Knowledge Graphs and Large Language Models: the perfect combination!

Article Knowledge Graphs and Large Language Models: the perfect combination! Out-of-the-box solutions for RAG systems (Retrieval Augmented Generation) are becoming increasingly widespread. They promise to make a company’s knowledge accessible from documents such as PDFs or Word files using Large Language Models (LLMs) in the form of a chat. In this context, the question inevitably arises: What role do knowledge graphs play in this scenario – and what added value can they offer?In other words: If I can make all my texts available via chat, why should I invest money and time resources in structuring my knowledge?From the perspective of a company that has already invested these resources, i.e. has a knowledge graph available, the question arises as to whether an LLM can still offer added value.