Ver Original
0 ratings
Modern Vector Databases: Mastering Databases for AI-Driven Applications and Big Data Insights
genuine image
Modern Vector Databases: Mastering Databases for AI-Driven Applications and Big Data Insights
This book is your comprehensive guide to mastering modern vector databases.
Modern Vector Databases: Mastering Databases for AI-Driven Applications and Big Data Insights
Artigo n.º: 107506654

Modern Vector Databases: Mastering Databases for AI-Driven Applications and Big Data Insights

Artigo n.º: 107506654

STD 674000

Detalhes do Preço

Excluindo custos de envio e alfandegários ( Os custos de envio e alfandegários serão calculados na finalização da compra )

*Todos os artigos serão importados de EUA

Em stock
EUA Importado da loja USA

Qtd.:

Encomende já e receba por volta de Quarta-feira, Setembro 02
Transação seguraTransação segura

A Ubuy trabalha arduamente para proteger a sua segurança e privacidade. O nosso sistema avançado de segurança de pagamentos garante a confidencialidade ao encriptar as suas informações durante a transmissão, utilizando os protocolos AES (Normas de Encriptação Avançada) e SSL (Camada de Sockets Seguros). Os seus dados de pagamento estão 100% seguros, pois não partilhamos os seus dados de pagamento com vendedores terceiros.

Os nossos principais Parceiros Logísticos
  • fedex
  • dhl
This book is your comprehensive guide to mastering modern vector databases.
Garantia U-Care:
Nenhuma
Selecione um plano
fast shipping

Fast
Shipping

free return

Devolução
gratuita*

Embalagem Segura

Embalagem Segura

Produtos 100% Originais

Produtos 100% Originais

pci-dss

Certificação PCI DSS

iso certified

Certificação ISO 27001

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of EUA store (110-120). Recommended power converters COMPRAR AGORA.

O que se Destaca

AI Optimization
Built specifically for AI-driven applications, this vector database optimizes performance, enabling faster data retrieval and analysis, perfect for machine learning and large-scale AI projects.
Scalability
Designed to handle big data efficiently, it scales seamlessly as your project grows, ensuring robust performance and minimum downtime under heavy loads, essential for enterprise-level applications.
Insights Generation
Delivers advanced analytics capabilities, transforming complex data into actionable insights, allowing users to make informed decisions quickly, essential for today’s data-centric businesses.

Detalhes do produto

Shop Modern Vector Databases: Mastering Databases for AI-Driven Applications and Big Data Insights online at a best price in São Tomé and Príncipe. B0DQVD3NDM
EditoraPublicado independentemente
Data de publicaçãoDecember 17, 2024
IdiomaInglês
Comprimento de impressão 220 pages
ISBN-13 979-8304055642
Peso do Item13.9 ounces (394.07 grams)
Dimensões6 x 0.5 x 9 inches (15.2 x 1.3 x 22.9 cm)

Quem Deverá Comprar?

Suitable For
  • Data Scientists

    Ideal for data scientists needing advanced tools for AI models and large dataset analysis with vector databases.

  • AI Developers

    Perfect for developers creating applications that require efficient data retrieval and processing using AI technologies.

  • Business Analysts

    Useful for analysts seeking insights from structured and unstructured data, leveraging modern database technology.

Not Suitable For
  • Beginner Programmers

    Not suitable for programmers without prior knowledge of databases or AI concepts, which may lead to confusion.

DESCRIÇÃO DO PRODUTO

Modern Vector Databases: Mastering Databases for AI-Driven Applications and Big Data Insights

Tem alguma Dúvida? Converse connosco

Perguntas e respostas do cliente

  • Pergunta: What is a modern vector database?

