Neural Search – From Prototype to Production with Jina

Neural Search - From Prototype to Production with Jina

eBook Details:

  • Paperback: 188 pages
  • Publisher: WOW! eBook (October 14, 2022)
  • Language: English
  • ISBN-10: 1801816824
  • ISBN-13: 978-1801816823

eBook Description:

Neural Search – From Prototype to Production with Jina: Implement neural search systems on the cloud by leveraging Jina design patterns

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.

  • 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

By the end of this Neural Search – From Prototype to Production with Jina 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.

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