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Key benefits

Install, configure, and optimize the ChatGPT-Elasticsearch plugin with a focus on vector data

Learn how to load transformer models, generate vectors, and implement vector search with Elastic

Develop a practical understanding of vector search, including a review of current vector databases

Purchase of the print or Kindle book includes a free PDF eBook

Description

While natural language processing (NLP) is largely used in search use cases, this book aims to inspire you to start using vectors to overcome equally important domain challenges like observability and cybersecurity. The chapters focus mainly on integrating vector search with Elastic to enhance not only their search but also observability and cybersecurity capabilities. The book, which also features a foreword written by the founder of Elastic, begins by teaching you about NLP and the functionality of Elastic in NLP processes. Here you’ll delve into resource requirements and find out how vectors are stored in the dense-vector type along with specific page cache requirements for fast response times. As you advance, you’ll discover various tuning techniques and strategies to improve machine learning model deployment, including node scaling, configuration tuning, and load testing with Rally and Python. You’ll also cover techniques for vector search with images, fine-tuning models for improved performance, and the use of clip models for image similarity search in Elasticsearch. Finally, you’ll explore retrieval-augmented generation (RAG) and learn to integrate ChatGPT with Elasticsearch to leverage vectorized data, ELSER's capabilities, and RRF's refined search mechanism. By the end of this NLP book, you’ll have all the necessary skills needed to implement and optimize vector search in your projects with Elastic.

Who is this book for?

If you're a data professional with experience in Elastic observability, search, or cybersecurity and are looking to expand your knowledge of vector search, this book is for you. This book provides practical knowledge useful for search application owners, product managers, observability platform owners, and security operations center professionals. Experience in Python, using machine learning models, and data management will help you get the most out of this book.

What you will learn

Optimize performance by harnessing the capabilities of vector search

Explore image vector search and its applications

Detect and mask personally identifiable information

Implement log prediction for next-generation observability

Use vector-based bot detection for cybersecurity

Visualize the vector space and explore Search.Next with Elastic

Implement a RAG-enhanced application using Streamlit

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Vector Search for Practitioners with Elastic

€26.99

€37.99

€37.99

Total € 102.97

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Shipments are not trackable

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Amazon verified reviews

Alison Bernardes Jul 08, 2024

Unfortunately we don't have physical copy available in Brazil, had to buy in US which increased a bit the costs, but still worth every single penny.

Amazon Verified review

Camille CG Feb 19, 2024

An accessible and practical book on Vector Search technologies, in the context of the Elastic ecosystem and wider technological landscape.As someone who has not explored the intricacies of Vector Search, I found the structure to be conducive to a holistic understanding of the domain - with the book providing an introduction to foundational components, followed by sophisticated and applicable implementation examples and techniques and follow-along tasks, to reinforce learnings.Moreover, with an emphasis on applicability in arenas like observability, and cyber-security and extensive coverage of the current landscape and future directions of search technologies, I would highly recommend as a read for both practitioners and theorists alike.

Alex Apr 23, 2024

Best resource out there for the latest and greatest that Elasticsearch offers in the AI search space.

William McKnight Jan 25, 2024

This book is a great resource for data professionals of all levels. It starts with the basics of vector search and embeddings and gradually progresses to advanced topics like performance tuning and building Elastic plugins. The authors provide clear explanations, code examples, and practical exercises, making it easy to learn and apply the concepts. I highly recommend this book to anyone looking to explore the exciting world of vector search and Elastic.

IslandGuy Dec 11, 2023

A much needed book for beginners and experienced Elastic users. You will go into the technical details of vector search with an emphasis on use cases.

Vector Search for Practitioners with Elastic: A toolkit for building NLP solutions for search, observability, and security using vector search

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