Azure Cosmos DB is a multi-model database service that supports various data models, including key-value, column-family, document, and…

It's great to see the launch of Google Cloud's new Agentspace Knowledge Graph, built on Spanner Graph. Agentspace Knowledge Graph (https://lnkd.in/gYM6xZQS) allows an AI agent to understand the real-world context of your organization—the web of relationships between people, projects, and products. This is the difference between finding a document and understanding who wrote it, what team they're on, and what project it's for. Because this context is a network, the problem is uniquely suited for a graph model. Spanner Graph (https://lnkd.in/gkwbGFbS) provides a natural way to model this reality, allowing an AI agent to instantly traverse complex connections to find not just data, but genuine insight. This is how we move from AI that finds information to AI that understands it. The ability to reason over the "why" behind the data is a true game-changer. #GoogleCloud #GenAI #Agentspace #SpannerGraph #KnowledgeGraph

Amazon Neptune version 1.4.5 introduces engine improvements and support for AWS Graviton-based r8g instances. In this post, we show you how these updates can improve your graph database performance and reduce costs. We walk you through the benchmark results for Gremlin and openCypher comparing Neptune v1.4.5 on r8g instances against previous versions. You'll see performance improvements of up to 4.7x for write throughput and 3.7x for read throughput, along with the cost implications.

Design infrastructure for a generative AI application with GraphRAG using Spanner Graph.

Spanner Graph, now GA, includes a notebook experience, query feature and performance improvements and integrations with first- and third-party tools.

Discover Neo4j's 2024 product innovations in cloud-native graph technology, enhancing performance, scalability, AI innovation, and developer productivity.