Spread the love“`html In a move that few anticipated, Google has unveiled a groundbreaking open standard for AI agents called the OKF AI standard. Launched in June 2026, this innovative framework has ...

According to Anthropic, scientists often spend a lot of time moving between research databases, coding tools, notebooks and ...

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

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Everpure's data primacy thesis is a bold architectural argument. Across four interviews at Accelerate, its executives made the case about what it actually means for buyers right now.

"The no-kill-switch kind of thing? It's increasingly becoming a requirement," says Neo4j CEO Emil Eifrem. This is one of the reasons behind the company's decision to buy GraphAware, an intelligence ...

Building retrieval-augmented generation (RAG) systems for AI agents often involves using multiple layers and technologies for structured data, vectors and graph information. In recent months it has ...

This repository is the home for the source materials, sample code and examples for the book "Practical Gremlin - An Apache TinkerPop Tutorial". This is also the home for the air-routes dataset ...

Not all databases are created equal. In this video, we explore seven major database paradigms, including relational, key-value, document, columnar, graph, time-series, and object-oriented. Learn what ...