Knowledge graphs are increasingly pivotal in solving complex problems across industries, offering structured and intuitive approaches to data analysis, visualization, and decision-making.

Abstract The cost and strict input format requirements of GraphRAG make it less efficient for processing large documents. This paper proposes an alternative approach for constructing a knowledge graph ...

This paper presents a framework for utilizing maritime and shipping documents to construct a knowledge graph using GraphRAG, a hybrid tool combining graph-based retrieval and generation capabilities.

Understanding potential pitfalls—and how to overcome them—can help organizations maximize the value of this technology.

Explore the role of content knowledge graphs in enhancing your marketing strategy and improving information retrieval with structured data.

The graph of knowledge vs. the knowledge graph: GoK is a broader, more conceptual idea focusing on interconnected information, without necessarily being highly structured.

Knowledge graphs—machine-readable data representations that mimic human knowledge—are bridging the gap between proprietary enterprise data and safe, reliable, helpful LLMs.

Effective graph visualization is crucial for various fields, including social network analysis, bioinformatics, cybersecurity, and software engineering. By providing a visual understanding of complex ...

Understand the building blocks of knowledge graphs – entities, relationships and attributes – and how they relate to information retrieval.