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Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Zustand: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.
Sprache: Englisch
Verlag: Morgan Kaufmann Publishers In, 1993
ISBN 10: 1558602925 ISBN 13: 9781558602922
Anbieter: Ammareal, Morangis, Frankreich
Softcover. Zustand: Très bon. Ancien livre de bibliothèque. Couverture différente. Edition 1993. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Different cover. Edition 1993. Ammareal gives back up to 15% of this item's net price to charity organizations.
Sprache: Englisch
Verlag: McGraw-Hill Companies, 1997
Anbieter: Bookbot, Prague, Tschechien
Hardcover. Zustand: As New. Leichte Kratzer / Abnutzungen / Druckstellen. With a unique systematic coverage of next-generation databasing, this essential handbook gives computing professionals working in distributed systems a one-stop source of information and tips on the design, operation, and use of database management systems for a wide variety of applications.
Sprache: Englisch
Verlag: Morgan Kaufmann Publishers In, 1993
ISBN 10: 1558602925 ISBN 13: 9781558602922
Anbieter: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Deutschland
gebundene Ausgabe. Zustand: Gut. 2. Auflage;. 592 Seiten; Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 1150.
Hardcover. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
Hardcover. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Anbieter: Phatpocket Limited, Waltham Abbey, HERTS, Vereinigtes Königreich
EUR 49,23
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Anbieter: Books Puddle, New York, NY, USA
Zustand: Used. pp. 640 International Edition.
Zustand: Used. pp. 640.
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EUR 100,32
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Taschenbuch. Zustand: Neu. The Architecture Handbook for Milvus Vector Database | Design and implement high-performance vector search systems with Milvus | Yudong Cai (u. a.) | Taschenbuch | Englisch | 2026 | Packt Publishing | EAN 9781835881705 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Co-authored by core contributors of Milvus, this book guide explores the architecture of the Milvus vector databases for GenAI solutionsFree with your book: DRM-free PDF version + access to Packt's next-gen Reader\*Key Features: Understand the core architecture and vector indexing engine that makes Milvus ideal for AI-driven search Learn scalable deployment and performance optimization techniques Test, apply, and integrate Milvus into AI and LLM pipelines using LangChain Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:The rapid adoption of LLMs demands efficient storage and lightning-fast retrieval of unstructured data. Designed as a vector database, Milvus has earned widespread recognition in the community and support from tech giants like Apple and NVIDIA. Yet, many developers only scratch the surface of what Milvus is truly capable of. Written by the contributors of the Milvus project, this handbook gives you an insider's perspective on its design and how it handles large-scale, high-dimensional vector data.Starting with the basics, you'll learn about everything from service deployment and SDK usage to Milvus' layered architecture and how its components interact. You'll learn how the indexing, replication, compaction, and garbage collection systems work and how to apply them to real scenarios. Through practical demos and configuration exercises, you'll learn how to monitor, scale, and secure Milvus in production and then advance to performance evaluation and scalability testing using tools like VectorDBBench. You'll also explore Milvus' integration with LangChain for use cases such as vector search and RAG-based chatbots.By the end of this book, you'll be able to analyze Milvus internals, fine-tune for performance, ensure system stability, and integrate it into next-generation AI solutions.\*Email sign-up and proof of purchase requiredWhat You Will Learn: Deploy Milvus using Docker, Kubernetes, and Helm Configure Milvus and monitor system health with Prometheus, Grafana, and Loki Understand core components like Knowhere, indexes, time sync, compaction, and garbage collection Design and optimize schema, queries, and data modification flows Benchmark performance and simulate real-world failure recovery Scale Milvus clusters to support large datasets and high-concurrency traffic Implement different multi-tenant strategies in Milvus Build AI applications using Milvus with LangChainWho this book is for:This book is for database practitioners looking to get started with Milvus and build their expertise in vector data and vector search. It's particularly suited for data analysts, data scientists, Milvus developers, system architects, tech enthusiasts, and researchers in vector database technologies.To get the most out of this book, you should have a foundational understanding of Go, Python, or C++, as well as a basic knowledge of database systems. Familiarity with Docker and Kubernetes is recommended.Table of Contents Introduction to Milvus Deploying Milvus in Multiple Ways Interacting with Milvus Configuring the Milvus System Understanding the Milvus Data Model and Architecture Data Modification and Maintenance in Milvus Reading Data in Milvus Compaction and Garbage Collection Exploring Milvus' Vector Engine How to Select a Vector Index Handling Complicated Search Requests Getting Started with Milvus Performance Benchmarking(N.B. Please use the Read Sample option to see further chapters.