Production Vector Databases (Paperback)
Idioma: inglés
Editorial: Independently Published, 2026
- Tapa blanda
- Nuevo
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Vendedor de IberLibro desde 12 de octubre de 2005
Condición: Nuevo
EUR 29,49
Cantidad disponible: 1 disponible
Añadir al carritoDescripción del artículo del vendedor
Paperback. Modern AI systems are only as powerful as their ability to retrieve the right information at the right time. As applications move beyond simple chatbots into semantic search engines, recommendation systems, RAG pipelines, and autonomous AI agents, vector databases have become the core infrastructure behind intelligent retrieval.Production Vector Databases is a practical, engineering-focused guide to building high-performance similarity search and retrieval systems that work at scale. This book goes far beyond theory. It breaks down how real production systems are designed, optimized, deployed, and maintained using tools like FAISS, Milvus, Pinecone, Weaviate, and modern orchestration frameworks.Inside, you will learn how to design and implement vector-based architectures that power real AI applications, from embedding pipelines to distributed search systems and cloud-native deployments. Every concept is explained with production-level clarity and supported with practical code examples that reflect real engineering environments.This book is written for engineers who want to move from understanding vector search to building systems that can handle real-world traffic, real data volumes, and real performance constraints.It is especially useful for: AI engineers building retrieval-augmented generation (RAG) systems and agent memory layersMachine learning engineers working on semantic search, recommendation engines, and embedding pipelinesBackend engineers transitioning into AI infrastructure and distributed systemsData engineers responsible for large-scale indexing, storage, and retrieval pipelinesTechnical founders and builders creating AI-powered products and SaaS platformsAdvanced learners who want to understand how production vector databases actually work under the hoodThe book walks through the full lifecycle of a retrieval system. It starts from embeddings and similarity search fundamentals, then moves into indexing strategies, approximate nearest neighbor algorithms, and scalable vector storage architectures. From there, it progresses into production topics such as distributed search, replication, fault tolerance, caching, observability, security, and cost optimization.You will also learn how to design complete AI retrieval platforms using modern infrastructure tools, including Docker, Kubernetes, and cloud services. The focus is not just on building systems that work, but systems that are stable, efficient, and ready for production deployment.Unlike introductory materials, this book focuses on engineering decisions that matter in real systems: how to balance speed and accuracy, how to reduce infrastructure costs at scale, how to maintain recall under heavy optimization, and how to design architectures that remain flexible as models and workloads evolve.By the end of this book, you will understand how large-scale vector retrieval systems are built and how to design your own production-ready AI infrastructure from scratch.If you are serious about building scalable AI systems that go beyond prototypes and into real-world production, this book gives you the architectural thinking, implementation detail, and engineering depth required to get there. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
N° de ref. del artículo 9798184203072
- Título
- Production Vector Databases (Paperback)
- Autor
- Godfrey Hasting
- Editorial
- Independently Published
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 13
- 9798184203072
Production Vector Databases is a practical, engineering-focused guide to building high-performance similarity search and retrieval systems that work at scale. This book goes far beyond theory. It breaks down how real production systems are designed, optimized, deployed, and maintained using tools like FAISS, Milvus, Pinecone, Weaviate, and modern orchestration frameworks.
Inside, you will learn how to design and implement vector-based architectures that power real AI applications, from embedding pipelines to distributed search systems and cloud-native deployments. Every concept is explained with production-level clarity and supported with practical code examples that reflect real engineering environments.
This book is written for engineers who want to move from understanding vector search to building systems that can handle real-world traffic, real data volumes, and real performance constraints.
It is especially useful for:
- AI engineers building retrieval-augmented generation (RAG) systems and agent memory layers
- Machine learning engineers working on semantic search, recommendation engines, and embedding pipelines
- Backend engineers transitioning into AI infrastructure and distributed systems
- Data engineers responsible for large-scale indexing, storage, and retrieval pipelines
- Technical founders and builders creating AI-powered products and SaaS platforms
- Advanced learners who want to understand how production vector databases actually work under the hood
The book walks through the full lifecycle of a retrieval system. It starts from embeddings and similarity search fundamentals, then moves into indexing strategies, approximate nearest neighbor algorithms, and scalable vector storage architectures. From there, it progresses into production topics such as distributed search, replication, fault tolerance, caching, observability, security, and cost optimization.
You will also learn how to design complete AI retrieval platforms using modern infrastructure tools, including Docker, Kubernetes, and cloud services. The focus is not just on building systems that work, but systems that are stable, efficient, and ready for production deployment.