    Resposta: A modern vector database is designed to efficiently store, index, and retrieve high-dimensional data, typically used in AI-driven applications. Unlike traditional databases that manage structured data, vector databases focus on enabling fast similarity searches for tasks like image recognition, natural language processing, and recommendations. They leverage indexing techniques optimized for cosine similarity and Euclidean distance, making them ideal for applications handling vast amounts of unstructured data. For instance, if you're building a chatbot, using a vector database can help you quickly find relevant user queries among millions of existing data points.
  • Pergunta: How do vector databases enhance AI applications?

    Resposta: Vector databases significantly enhance AI applications by enabling rapid access to relevant information through high-dimensional similarity searches. This capacity allows AI models to retrieve and analyze vast datasets efficiently, facilitating tasks such as image classification or text generation. The ability to handle complex queries while providing real-time analytics makes them invaluable in environments where speed and accuracy are critical. For example, in e-commerce, these databases can power recommendation systems by instantly matching user preferences with product features.
  • Pergunta: What are the key features of modern vector databases?

    Resposta: Key features of modern vector databases include scalable storage solutions, efficient indexing algorithms like HNSW and IVFPQ, and support for advanced querying capabilities. They also often include built-in machine learning tools, allowing for the seamless integration of AI workflows. The combination of these features enables users to manage massive datasets while maintaining performance, making them versatile for various applications. For example, in healthcare, a vector database can help process patient data to identify trends or correlations in treatment outcomes.
  • Pergunta: Why should businesses invest in vector databases?

    Resposta: Businesses should invest in vector databases due to their ability to handle complex, high-dimensional data which is increasingly relevant in today's data-driven landscape. They provide the infrastructure necessary for advanced analytics and machine learning applications, transforming unstructured data into actionable insights. In sectors like finance, vector databases can be utilized to detect fraud patterns by swiftly analyzing transaction data against established benchmarks. This capability positions businesses to make informed decisions based on real-time data analysis.
  • Pergunta: What kinds of applications benefit from vector databases?

    Resposta: A range of applications benefits from vector databases, particularly those involving AI and machine learning. Industries such as e-commerce use them for personalized recommendations, while social media platforms leverage them for image and video content recognition. Additionally, healthcare can utilize these databases for patient diagnosis through pattern recognition in medical imaging. In any scenario where there is a need for rapid data retrieval and analysis of unstructured data, vector databases prove invaluable.
  • Pergunta: How does a vector database differ from a traditional relational database?

    Resposta: A vector database differs from a traditional relational database primarily in its data management focus. While relational databases handle structured data and use SQL for querying, vector databases are specialized for high-dimensional, unstructured data and optimized for similarity searches. They support more complex queries related to content-based information retrieval, making them ideal for AI applications. For instance, a vector database can quickly match similar images, whereas a relational database would struggle with such data formats.
  • Pergunta: Can vector databases be used alongside traditional databases?

    Resposta: Yes, vector databases can complement traditional databases, as each serves different purposes. While traditional databases manage structured data effectively, vector databases excel in handling unstructured or semi-structured data that require nuanced querying capabilities. Utilizing both allows organizations to benefit from the strengths of each – storing transactional records in a traditional system while using a vector database for powering recommendation engines or predictive analytics. This approach ensures a well-rounded data strategy that maximizes insight generation.
  • Pergunta: What challenges might arise when implementing vector databases?

    Resposta: Implementing vector databases can present challenges such as the need for specialized knowledge in data science and machine learning techniques. Additionally, organizations may need to overcome integration hurdles with existing systems, which could lead to data silos if not managed correctly. Ensuring proper indexing and efficient querying is also crucial to maximize performance. Companies should prepare by investing in training or hiring qualified personnel to streamline the transition and fully leverage the capabilities of vector databases.
  • Pergunta: What type of data can be stored in a vector database?

    Resposta: A vector database can store various types of unstructured or semi-structured data including text, images, audio, and video. The versatility of storing diverse data types allows businesses to apply sophisticated machine learning algorithms across different modalities, significantly enhancing analytical capabilities. For example, in a multimedia platform, a vector database can manage libraries of images and videos, enabling users to perform searches based on visual similarity or keyword matching.
  • Pergunta: Where can I buy Modern Vector Databases: Mastering Databases for AI-Driven Applications and Big Data Insights in São Tomé and Príncipe?

