes from KGC2023, including combining LLMs and Knowledge Graphs, and why we are entering a golden age for knowledge graphs.

A look at the cost-benefit equation of Enterprise SaaS Data Platforms and why they should be a mainstream procurement choice.