使用 Amazon S3 Vectors 构建无服务器矢量应用程序 [重复].pdf

1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.S T G 3 2 1-RBuilding serverless vector applications with Amazon S3 Vectors Dhanika SujanProduct Manager Technical,Amazon S3,AWSDmitri PavlichinPrincipal Applied Sci

2、entist,Amazon S3,AWS 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.VECTORS ARE THE LANGUAGE OF AI 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Agenda1.Similarity search with vector embeddings2.Introducing Amazon S3 Vectors3.S3 Vectors vs.traditional vector

3、databases 4.S3 Vectors and Amazon Bedrock Knowledge Bases for RAG5.S3 Vectors and Amazon OpenSearch Service 6.Q&A 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.What are vector embeddings?Numerical representation of meaning Generated by Machine Learning(embedding)modelsVector Emb

4、eddings can be text,sentences,images,video and audio 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Similarity search with vector embeddingsCoffee:1.2,2.0Tea:1.1,2.3ClassicalJazzOrcaPorpoiseGorillaTelevisionPhoneKindleTea0.01Coffee0.02Television0.14Classical0.34Query“warm drink”:

5、1.05,2.1,“warm drink”:1.05,2.1 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.V E C T O R E M B E D D I N G S1.0,-2.3,4.0,.0.1,2.2,1.5,.-0.2,3,5,.1.0,2.5,3.4,.3.0,3.7,4.5,Managing large volumes of vector embeddings is challengingCOSTCost prohibitive to deploy search and AI-driven

6、 applications that rely on larger vector datasets SCALABILITYInability to scale from small to very large vector datasetsGRANULARITYThe challenge is compounded when generating vector embeddings at a finer grain 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Service