    Resposta: You can buy 'Modern Vector Databases: Mastering Databases for AI-Driven Applications and Big Data Insights' at Ubuy. Ubuy offers a reliable platform to find various products, including this book, and provides options for easy access to a wide range of titles. It's a great choice for purchasing the latest literature on advanced database technologies and practices.

Neural Networks Editorial Review

Nenhuma análise editorial encontrada

Avaliações e Classificações dos Clientes

1 classificações de clientes
  • 5 Estrela
    100%
  • 4 Estrela
    0%
  • 3 Estrela
    0%
  • 2 Estrela
    0%
  • 1 Estrela
    0%

Avaliar este produto

Partilhe as suas ideias com outros clientes

CONFIANÇA NA PLATAFORMA E SEGURANÇA DO COMPRADOR

trustpilot logo
4.2/5 9250 + reviews
Ler avaliações
MA
Mohammad
Comprador verificado

“Excellent quality and original too,when ubuy send original things I will appreciate that ,I very satisfied thank you”

23 July 2026 · via Trustpilot
CK
Chitra
Comprador verificado

“The order and delivery progress was communicated very well. Package arrived within the estimated time. Products arrived as expected in good condition.”

22-Jul-26 · via Trustpilot
K
kund
Comprador verificado

“Good supply of products. Safe payment methods, and shipment worldwide! Genuine products.”

23-Jul-26 · via Trustpilot
OO
Onesi
Comprador verificado

“Was my first time buying a product from Ubuy, but I found it so helpful. This is reliable. Gonna place a new order!”

22 July 2026 · via Trustpilot
SJ
SAO JOHN
Comprador verificado

“Ubuy is a great online platform to buy stuff. Reliable, fast delivery time and great value for money. I've been using Ubuy online shopping platform for three years now and will continue to do so.”

23 July 2026 · via Trustpilot
Checkout Seguro Entrega Global Devoluções Fáceis Produtos Genuínos

Histórico de preços do produto

Informação importante

  • Limitações: para produtos expedidos internacionalmente, tenha em atenção que qualquer garantia do fabricante pode não ser válida; opções de serviço do fabricante podem não estar disponíveis; manuais de produtos, instruções e avisos de segurança podem não estar nas línguas do país de destino; os produtos (e materiais que o acompanham) pode não ter sido concebido em conformidade com as normas, especificações e requisitos de rotulagem do país de destino; e os produtos podem não estar em conformidade com a voltagem e outras normas elétricas do país de destino (requerendo assim o uso de um adaptador ou conversor caso seja apropriado). O destinatário é responsável por garantir que o produto pode ser legalmente importado para o país de destino. Quando encomenda à Ubuy ou aos seus afiliados, o destinatário é o importador de registo e deve estar em conformidade com todas as leis e regulamentos do país de destino.
  • Nem todos os produtos listados na Ubuy estão à venda, uma vez que a Ubuy é um motor de busca global. Os produtos estão sujeitos a leis de exportação/comércio.

STD 674000

Encomende já e receba por volta de Quarta-feira, Setembro 02

Qtd.:

Transação seguraTransação segura

Em conformidade com a norma PCI DSS e com certificação ISO 27001:2022, com pagamentos encriptados e proteção total do comprador em todas as encomendas.

Os nossos principais Parceiros Logísticos
  • fedex
  • dhl
Entrega internacional mais rápida

Recursos e benefícios

  • Unlock the potential of AI-driven applications with modern vector databases.
  • Learn practical strategies and hands-on techniques for real-world implementations.
  • Discover advanced integrations with cutting-edge technologies.
  • Optimize performance for large-scale and real-time systems.
  • Explore real-world case studies across various industries.
  • Stay ahead with future trends and opportunities in AI and data science.

Ubuy Assurance

Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.