Knowledge graphs are increasingly recognized as crucial components in the development of reliable AI systems. They act as intelligent maps that aid AI in understanding connections, explaining decisions, and enhancing learning. OriginTrail's upcoming V8 Decentralized Knowledge Graph aims to provide a superior solution by integrating decentralized, transparent data sources into AI processes, thereby enabling more trustworthy AI systems. The integration of knowledge graphs with AI, particularly large language models (LLMs), is seen as essential for reducing hallucinations and empowering these models. The recent DataHack Summit 2024 highlighted the importance of enhancing LLMs with GraphRAGs, which bridge the gap between retrieval-augmented generation (RAG) and knowledge graphs, showcasing real-world applications. Neo4j labs is noted for combining knowledge graphs with native vector search to optimize AI solutions.