To use a knowledge graph with your RAG application, you can either use an existing knowledge graph with data that is tested and known to be correct in advance, or create your own.

We will return later to the integration of tool APIs, but for the rest, we see the elements of a RAG approach, along with the knowledge graph. Note the presence of a “prompt processing” component.

As far as fintech AI tools in 2025 go, investment into RAG-based systems and generative AI is creating real value for ...

So when GraphRAG creates a knowledge graph, it’s creating a “structured” representation of the relationships between various “entities” (like people, places, concepts, and things) which ...

The evolving landscape of data architecture has shifted in the past two years with the arrival of AI capabilities -- fundamentally changing how organizations evaluate, justify, and implement their ...

Other dimensions explored by eBay architecture knowledge graph are dependencies between services and criticality. A graph provides an immediate understanding of multi-dimensional relationships.

Despite the promising future, adopting knowledge graph technology comes with its challenges. Data integration issues and the need for specialized skills can be significant hurdles.

With a new knowledge-as-a-service offering, ... they potentially add a graph RAG capability like Neo4j. ... a unified and open architecture that brings all necessary tools and controls to one place.

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

This strategic acquisition integrates Synaptica’s robust semantic graph technology with Squirro’s cutting-edge generative AI capabilities, creating a powerful platform for knowledge discovery ...