Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...
Google Cloud Summit came to London last week, and we took the opportunity to sit down with database execs Sailesh ...
General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document ...
The funding round was led by Norwest, with participation S Capital VC, Cerca Partners, and Oceans Ventures. Snowflake Ventures also participated as a strategic investor.
BENGALURU, IN / ACCESS Newswire / July 3, 2026 / Reo.Dev, the world's only intent platform purpose-built for DevTools companies, today announced a major milestone with its Developer Knowledge Graph ...
Sudhir Hasbe, Neo4j's President and Chief Product Officer, on the strategic shift behind the GraphAware deal, what "open ...
Capitec launched the Slam the Scam initiative to inform South Africans about scam techniques such as this one.
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 cloud-based agentic AI platform aims to help human researchers overcome resource constraints and complex data challenges ...
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