想免费体验 Oracle AI Database 26ai?使用免费版,您将有机会了解知名企业可靠运行关键工作负载的强大数据库。Oracle AI Database 26ai Free 支持您使用多达 2 个 CPU、2 GB RAM 和 12 GB 存储处理数据 — 所有这些要素都封装在一个简单、现成可用的程序包中。赶快下载、安装并开始构建您的下一个大型项目吧。
Oracle 将 AI 架构到 Oracle AI Database 26ai 的核心,进一步履行 Oracle 致力于帮助客户安全地将 AI 应用于各种环境中的所有数据的承诺。
无论您是开发人员、数据科学家、DBA、教育工作者还是数据迷,Oracle AI Database 26ai 都是您的理想起点。它提供现成的功能:不仅支持所有现代数据类型,还提供 AI 驱动的矢量搜索、广泛的 LLM 支持、分析以及前沿开发技术。查看 Oracle 的免费使用条款和条件,立即开始免费试用。
通过 Always Free Autonomous AI Database 和 Autonomous AI Database Free Container Image,充分体验 Oracle AI Database 26ai 的新特性。试用新功能并开发新应用,同时利用 OCI Object Storage、OCI Block Volume 等其他 Always Free OCI 服务。
使用搭载 Arm 或 Intel 芯片的计算机进行开发的 Mac 开发人员,可以使用 Docker 映像在本地利用 Oracle AI Database 26ai 的新功能来构建应用。
使用 Oracle AI Database 26ai for Windows x64 进行开发。从下面的链接下载。
在 Oracle Linux 8 或 9 或 Oracle Enterprise Linux 8 或 9 上使用 Oracle AI Database 26ai 进行开发。
在基于 OCI、Azure、Google Cloud 或 AWS 的现有 Dedicated Exadata Cloud 平台上使用 Autonomous AI Database 免费试用、开发或测试新工作负载。
在现有 Exadata Cloud@Customer 平台上使用附带免费开发人员许可证的 Autonomous AI Database 或 Exadata Database Service 免费进行开发。
在基于 Arm 的平台上使用 Oracle Linux 8 上的 Oracle AI Database 26ai 进行开发。
“Today, developers building AI-powered applications are driving technology decisions like never before. Empowering them with frictionless tools is critical to fueling the next wave of innovative, user-centric apps. Oracle AI Database 26ai Free breaks down access barriers, putting advanced AI—which will include in-database AI agents—directly in developers’ hands and enable them to shape the future on their own terms. This move reinforces Oracle’s commitment to the developer community.”
“As the saying goes ‘there is no AI without data.’And, Oracle databases hold the world’s most valuable data that is now critical for organizations to adopt AI into their business processes. The latest release, Oracle AI Database 26ai, incorporates AI into the core of data management, making it easier for customers to do much more than RAG with AI Vector Search. This new release unifies search across traditional internal data, including real-time operational data, graph, JSON, and AI vectors; enables customers to build, deploy, and manage custom AI agents; and team up agents to work on tasks. Oracle is turning its converged database into an AI powerhouse that even non-Oracle users should consider.”
“Oracle has cemented its leadership as the database for mission-critical workloads—which are even more critical in the AI era, as agents need transactions to run successfully and they move to create even more transactions than possible with their human counterparts. With Oracle AI Database 26ai, Oracle enables its customers to successfully move into the AI era, leveraging their existing investments in software, skills and know-how. For Oracle customers it’s not ‘bring the data to AI,’ but it’s ‘AI comes to the data’—and with that, organizations can leverage their existing investments and software assets.”
“Imagine creating your own agent or even a team of agents to perform tasks. With Oracle AI Database 26ai, customers can do just that using the company's Oracle Select AI Agent, which provides a framework to build, deploy, and manage custom AI Agents. Developers define agents declaratively using PL/SQL or Python. An agent team could, for example, be used to automate finding solutions to database issues using DB logs. They could fetch logs, analyze the issue, and find a solution using RAG. This agent team could then write a report and post it on Slack. This is just one of the many uses for built-in AI. Oracle Database Engineering’s creativity is truly on display with Oracle AI Database 26ai, separating Oracle from many of its principal competitors in providing customers with a competitive edge.”
“With most enterprises storing different data types in different data siloes, the promise of an enterprise-grade AI solution that brings all of a company’s data together to take full advantage of AI remains an ongoing challenge. What’s needed is a true AI database, one that combines the ability to support all data types in a unified architecture—and bring it together with the rapid advances of AI—such as agentic AI, unified vector search, leading LLMs, MCP Server, NL-to-SQL and more. With its latest release, Oracle has done just that, by introducing an AI database that enables organizations to combine all of their private business data with public data and agentic frameworks to rapidly advance their business forward with AI. The enterprise database for the era of AI has a new name—and it’s Oracle AI Database.”
使用 AI Vector Search 开发应用,利用 Oracle AI Database 中的向量数据类型、索引和 SQL 运算符,存储和查询来自各种非结构化数据的语义内容,同时支持使用检索增强生成 (RAG) 来生成对自然语言查询的响应。
通过单一信息源在关系模型或 JSON 范例中构建应用,并受益于关系模型和文档模型的优势。只需进行一次数据存储,即可使用任一方法进行访问、写入和修改。
通过编写 JavaScript 存储过程(由 GraalVM 提供支持)并将现有的 JavaScript 库导入数据库中,创建高性能的数据驱动型应用。直接在数据层中执行业务逻辑,尽可能地减少到数据库的往返过程。
使用符合行业标准的 JSON SChema,确保仅将有效数据插入 JSON 列。
使用数据库原生属性图形视图,查找和分析关系、预测趋势并快速发现洞察。使用新的 SQL 标准属性图形查询对关系数据和 JSON 数据运行图形分析。
对表、列、视图、索引等的常用数据模型属性进行注释,以此提供一个轻量级、声明性的中央库,跨应用来解释、注册和交换 AI 的使用属性。
集中描述数据的预期使用情况,并确保数据处理在应用中保持一致,使域更贴近 AI 和数据。
正在为您的下一个开发项目寻找合适的数据库?亲自体验 Oracle AI Database Free,深入了解 Oracle AI Database。
注:为免疑义,本网页所用以下术语专指以下含义:
Oracle AI Database 26ai 赋能“AI for Data”革命