Unlike introductory materials, this book focuses on engineering decisions that matter in real systems: how to balance speed and accuracy, how to reduce infrastructure costs at scale, how to maintain recall under heavy optimization, and how to design architectures that remain flexible as models and workloads evolve.
By the end of this book, you will understand how large-scale vector retrieval systems are built and how to design your own production-ready AI infrastructure from scratch.
If you are serious about building scalable AI systems that go beyond prototypes and into real-world production, this book gives you the architectural thinking, implementation detail, and engineering depth required to get there.
“Sinopsis” puede pertenecer a otra edición de este título.
Grand Eagle Retail
Bensenville, IL, Estados Unidos de America
Vendedor de IberLibro desde 12 de octubre de 2005
Tarifas de envío en Estados Unidos de America
| Artículo | De 6 a 14 días hábiles | De 6 a 16 días hábiles |
|---|---|---|
| Primer artículo | EUR 0,00 | EUR 0,00 |
Métodos de pago
Información empresarial del vendedor
APOLLO ONLINE CORP.
605 Geddes Street
Wilmington, DE Estados Unidos de America 19805
Condiciones de venta
We guarantee the condition of every book as it¿s described on the Abebooks web sites. If you¿ve changed
your mind about a book that you¿ve ordered, please use the Ask bookseller a question link to contact us
and we¿ll respond within 2 business days.
Books ship from California and Michigan.
Derecho al desistimiento
Si es un consumidor, puede rescindir el contrato de acuerdo con lo siguiente. Por consumidor se entiende cualquier persona física que actúe con fines ajenos a su actividad comercial, empresarial, oficio o profesión.
Información sobre el derecho de desistimiento
Derecho legal de desistimiento
Tiene derecho a rescindir este contrato en un plazo de 14 días sin dar ningún motivo.
El periodo de desistimiento vencerá a los 14 días desde que usted, o un tercero que no sea el transportista e indicado por usted, adquiera la posesión física del último bien o del último lote o pieza.
Para ejercer el derecho de desistimiento, complete de forma electrónica y envíe una declaración clara en nuestro sitio web, desde "Mis compras" en "Mi cuenta". Le enviaremos sin demora un acuse de recibo de dicho desistimiento a través de un soporte duradero (por ejemplo, por correo electrónico).
Para cumplir con el plazo de desistimiento, basta con que envíe su comunicación relativa al ejercicio del derecho de desistimiento antes de que venza el periodo de desistimiento.
Efectos del desistimiento
Si rescinde este contrato, le reembolsaremos todos los pagos que hayamos recibido de usted, incluidos los gastos de envío (excepto los gastos adicionales que surjan si elige un tipo de envío que no sea el tipo de envío estándar más económico que ofrecemos).
Podemos hacer una deducción del reembolso por la pérdida de valor de cualquier bien suministrado, si la pérdida es el resultado de una manipulación innecesaria por su parte.
Efectuaremos el reembolso sin demoras indebidas y, a más tardar, 14 días después de que se nos informe de su decisión de rescindir este contrato.
Efectuaremos el reembolso utilizando el mismo medio de pago que utilizó para la transacción inicial, a menos que haya acordado expresamente lo contrario; en cualquier caso, no incurrirá en ningún cargo como resultado de dicho reembolso.
Podremos retener el reembolso hasta que hayamos recibido los bienes o hasta que nos haya presentado una prueba de que los ha devuelto, lo que ocurra primero.
Deberá devolver los bienes o entregarlos a Grand Eagle Retail, Bensenville, Illinois, U.S.A., sin demoras indebidas y, en cualquier caso, en un plazo máximo de 14 días a partir del día en que nos comunique su desistimiento del presente contrato. El plazo se cumple si devuelve la mercancía antes de que venza el periodo de 14 días. Tendrá que asumir los gastos directos de devolución de los bienes. Usted solo es responsable de la disminución del valor de los bienes como resultado de una manipulación distinta a la necesaria para establecer la naturaleza, las características y el funcionamiento de los bienes.
Excepciones al derecho de desistimiento
El derecho de desistimiento no se aplica a lo siguiente:
- La entrega de periódicos, diarios o revistas, con la excepción de los contratos de suscripción; y
- El suministro de contenido digital que no se proporcione en un soporte tangible (por ejemplo, en un CD o DVD) si, al hacer el pedido, aceptó que podíamos empezar a entregarlo y que no podría desistir una vez iniciada la entrega.
Condiciones de envío
Orders usually ship within 2 business days. All books within the US ship free of charge. Delivery is 4-14 business days anywhere in the United States.
Books ship from California and Michigan.
If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.