NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
Couchbase AI Data Plane combines persistent agent memory, vector search and an enterprise MCP server that runs on-device when ...
Company to demonstrate how the new integrated Platform structures data into a trusted Semantic Backbone to guarantee ...
Google formalizes the "LLM Wiki" pattern with the Open Knowledge Format as an open standard for AI knowledge. Google Cloud has introduced Open Knowledge Format (OKF), an open specification designed to ...
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.
Agentic AI moves beyond chatbots into systems that plan, use tools, and act. Learn key terms, architectures, risks, ...
Shreyansh Sharma built high-performance financial data pipelines, improving accuracy, speed, scalability, and reliability for ...
Roese's predictions: stronger AI governance, better data management, agentic AI infrastructure, resilient AI factories, and sovereign AI strategies.
Genie Ontology aims to unify business definitions across systems, but analysts say data quality and governance will make or ...
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