Practical Guide to Amazon Kendra GenAI Retrieval-Augmented Search in Action

Practical Guide to Amazon Kendra GenAI: Retrieval-Augmented Search in Action is a hands-on playbook for building production-ready RAG systems. Step by step, you'll provision indexes, connect data sources, tune relevance, lock down security, and instrument cost-aware dashboards. Real-world case studies-from SaaS support bots to clinical decision assistants-illustrate how the same principles adapt to wildly different domains and compliance regimes.
What's inside this book;Provisioning GenAI indexes, connectors, and enrichment pipelinesDesigning hybrid keyword + vector schemas for maximum recallBuilding Lambda- and Step Functions-based query workflowsImplementing attribute-based access control and KMS encryptionMonitoring latency, token spend, and click-through KPIsRunning blue-green A/B tests and continuous relevance tuningIndustry case studies in finance, healthcare, and manufacturingEmerging trends: multimodal search, online learning rankers, on-device retrievalThis book is strictly written;
For cloud architects, developers, and security engineers who know AWS fundamentals and want to add GenAI-powered search to their toolkit. No prior search-engine expertise required; every concept is introduced from first principles.

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