#NebulaGraphCloud latest version integrates the key computational engines from the enterprise release and supercharges the user experience in the Cloud Explorer. 🚀 🔗 Read More: na2.hubs.ly/H04M-GS0 🔗 Try Now: na2.hubs.ly/H04M-FY0 #GraphDatabase #NebulaGraph #AI

Graph Technology + AI: Building the Foundation for Intelligent Banking Knowledge graphs enhance #AI systems by representing business entities, relationships, domain knowledge, historical interactions, and risk signals. 🔍 na2.hubs.ly/H08vkHQ0 #NebulaGraph #GraphRAG #Fintech

NebulaGraph Enterprise v5.3 is here! ⚡2.2x computation, 1.87x query performance, high availability, multi-tenancy, dynamic replica adjustment, and Dry Run mode deliver the speed, stability, and cost control that production AI demands. 🔗 na2.hubs.ly/H08vjlD0 #NebulaGraph #AI

A global recruitment platform built its #recommendation engine around two complementary graph models. Recommendation scenarios that previously required complex offline processing can now be supported with more real-time relationship analysis. na2.hubs.ly/H08vjjn0 #NebulaGraph

With NebulaGraph Enterprise as its graph storage backend, developers can combine LightRAG's #GraphRAG capabilities with NebulaGraph's scalable graph infrastructure. The resulting architecture brings together complementary strengths. 🚀 🔗 na2.hubs.ly/H08ppRh0 #NebulaGraph #AI

A global banking organization deployed NebulaGraph Analytics as a low-barrier entry point to graph technology and used it to build and run a custom distributed Leiden algorithm.👇Learn more about NebulaGraph Analytics: na2.hubs.ly/H08ppJQ0 #NebulaGraph #GraphAnalytics #Fintech

NebulaGraph Analytics provides a scalable graph computing and analytics platform designed to help enterprises process large graph datasets, run complex algorithms, and integrate graph analytics into production data and AI workflows. 🔗 na2.hubs.ly/H08ppc50 #NebulaGraph #ML #AI

Fusion GraphRAG, pioneered by the NebulaGraph team, moves beyond disparate tools to intelligently fuse knowledge graph technology, document structure, and semantic mapping into a single, cohesive framework.👉 na2.hubs.ly/H08pnhj0 #NebulaGraph #AI #LLM #GraphRAG #KnowledgeGraph

How can we build secure, compliant systems in the new era? BlockSec, a global leader in #blockchain security, offers a solution: a robust #RiskControl system built on #NebulaGraph, enabling seamless flow from data ingestion to actionable risk insights.👇 na2.hubs.ly/H08k7zR0

This article introduces the four main application scenarios of NebulaGraph at Airwallex: 1️⃣ Know Your Customer (KYC) 2️⃣ Real-Time Transaction Correlation 3️⃣ Model Feature Extraction 4️⃣ Visualization and Interaction 🔍 Read more: na2.hubs.ly/H08k7qr0 #NebulaGraph #Payment

With NebulaGraph Enterprise, EasyCash has built a robust, intelligent, and scalable risk control system—one that supports sustainable business growth while protecting users from increasingly sophisticated threats. 🔗 na2.hubs.ly/H08k7gZ0 #NebulaGraph #FraudDetection #Fintech

With #NebulaGraph Analytics, we approach graph computing as a database capability—not just a standalone programming framework. In this blog, we walk through the architectural decisions behind this approach, using #PageRank as a running example. 🔗 na2.hubs.ly/H08hBQD0

Envision selected NebulaGraph as the core engine for its next-generation grid intelligence analytics platform. This solution is not a simple database replacement but a paradigm shift from a "table" to a "graph" mindset. 🚀 🔗 na2.hubs.ly/H08hBKb0 #NebulaGraph #KnowledgeGraph

#NebulaGraph enables three powerful algorithms that detect, dissect, and disable fraud at scale. 1️⃣ Connected Components 2️⃣ Degree Centrality 3️⃣ Dense Subgraph Mining In this blog, we’ll explain exactly how and what it takes to deploy them in production.👉 na2.hubs.ly/H08hBxr0

#NebulaGraph Analytics is architected around the real-world constraints of large-scale graph computation in production environments: scalability, cost control, business-specific customization, seamless data integration, and operational reliability. 🔗 na2.hubs.ly/H08hBt20 #AI

LLMs still struggle with three things: hallucination, weak factual grounding, and reasoning across multi-hop relationships. 🔍 #GraphRAG has become the most credible answer. If you want AI to reason, give it a map.👇 na2.hubs.ly/H08gzzF0 #AI #LLM #GraphAnalytics #NebulaGraph

BOSS Zhipin rebuilt root cause analysis on #NebulaGraph as a real-time dependency graph, then used PageRank to score every node by in-degree, error spikes, and events. A cascading auth-service failure traced back to its true source in under 20 seconds. 🔗 na2.hubs.ly/H08gyfs0

By connecting structured relationships with generative #AI, banks can build more accurate risk analysis systems, intelligent assistants, and domain-specific AI applications. #NebulaGraph helps enterprises build AI-powered financial intelligence systems. 🔗 na2.hubs.ly/H081M_d0

Explore how ontology‑driven knowledge graphs are becoming the standard for supply chain risk management, quality tracing, and regulatory compliance across manufacturing, automotive, and life sciences. 👉 na2.hubs.ly/H081Mlb0 #NebulaGraph #Ontology #SupplyChain #KnowledgeGraph

For platforms with a social graph or user‑item interactions, without relationship typing, you are drowning in undifferentiated connections. Investing in an #ontology layer is the difference between generic #recommendations and personalized engagement. 🔗 na2.hubs.ly/H081M9n0

Ontology turns #FraudDetection from reactive rule‑matching into proactive relationship intelligence. With #ontology, the system does the stitching automatically because the relationships are explicitly defined, typed, and constrained. 👉 na2.hubs.ly/H081M6h0 #NebulaGraph #AI