Neural Search – From Prototype to Production with Jina: Build deep learning–powered search systems that you can deploy and manage with ease

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Neural Search – From Prototype to Production with Jina: Build deep learning–powered search systems that you can deploy and manage with ease

 

  • Author:Bo WangCristian MitroiFeng WangShubham SabooSusana Guzman
  • Length: 188 pages
  • Edition: 1
  • Publisher: Packt Publishing
  • Publication Date: 2022-10-14
  • ISBN-10: 1801816824
  • ISBN-13: 9781801816823
  • Sales Rank: #92796 (See Top 100 Books)
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  • Buy Print:Buy from amazon



    Book Description

    Implement neural search systems on the cloud by leveraging Jina design patterns

    Key Features

    • Identify the different search techniques and discover applications of neural search
    • Gain a solid understanding of vector representation and apply your knowledge in neural search
    • Unlock deeper levels of knowledge of Jina for neural search

    Book Description

    Search is a big and ever-growing part of the tech ecosystem. Traditional search, however, has limitations that are hard to overcome because of the way it is designed. Neural search is a novel approach that uses the power of machine learning to retrieve information using vector embeddings as first-class citizens, opening up new possibilities of improving the results obtained through traditional search.

    Although neural search is a powerful tool, it is new and finetuning it can be tedious as it requires you to understand the several components on which it relies. Jina fills this gap by providing an infrastructure that reduces the time and complexity involved in creating deep learning–powered search engines. This book will enable you to learn the fundamentals of neural networks for neural search, its strengths and weaknesses, as well as how to use Jina to build a search engine. With the help of step-by-step explanations, practical examples, and self-assessment questions, you’ll become well-versed with the basics of neural search and core Jina concepts, and learn to apply this knowledge to build your own search engine.

    By the end of this deep learning book, you’ll be able to make the most of Jina’s neural search design patterns to build an end-to-end search solution for any modality.

    What you will learn

    • Understand how neural search and legacy search work
    • Grasp the machine learning and math fundamentals needed for neural search
    • Get to grips with the foundation of vector representation
    • Explore the basic components of Jina
    • Analyze search systems with different modalities
    • Uncover the capabilities of Jina with the help of practical examples

    Who this book is for

    If you are a machine learning, deep learning, or artificial intelligence engineer interested in building a search system of any kind (text, QA, image, audio, PDF, 3D models, or others) using modern software architecture, this book is for you. This book is perfect for Python engineers who are interested in building a search system of any kind using state-of-the-art deep learning techniques.

    中文:

    书名:神经搜索-使用Jina从原型到生产: 构建深度学习驱动的搜索系统,您可以轻松部署和管理

    通过利用Jina设计模式在云上实现神经搜索系统

    主要功能

    • 识别不同的搜索技术并发现神经搜索的应用
    • 深入了解向量表示并将您的知识应用于神经搜索
    • 解锁更深层次的Jina神经搜索知识

    图书描述

    搜索是技术生态系统中不断增长的重要组成部分。然而,传统搜索由于其设计方式而具有难以克服的局限性。神经搜索是一种新颖的方法,它利用机器学习的力量来使用矢量嵌入作为一流公民来检索信息,从而为改善通过传统搜索获得的结果开辟了新的可能性。

    尽管神经搜索是一种强大的工具,但它是新的,微调它可能很乏味,因为它需要您了解它所依赖的几个组件。Jina通过提供减少创建深度学习驱动的搜索引擎所涉及的时间和复杂性的基础架构来填补这一空白。本书将使您了解神经网络用于神经搜索的基础知识,其优点和缺点,以及如何使用Jina构建搜索引擎。借助循序渐进的解释、实际示例和自我评估问题,您将精通神经搜索和核心Jina概念的基础知识,并学会应用这些知识来构建自己的搜索引擎。

    在这本深度学习书的结尾,您将能够充分利用Jina的神经搜索设计模式,为任何模式构建端到端搜索解决方案。

    什么你会学到

    • 了解神经搜索和遗留搜索的工作原理
    • 掌握机器学习和数学基础知识
    • 掌握向量表示的基础
    • 探索吉娜的基本组成部分
    • 分析不同模式的搜索系统
    • 借助实例揭开Jina的能力

    这本书是为谁准备的

    如果您是机器学习,深度学习或人工智能工程师,有兴趣使用现代软件体系结构构建任何类型的搜索系统 (文本,质量保证,图像,音频,PDF,3D模型或其他),本书适合您。这本书非常适合有兴趣使用最先进的深度学习技术构建任何类型的搜索系统的Python工程师。

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