Existing graph-based retrieval-augmented generation (RAG) systems represent knowledge with binary relations and rely primarily on semantic similarity for retrieval. This design struggles with ...

Knowledge Management has promised to make it easier to find institutional knowledge for decades with mixed results.

This article is a copy of the article posted on June 1, 2026. Many consultations about wanting to build a knowledge graph are actually about wanting to see data connected by lines.I think the ...

Series: "Ontology in the Age of AI Agents," Part 12Recall the problem raised in Part 4: an AI that confidently answers with ...

Getting context right is crucial for success with enterprise AI, but no one’s 100% there yet. We catch up with the thinking ...

AI, natural language processing and semantic search applications are a driving force behind emerging data management operations. Data teams can use knowledge graphs in conjunction with these tools to ...

Even though it probably affects our lives every single day, most of us have no idea what a “knowledge graph” is. Asking your favorite voice assistant what the weather will be like tomorrow? That’s ...

There are many ways to define a knowledge graph. At its most basic, a knowledge graph is a large network that stores data on entities and on the relationships between these entities. These entities — ...

Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management.

You need to understand how to influence topics in the Knowledge Graph if you want to help Google understanding your content. Here's how to do it. Knowledge Graphs can help search engines like Google ...