![]() |
|
Practical Guide to Amazon Kendra GenAI Retrieval-Augmented Search in Action - Nyomtatható verzió +- HHW.hu (https://hhwforum.hu) +-- Fórum: Letöltések (https://hhwforum.hu/forumdisplay.php?fid=9) +--- Fórum: E-könyvek (https://hhwforum.hu/forumdisplay.php?fid=57) +---- Fórum: Külföldi könyvek (https://hhwforum.hu/forumdisplay.php?fid=64) +---- Téma: Practical Guide to Amazon Kendra GenAI Retrieval-Augmented Search in Action (/showthread.php?tid=409791) |
RE: Practical Guide to Amazon Kendra GenAI Retrieval-Augmented Search in Action - book24h - 2026-01-04 ![]() Free Download Practical Guide to Amazon Kendra GenAI: Retrieval-Augmented Search in Action by Emile J. Bailey English | August 8, 2025 | ISBN: N/A | ASIN: B0FLVN93CP | 169 pages | EPUB | 0.24 Mb Amazon Kendra GenAI pairs a high-accuracy hybrid search engine with Bedrock's managed large-language models to deliver Retrieval-Augmented Generation (RAG) in one fully managed service. It ingests content from dozens of data sources, enforces document-level permissions, and feeds the most relevant passages to an LLM that writes fluent, source-cited answers-securely and at enterprise scale. 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. Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me Idézet:A kódrészlet megtekintéséhez be kell jelentkezned, vagy nincs jogosultságod a tartalom megtekintéséhez.Links are Interchangeable - Single Extraction |