These third-party projects greatly expand the ways agents and LLMs can draw on facts, documents, and conversations to deliver ...

FrameworX 10.1.5 delivers complete AI integration across engineering and operations, an industrial ontology layer with live Knowledge Graph, and a local AI service that runs entirely behind the ...

According to the latest analysis by Future Market Insights, the AI-Ready Enterprise Knowledge Graph Market is poised for ...

AWS is introducing AWS Context, a new service that automatically maps the relationships across existing data into a knowledge graph and provides agentic search so AI agents in the organization can ...

Why every eCommerce platform needs a knowledge graph: better search, smarter recommendations, and AI-powered enterprise ...

GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search optimization. Making your brand machine-readable and increasing its chances of being ...

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

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...

FlureeDB acts as a secure context layer fit for autonomous systems: pull from many data sources wherever they live, answer structured queries ...

Abstract: Multimodal knowledge graphs are typically represented as heterogeneous graphs, serving as crucial structures for depicting data that integrates various modalities, such as text, images, and ...

Most schema audits evaluate pages in isolation. The real gap is relationship integrity, and that's what AI systems need to synthesize, recommend, and act. A recent announcement from Common Crawl ...

Combining Neo4j with Claude, MCP, and network monitoring has given the truck giant real-time visibility into how its systems, data, and processes interconnect A graph-based representation of ...