Where graph databases live in a future AI data stack

The article suggests that graph databases, previously a niche technology, are poised for a resurgence in AI applications, specifically within the context of retrieval augmented generation (RAG). This implies a shift in how AI systems handle and process data, potentially leveraging the relationships inherent in graph structures for improved information retrieval and knowledge representation. The focus on RAG indicates a practical application of graph databases in enhancing the performance of large language models (LLMs).