News
Dec 30, 2025
News
Startups
Artificial Intelligence
NewDecoded
3 min read
Image by Nebula Cloud
NebulaGraph has launched the latest version of its Cloud platform, bringing the advanced AI-native capabilities of its Enterprise v5.2 engine to a fully managed SaaS environment. Released on December 28, 2025, this update unifies high-performance graph processing with vector search to simplify the creation of intelligent applications. The platform targets the growing need for Retrieval-Augmented Generation (RAG) by offering a single infrastructure that handles both structural relationships and semantic data.
The core of this release is a multi-modal query engine that eliminates the friction of managing separate vector and graph databases. By combining graph traversals with vector similarity searches in a single query, the platform enables sophisticated hybrid retrieval. This approach allows Large Language Models to be grounded in factual, interconnected knowledge graphs rather than isolated text chunks, significantly improving AI accuracy.
To maintain performance in complex datasets, the update introduces a SAMPLE clause designed to prevent query stalls on highly connected super nodes. Developers also gain essential transparency through new query execution plans, making it easier to diagnose bottlenecks and optimize performance. These technical improvements ensure that even the most massive data networks remain responsive and efficient for real-time applications.
The user experience has been transformed with the new Cloud Explorer, an intuitive interface for interactive data visualization. Users can now customize node styles, filter results by specific types, and expand subgraphs to uncover hidden patterns visually. All findings can be exported directly as high-resolution images, facilitating better collaboration and reporting across business teams.
Security and reliability are solidified by the platform achieving SOC2 Type I compliance, meeting rigorous enterprise standards for data management. NebulaGraph Cloud removes the overhead of infrastructure maintenance, offering a scalable model that ranges from a 14-day free trial to full production. Developers can begin their graph journey today and experience the fusion of graph intelligence and visual clarity firsthand.
The evolution toward unified data platforms marks a critical turning point for the AI industry in late 2025. While previous years focused on individual vector databases, the standard has shifted toward systems that can manage both semantic meaning and complex structural reasoning. NebulaGraph's move to combine these capabilities in a managed SaaS environment lowers the barrier for enterprises to deploy high-accuracy GraphRAG systems. This consolidation simplifies the developer stack, signaling a move away from fragmented niche tools toward comprehensive, compliant AI data infrastructure.