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Vector Search for Practitioners with Elastic
Vector Search for Practitioners with Elastic

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

By Bahaaldine Azarmi , Jeff Vestal
Mex$574.99 Mex$401.99
Book Nov 2023 240 pages 1st Edition
eBook
Mex$574.99 Mex$401.99
Print
Mex$717.99 Mex$537.99
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eBook
Mex$574.99 Mex$401.99
Print
Mex$717.99 Mex$537.99
Subscription
Free Trial

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Table of content icon View table of contents Preview book icon Preview Book

Vector Search for Practitioners with Elastic

Part 1:Fundamentals of Vector Search

Explore the foundational elements of vector search with Elastic in this section. Beginning with an introduction to vectors and embeddings, this part lays the groundwork to understand their role in data representation and search. This part is essential for grasping the basic concepts and methodologies that form the bedrock of advanced vector search techniques, tailored for newcomers and experienced practitioners alike.

This part has the following chapters:

  • Chapter 1, Introduction to Vectors and Embeddings
  • Chapter 2, Getting Started with Vector Search in Elastic
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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.

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

Product Details

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Publication date : Nov 30, 2023
Length 240 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781805121022
Category :
Concepts :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon AI Assistant (beta) to help accelerate your learning
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Nov 30, 2023
Length 240 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781805121022
Category :
Concepts :

Table of Contents

17 Chapters
Preface Chevron down icon Chevron up icon
1. Part 1:Fundamentals of Vector Search Chevron down icon Chevron up icon
2. Chapter 1: Introduction to Vectors and Embeddings Chevron down icon Chevron up icon
3. Chapter 2: Getting Started with Vector Search in Elastic Chevron down icon Chevron up icon
4. Part 2: Advanced Applications and Performance Optimization Chevron down icon Chevron up icon
5. Chapter 3: Model Management and Vector Considerations in Elastic Chevron down icon Chevron up icon
6. Chapter 4: Performance Tuning – Working with Data Chevron down icon Chevron up icon
7. Part 3: Specialized Use Cases Chevron down icon Chevron up icon
8. Chapter 5: Image Search Chevron down icon Chevron up icon
9. Chapter 6: Redacting Personal Identifiable Information Using Elasticsearch Chevron down icon Chevron up icon
10. Chapter 7: Next Generation of Observability Powered by Vectors Chevron down icon Chevron up icon
11. Chapter 8: The Power of Vectors and Embedding in Bolstering Cybersecurity Chevron down icon Chevron up icon
12. Part 4: Innovative Integrations and Future Directions Chevron down icon Chevron up icon
13. Chapter 9: Retrieval Augmented Generation with Elastic Chevron down icon Chevron up icon
14. Chapter 10: Building an Elastic Plugin for ChatGPT Chevron down icon Chevron up icon
15. Index Chevron down icon Chevron up icon
16. Other Books You May Enjoy Chevron down icon Chevron up icon

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