The Role of Knowledge Graphs in RAG Solutions

What Works and What Doesn’t When It Comes to Reasoning and Inferencingby Michael IantoscaKnowledge graphs are like the Swiss Army knives of data representation — versatile, robust, and full of possibilities. However, not every tool in the kit is equally beneficial in Retrieval Augmented Generation (RAG) solutions. RAG combines the best retrieval systems and generative AI to create accurate, contextual, and dynamic responses. So, where do knowledge graphs excel in this partnership, and where do they feel like an awkward plus-one at the party?The Spotlight on RAGRAG boosts AI-generated content by pulling in the most relevant data from a trusted source — like a knowledge graph. It ensures that the information backing the AI is grounded in fact, reducing hallucinations, and making responses sharper and more reliable.