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Oracle AI 向量搜索入门 [HOL2804].pdf

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1、Data Deep Diveat Oracle AI World 25HOL2804-Getting Started with AI Vector SearchAndy Rivenes,Sean StaceyAI Vector Search Product ManagementOracleOctober 13-16,2025Getting Started with AI Vector Search HOL Agenda2Oracle AI World Copyright 2025,Oracle and/or its affiliates12345Welcome and Introduction

2、Overview:AI Vector SearchIntroduction to the Workshop EnvironmentHow AI Vector Search WorksWrap Up and Next StepsWelcome and IntroductionHOL2804-Getting Started with AI Vector SearchSpeakersAndy RivenesProduct ManagerSean StacyProduct Manager Database AI Engine4Oracle AI World Copyright 2025,Oracle

3、and/or its affiliatesOverview:AI Vector SearchHOL2804-Getting Started with AI Vector Search6Oracle AI World Copyright 2025,Oracle and/or its affiliatesVector Search is a breakthrough capability for searching data by semanticsAI Vector SearchOracle AI World Copyright 2025,Oracle and/or its affiliates

4、7Find similar documents,images,and other unstructured data based on their semantic content,rather than their words or pixelsVector3342162150AI Vector Search works by representing the semantic content of a document,image,video,or even relational data as a sequence of numbers,called a vectorDevelopers

5、 create a vector for an object by just passing the object to a built-in vectorization functionOracle Vector Database natively stores vectors and compares vectors to find objects with similar semantic contentCopyright 2025,Oracle and/or its affiliates8The main operation on vectors is the Mathematical

6、 Distance between them9Oracle AI World Copyright 2025,Oracle and/or its affiliates82133262Distance(Euclidean Squared)=(3-2)2+(1-6)2+(2-2)2+(8-3)2)There are many mathematical distance formulasBetter Together:Business Data and Business Vectors Oracle AI World Copyright 2025,Oracle and/or its affiliate

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根据《Data Deep Dive at Oracle AI World 25 HOL2804 - Getting Started with AI Vector Search》的内容,以下是全文关键点的概括: 1. **AI Vector Search 简介**:这是一种基于语义内容而非文字或像素进行数据搜索的技术,通过将数据转换为向量来表示其语义内容。 2. **向量生成**:开发者可以通过多种方式生成向量,包括使用预创建的嵌入、外部云服务、中间件库或数据库内嵌模型。 3. **向量存储和索引**:Oracle Vector Database 可以存储向量,并使用向量索引来提高搜索效率。 4. **向量搜索操作**:主要操作是计算向量之间的距离,支持多种距离度量,如余弦、欧几里得等。 5. **近似搜索**:使用向量索引可以显著提高搜索速度,尤其是在处理大量数据时。 6. **图像搜索**:AI Vector Search 可以应用于图像等非结构化数据。 7. **企业级集成**:AI Vector Search 与 Oracle Database 的企业级功能无缝集成,支持实时应用集群、并行SQL、事务、安全性和灾难恢复。 8. **AI Vector Search 的应用**:包括相似内容搜索、产品推荐、异常检测和自然语言目录搜索等。
如何快速找到相似内容?" 开启语义搜索新时代!" 解锁企业数据新潜能!"
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