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编写具有生存时间 (TTL) 的低成本多租户知识库.pdf

上传人: 明**** 编号:1013647 2025-12-21 11页 152.13KB

1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.S A S 4 1 2Coding Cost-Efficient Multi-Tenant Knowledge Bases with TTLSteven WarwickSr.Solutions ArchitectMike GillespiePrincipal Solutions Architect 2025,Amazon Web

2、 Services,Inc.or its affiliates.All rights reserved.AgendaWhy Knowledge Bases?Challenges and solutions for RAG Multi-tenancyDemoQuestions and Answers 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Design Decisions In Knowledge BasesTenant Specific SearchHybrid SearchAI-enabled fe

3、aturesApplication enables users to upload documents and then allow users to search against them.Do full text search and semantic search.Power chatbots or other AI features that are customized with tenant specific data.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web

4、 Services,Inc.or its affiliates.All rights reserved.Challenges and Solutions for Multi-tenant Knowledge Bases 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.ChallengesData isolationHow can a SaaS provider cost-effectively provide tenant data isolation,while still ensuring that da

5、ta never leaks across tenant boundaries.Tiered performanceHow does a SaaS provider enable tiered experience that enables customers to pay more for a higher tier of service.For example,can you make data volume and latency dependent on the subscription level.Data lifecycle managementProvide the capabi

6、lity to have a data expire from the search,or tiered to another level 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Challenge:Tiered PerformanceOpensearchpgVectorS3 Vector BucketLow latencyLargest Vector StoresHybrid SearchProvisioned Cost

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根据报告的内容,全文主要内容概括如下: 1. **知识库的重要性**:文章探讨了为何需要知识库,并介绍了其应用,如文档搜索、AI聊天机器人等。 2. **多租户知识库的挑战与解决方案**: - **数据隔离**:确保SaaS提供商在成本效益下提供数据隔离,防止数据泄露。 - **性能分层**:提供不同级别的服务,如根据订阅级别调整数据量和延迟。 - **数据生命周期管理**:确保查询针对准确和及时的数据,通过数据修剪降低成本。 3. **技术架构**: - 使用Amazon OpenSearch Service、Amazon S3、pgVector等工具实现低延迟、高成本效益的搜索。 - 利用AWS Lambda、DynamoDB等云服务进行数据处理和监控。 4. **解决方案**: - 通过JWT、Cognito、API Gateway等技术实现安全的多租户访问。 - 利用Bedrock构建知识库,提供高效的数据管理和服务。
"多租户知识库挑战如何破?" "高效知识库,成本如何控制?" "AI赋能,搜索体验升级!"
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