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Neural Search - From Prototype to Production with Jina

You're reading from Neural Search - From Prototype to Production with Jina

Product type Book

Published in Oct 2022

Publisher Packt

ISBN-13 9781801816823

Pages 188 pages

Edition 1st Edition

Languages

Concepts

Authors (6):

Jina AI

Bo Wang

Cristian Mitroi

Feng Wang

Shubham Saboo

Susana Guzmán

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Table of Contents (13) Chapters

Preface

Part 1: Introduction to Neural Search Fundamentals

Chapter 1: Neural Networks for Neural Search

Chapter 2: Introducing Foundations of Vector Representation

Chapter 3: System Design and Engineering Challenges

Part 2: Introduction to Jina Fundamentals

Chapter 4: Learning Jina’s Basics

Chapter 5: Multiple Search Modalities

Part 3: How to Use Jina for Neural Search

Chapter 6: Building Practical Examples with Jina

Chapter 7: Exploring Advanced Use Cases of Jina

Index

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Summary

This chapter introduced the main concepts in Jina: Document, DocumentArray, Flow, and Executor. You should now have an overview of what each of those concepts are, why they are important, and how they relate to each other.

Besides understanding the theory of why Document, DocumentArray, Flow, and Executor are important while building your search engine, you should also be able to create a simple Document and assign its corresponding attributes. As you are done with this chapter, you should also be able to create your own Executor and spin up a basic Flow.

You will use all of this knowledge in the next chapter, where you will learn how to integrate these concepts together.

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Authors (6)

Jina AI

Jina AI is a neural search company that provides cloud-native neural search solutions powered by AI and deep learning. It provides an open-source neural search ecosystem for businesses and developers, enabling everyone to search for information in all kinds of data with high availability and scalability.

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Bo Wang

Bo Wang is a machine learning engineer at Jina AI. He has a background in computer science, especially interested in the field of information retrieval. In the past years, he has been conducting research and engineering work on search intent classification, search result diversification, content-based image retrieval, and neural information retrieval. At Jina AI, Bo is working on developing a platform for automatically improving search quality with deep learning. In his spare time, he likes to play with his cats, watch anime, and play mobile games.

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Cristian Mitroi

Cristian Mitroi is a machine learning engineer with a wide breadth of experience in full stack, from infrastructure to model iteration and deployment. His background is based in linguistics, which led to him focusing on NLP. He also enjoys, and has experience in, teaching and interacting with the community, and has given workshops at various events. In his spare time, he performs improv comedy and organizes too many pen-and-paper role-playing games.

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Feng Wang

Feng Wang is a machine learning engineer at Jina AI. He received his Ph.D. from the department of computer science at the Hong Kong Baptist University in 2018. He has been a full-time R&D engineer for the past few years, and his interests include data mining and artificial intelligence, with a particular focus on natural language processing, multi-modal representation learning, and recommender systems. In his spare time, he likes climbing, hiking, and playing mobile games.

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Shubham Saboo

Shubham Saboo has taken on multiple roles, from a data scientist to an AI evangelist, at renowned firms across the globe, where he was involved in building organization-wide data strategies and technology infrastructure to create and scale data teams from scratch. His work as an AI evangelist has led him to build communities and reach out to a broader audience to foster the exchange of ideas and thoughts in the burgeoning field of AI. As part of his passion for learning new things and sharing knowledge with the community, he writes technical blogs on the advancements in AI and its economic implications. In his spare time, you can find him traveling the world, which enables him to immerse himself in different cultures and refine his worldview.

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Susana Guzmán

Susana Guzmán is the product manager at Jina AI. She has a background in computer science and for several years was working at different firms as a software developer with a focus on computer vision, working with both C++ and Python. She has a big interest in open source, which was what led her to Jina, where she started as a software engineer for 1 year until she got a clear overview of the product, which made her make the switch from engineering to PM. In her spare time, she likes to cook food from different cuisines around the world, looking for her new favorite dish.

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