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Neural Search - From Prototype to Production with Jina
Bo Wang, Cristian Mitroi, Feng Wang, Shubham Saboo, Susana Guzman
- 188 pages
- English
- ePUB (adapté aux mobiles)
- Disponible sur iOS et Android
Neural Search - From Prototype to Production with Jina
Bo Wang, Cristian Mitroi, Feng Wang, Shubham Saboo, Susana Guzman
Ă propos de ce livre
Implement neural search systems on the cloud by leveraging Jina design patternsKey Featuresâą Identify the different search techniques and discover applications of neural searchâą Gain a solid understanding of vector representation and apply your knowledge in neural searchâą Unlock deeper levels of knowledge of Jina for neural searchBook DescriptionSearch 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 learningâpowered 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 learnâą Understand how neural search and legacy search workâą Grasp the machine learning and math fundamentals needed for neural searchâą Get to grips with the foundation of vector representationâą Explore the basic components of Jinaâą Analyze search systems with different modalitiesâą Uncover the capabilities of Jina with the help of practical examplesWho this book is forIf 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.
Foire aux questions
Informations
Table des matiĂšres
- Neural Search â From Prototype to Production with Jina
- Contributors
- Preface
- Part 1: Introduction to Neural Search Fundamentals
- 1
- 2
- 3
- Part 2: Introduction to Jina Fundamentals
- 4
- 5
- Part 3: How to Use Jina for Neural Search
- 6
- 7
- Index
- Other Books You May Enjoy