Native Neo4j integrations with Google Cloud will accelerate gen AI action
Neo4j, the graph database and analytics company, has announced new native integrations with Google Cloud that speed up generative AI (gen AI) application development and deployment. The results address complexity and hallucinations when building and deploying successful gen AI applications requiring real-time, contextually rich data and accurate, explainable results. Knowledge graphs support gen AI. They capture relationships between entities, ground LLMs in facts, and enable LLMs to reason, infer, and retrieve relevant information accurately and effectively. According to Gartner’s November 2023 report AI Design Patterns for Knowledge Graphs and Generative AI, “data and analytics leaders must leverage the power of large language models (LLMs) with the robustness of knowledge graphs for fault-tolerant AI applications.” Retrieval Augmented Generation (RAG) is the technique by which LLMs access external datasets. Combining knowledge graphs with RAG , known as GraphRAG, ensures that...