The evolution of web search engines offers an instructive example, showing how knowledge can be extracted from unstructured sources and refined over time into a structured, interconnected graph.

Just as an experienced team member might identify common challenges and successful solutions over time, a knowledge graph can uncover trends across thousands of accounts simultaneously.

The rapid advancement of AI is providing new opportunities for government agencies to streamline investigations, automate ...

Integrating a knowledge graph takes time but optimizes enterprise data for LLMs, resulting in answers that are more likely than not to be applicable, deep and useful. Gartner Inc.'s 2023 AI Hype ...

Unlike traditional databases, knowledge graphs organize information as nodes and edges, making them better for AI systems that reason & infer.

Knowledge graphs have existed for a long time and have proven valuable across social media sites, cultural heritage institutions, and other enterprises. A knowledge graph is a collection of ...

Graph databases and knowledge graphs—especially when combined—fulfill ... Graph databases enable real-time analysis of relationships, which is essential for dynamic environments.” With generative AI ...

With RAG, for the first time, GenAI-powered solutions can enhance ... Vector Databases (DBs) and Knowledge Graphs. While these data management technologies may not be as exciting as RAG, if ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.