On November 17, OceanBase quietly launched its AI domain name www.oceanbase.ai. The page is simple, featuring only one sentence: "AI... New possibilities, see you on 11.18."

This move is seen as a key step for OceanBase to transition from technical layout to product implementation since it announced the "Data x AI" strategy in April this year. The new domain not only strengthens the brand's association with AI but also hints that the annual conference on November 18 may launch core products tailored for AI-native scenarios.

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(Screenshot of the new oceanbase.ai website)

Over the past fifteen years, OceanBase has served as the technological foundation for high-concurrency scenarios like "Double 11," accumulating mature distributed architecture capabilities. Now, these capabilities are being systematically transformed into infrastructure for the AI era. Its core idea is: using "one set of data, one engine" to support high-concurrency transactions, real-time analysis, and AI inference simultaneously.

This year, OceanBase has been active in the AI field:

· In April, CEO Yang Bing issued an internal message, clearly stating that the company has fully entered the AI era, and CTO Yang Chuanhui was appointed as the head of the AI strategy;

· At the May developer conference, the technical path of "multi-modal integration, load collaboration, and data-model coupling" was first announced;

· In June, OceanBase announced integration with over 60 ecosystem partners such as LangChain, LlamaIndex, and Dify, supporting the MCP large model protocol;

· Its self-developed vector engine has reached open-source leading levels, and the PowerRAG solution has already been implemented in industries such as finance and retail.

In practical applications, OceanBase has supported various AI scenarios. For example, Bajun Technology built an enterprise knowledge base based on it, achieving RAG responses in seconds; Yintai Business created an intelligent data query platform, enabling natural language queries of regulatory documents; China Unicom's Soft Research Institute developed ChatDBA, improving the efficiency of operation and maintenance knowledge retrieval; Ctrip and Sanwei Jia respectively implemented "vector fusion queries" in hotel image retrieval and furniture smart recommendation scenarios.

The financial industry is also a key area for application. For example, Beijing Bank smoothly migrated more than 40 systems within six months, launching over 100 systems, reducing hardware costs by about 70%; Sichuan Bank completed the migration of 133 core systems in 48 hours, setting an industry record.

Not only domestically. In Indonesia, the e-wallet DANA relies on OceanBase to achieve 7x24 hours of uninterrupted service, reducing storage costs by 70%; after migrating the core accounting systems of GCash in the Philippines and PalmPay in Africa, transaction capacity tripled, and PalmPay reduced costs by 86%; projects such as SCCC, QiCard in the Middle East are also using OceanBase to rebuild local financial infrastructure.

OB Cloud has already covered seven cloud platforms including AWS, Azure, GCP, and Alibaba Cloud, serving across Asia, Africa, Europe, and America—truly achieving "one architecture, global deployment."

An analysis suggests that oceanbase.ai is not just a brand identifier. In the future, it will serve as a unified entry point for the AI ecosystem, carrying best practices for RAG, standardized integration solutions, and data connection specifications for AI Agents, further lowering the threshold for enterprises to apply AI.

As the November 18th conference approaches, the industry generally expects OceanBase to officially launch a new AI-native kernel, deeply integrating vector, PowerRAG, and multi-modal capabilities, and releasing standardized solutions for industries such as finance and manufacturing.

From supporting the peak traffic of "Double 11" to serving thousands of enterprises globally, OceanBase is doing something even more challenging:

Transforming the database from a "backroom warehouse" into a "living data hub" in the AI era. And the answer to this transformation is about to be revealed.