Oracle AI Vector Search 与 Google MCP Toolbox 携手打造智能体 AI [LRN3316].pdf

1、The following is intended to outline our general product direction.It is intended for information purposes only,and may not be incorporated into any contract.It is not a commitment to deliver any material,code,or functionality,and should not be relied upon in making purchasing decisions.The developm

2、ent,release,timing,and pricing of any features or functionality described for Oracles products may change and remains at the sole discretion of Oracle Corporation.Safe harbor statement1Copyright 2025,Oracle and/or its affiliates|Confidential:Internal/Restricted/Highly RestrictedOracle AI Vector Sear

3、ch meets Google MCP Toolboxto power Agentic AI For Any Game2Copyright 2025,Oracle and/or its affiliates|Confidential:Internal/Restricted/Highly RestrictedTirthankar LahiriSVP of Mission-Critical Data and AI EnginesOracle Database Kiran TailorPractice Leader,DatabasesGoogle CloudSpeakersKiran TailorS

4、VP,Mission-Critical Data&AI EnginesTirthankar Lahiri3Copyright 2025,Oracle and/or its affiliatesPractice Leader,DatabasesAgenda4Copyright 2025,Oracle and/or its affiliatesVectorsSimilarity SearchVector IndexingRAGAgentsMCPGoogle ADKDemoAI Vector SearchCopyright 2025,Oracle and/or its affiliates5A ne

5、w breakthrough technology to search documents,images,and other structured and 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

6、 of numbers,called a vectorDevelopers create a vector for data using a deep-learning model,referred to as an embedding model,that can be invoked as a function call Oracle Vector Database natively stores vectors and compares vectors to find objects with similar semantic contentCopyright 2025,Oracle a