New Alibaba AI framework skips loading every tool, cutting agent token use 99%

A new framework called SkillWeaver tackles AI agent tool routing by skipping full-library loading, cutting token use 99% on ...
HackerNoon

The Race to Build AI’s Context Layer Is Really About Meaning

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

AI agents need context everywhere they run, even where the cloud can't follow

Couchbase AI Data Plane combines persistent agent memory, vector search and an enterprise MCP server that runs on-device when ...
JD Supra

The Intellectual Property Behind the Soccer World Cup: How to Avoid Offsides When Securing ...

As the 2026 FIFA World Cup unfolds across North America, the world is focused on the players, coaches, and dramatic moments on the field.

Arango GraphRAG实战：用知识图谱让大模型"理解"企业业务

检索增强生成（RAG）已成为企业部署大模型的主流架构。传统向量RAG的逻辑清晰：将文档切块、向量化、存入向量数据库，查询时以语义相似度召回最相关的文本片段。 这套方法在单点事实查询场景表现优异——问"如何重置密码"，向量检索总能召回正确文档。但当企业应用深入到需要理解实体之间关系的场景时，向量RAG的天花板便显现出来。 典型场景：用户问"哪些供应商的工厂位于地震带上？这些供应商的上游原料采购有没有 ...