As AI systems evolve from assistants into autonomous collaborators, enterprises will need durable memory, explicit semantics, lineage, governance, and explainability. AllegroGraph and GraphTalker ...

Understand the building blocks of knowledge graphs – entities, relationships and attributes – and how they relate to information retrieval. Knowledge graphs are reshaping how we organize and make ...

AWS Context is a self-learning knowledge graph for enterprise data — it propagates agent-discovered relationships automatically, with no manual re-curation needed.

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

While Large Language Models (LLMs) like LLama 2 have shown remarkable prowess in understanding and generating text, they have a critical limitation: They can only answer questions based on single ...

GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search ...

Knowledge graphs are hyped. We can officially say this now, since Gartner included knowledge graphs in the 2018 hype cycle for emerging technologies. Though we did not have to wait for Gartner -- ...

Earlier this year, Google began offering much more detailed answers in the top Knowledge Graph box. Shortly after that was introduced, Google also began expanding those answers into a bulleted list ...