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超越向量搜索:利用 RAG 中的图实现更智能的 AI [PAN1945].pdf

上传人: Fl****zo 编号:971359 2025-11-08 40页 2.15MB

1、Beyond Vector Searches:Leveraging Graph in RAG for Smarter AIMelli Annamalai,Rahul TaskerGraph Product ManagementOracleOctober 16,2025Craig ShallahamerViscosity,Applied AI ScientistOracle ACE DirectorCEO,Miracle Finland OyOracle ACE DirectorHeli HelskyahoAbout the Demo:Knowledge Graphs for Document

2、SearchCopyright 2025,Oracle and/or its affiliates|Confidential:Internal/Restricted/Highly Restricted2EinsteinQuantum TheoryTheory of RelativityGerman EmpireSwitzer-landSwiss Federal Polytechnic SchoolBORN_INENROLLED_ATMOVED_TOCONTRIBUTED_TODEVELOPEDCopyright 2025,Oracle and/or its affiliates|Confide

3、ntial:Internal/Restricted/Highly Restricted3Copyright 2025,Oracle and/or its affiliates|Confidential:Internal/Restricted/Highly Restricted4What are Knowledge GraphsA knowledge graph is a data model that represents real world concepts as vertices,edges and propertiesEADCBFHIGCreating the Graph View o

4、f DataCopyright 2025,Oracle and/or its affiliates|Confidential:Internal/Restricted/Highly Restricted5VERTICESEDGESVIDVLABEL.EIDSRC_VIDDST_VIDELABELEinsteinQuantum TheoryGerman EmpireSwitzer-landSwiss Federal Polytechnic SchoolBORN_INENROLLED_ATMOVED_TOCONTRIBUTED_TODEVELOPEDCREATE PROPERTY GRAPH doc

5、ument_pgVERTEX TABLES(verticesKEY(vid)LABEL nodesPROPERTIES(vid,vlabel,props)EDGE TABLES(edgesKEY(eid)SOURCE KEY(src_vid)REFERENCES vertices(vid)DESTINATION KEY(dst_vid)REFERENCES vertices(vid)LABEL edgesPROPERTIES(eid,src_vid,dst_vid,elabel,props)Theory of RelativityCopyright 2025,Oracle and/or its

6、 affiliates|Confidential:Internal/Restricted/Highly Restricted6Where do Knowledge Graphs come from?CarAccountAccountCustomerCustomerCarPersonPersonCompanyPersonLocationCompanyCARSCUSTOMERSACCOUNTSPersonPersonPersonLocationCompanyCompanyCopyright 2025,Oracle and/or its affiliates|Confidential:Interna

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根据报告的内容,全文主要内容概括如下: 1. **知识图谱介绍**:知识图谱是一种数据模型,用顶点、边和属性表示现实世界概念。 2. **知识图谱应用**:通过从文档中提取实体和关系,构建知识图谱,用于智能搜索和检索。 3. **GraphRAG技术**:GraphRAG结合了图和向量搜索,用于处理多模态数据,如文本、图像和地理信息。 4. **案例研究**:以芬兰洛哈市为例,展示了GraphRAG在智能搜索中的应用。 5. **技术实现**:使用Oracle数据库、PL/SQL、APEX和Gen AI服务等技术构建GraphRAG系统。 6. **未来发展**:GraphRAG技术将继续发展,以适应更复杂的搜索需求。
AI搜索新革命?" AI如何理解世界?" 知识图谱的力量!"
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