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

When delegating tasks to AI, the biggest hurdle is often not the intelligence of the model, but rather "how to provide the necessary background information." For example, if you ask it to "summarize ...

Google announced the Open Knowledge Format (OKF), a new specification for representing organizational knowledge so it can be shared with AI agents, tools, and organizations. OKF uses markdown files, ...

Abstract: Knowledge graphs have become increasingly popular over the past years. The most popular data model for representing knowledge graphs is the Resource Description Framework (RDF). In an open ...

Abstract: Graph pattern queries (GPQ) over RDF graphs extend basic graph patterns to support variable-length paths (VLP), thereby enabling complex knowledge retrieval and navigation. Generally, ...

Markdown-LD Knowledge Bank is a .NET 10 library for turning Markdown knowledge-base files into an in-memory RDF graph that can be searched, queried with read-only SPARQL, validated with SHACL, ...

Obsidian Note Taking reshapes how information is captured, connected, and rediscovered by turning simple Markdown files into a dynamic, interconnected system. Instead of isolating notes in folders, ...

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To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated. MIT Technology Review Explains: Let our writers untangle the complex, messy ...