This article from FalkorDB explains how knowledge graph tools can enhance the reasoning capabilities of large language models (LLMs) by providing structured context from a knowledge base.

It differentiates knowledge graphs from graph databases, outlines the functions of knowledge graph tools, and describes various types of these tools, including those focused on graph database systems, AI-integrated frameworks, domain-specific solutions,
dynamic knowledge graph construction, and visualization. The article then dives into the benefits of knowledge graph tools, such as a complete view of data, the ability to show data connections, and the ease of handling data changes.

It concludes by highlighting the features of FalkorDB, a knowledge graph tool specifically designed for high-performance knowledge graph applications, particularly in the context of large language models (LLMs), and explores how FalkorDB can be used to build AI applications that require structured data for reasoning and fact-checking.

To read more see: https://www.falkordb.com/blog/how-to-use-knowledge-graph-tools-for-ai/