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

This situation is occurring in many companies. The data department has organized internal personnel information, organizational structures, business partner relationships, and product lineups as a ...

As I follow IT trends, I have been seeing the name of a tool called "codebase-memory-mcp" more and more often. It is an MCP server used in combination with AI coding agents like Claude Code and Cursor ...

Sudhir Hasbe, Neo4j's President and Chief Product Officer, on the strategic shift behind the GraphAware deal, what "open ...

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

They say a lot can happen in a week in politics. So imagine how much can change in a year within the world of AI! Even 12 months ago, Gen AI still wasn’t mainstream worldwide. But by the end of 2025, ...

Explore Microsoft Dynamics 365. Discover key features, pricing details, pros and cons, and how it compares with top CRM competitors. If you can only read one tech story a day, this is it. We use ...

Abstract: The paper describes an approach that combines work from three fields with previously separate research commu-nities: social robotics, conversational AI, and graph databases. The aim is to ...

The Green Standard Editing Protocol for Internet Publishing. It's June 2026, and the hackathon landscape has quietly become one of the most interesting places to be if you're building at the ...

Agentic knowledge retrieval redefined with an AI agent system that combines traditional RAG (vector search) with knowledge graph capabilities to analyze and provide insights about big tech companies ...