EY re-envisions RAG around multimodal knowledge graphs to improve accuracy

Conventional RAG systems are built mainly to retrieve text. Enterprise documents, however, often place critical facts in ...

Concho AI turns enterprise codebases into a knowledge layer for AI agents

Concho AI today introduced its flagship platform, an artificial intelligence platform that understands software development ...
IEEE

The Construction of Knowledge Graphs in the Assembly Domain Based on Deep Learning

Abstract: The operation scenario of human-robot collaboration assembly involves multiple channels to acquire assembly domain knowledge data. In order to equip collaborative robots with certain general ...
Journal of Medical Internet Research

Large Language Model–Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study

The resulting knowledge graph provides a robust framework for understanding sepsis, supporting clinical decision-making, and facilitating further research. The success of this approach underscores the ...
IEEE

Hard or False: Keep the Balance for Negative Sampling in Knowledge Graphs

Abstract: Negative sampling is an essential part in knowledge graph embedding, which offers significant advantages to numerous downstream related tasks. There are two kinds of important negatives: ...