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Elastic Stack 8.x Cookbook

You're reading from Elastic Stack 8.x Cookbook Over 80 recipes to perform ingestion, search, visualization, and monitoring for actionable insights

Product type Paperback

Published in Jun 2024

Publisher Packt

ISBN-13 9781837634293

Length 688 pages

Edition 1st Edition

Tools

Elasticsearch

Concepts

Enterprise Search

Authors (2):

Yazid Akadiri

Huage Chen

View More author details

Table of Contents (16) Chapters

Preface

1. Chapter 1: Getting Started – Installing the Elastic Stack

2. Chapter 2: Ingesting General Content Data FREE CHAPTER

3. Chapter 3: Building Search Applications

4. Chapter 4: Timestamped Data Ingestion

5. Chapter 5: Transform Data

6. Chapter 6: Visualize and Explore Data

7. Chapter 7: Alerting and Anomaly Detection

8. Chapter 8: Advanced Data Analysis and Processing

9. Chapter 9: Vector Search and Generative AI Integration

10. Chapter 10: Elastic Observability Solution

11. Chapter 11: Managing Access Control

12. Chapter 12: Elastic Stack Operation

13. Chapter 13: Elastic Stack Monitoring

14. Index

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15. Other Books You May Enjoy

Vector Search and Generative AI Integration

In previous chapters, we learned how to build traditional search applications using Query DSL and how to import third-party natural language processing (NLP) models for advanced data processing. In this chapter, we will expand upon these techniques with the latest features of Elastic Stack 8, which include vector search, hybrid search, and integrations with large language models (LLMs), to develop advanced search applications and sophisticated chatbot applications powered by Generative AI. Table 9.1 shows different search strategies supported in Elastic Stack 8 and their use cases:

Search strategies	Use cases
Lexical search (also known as BM25 search; BM stands for best matching)	Traditional search applications based on keyword matching
Vector search ...

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Authors (2)

Huage Chen

Huage Chen

Huage Chen is a member of Elastic's customer engineering team and has been with Elastic for over five years, helping users throughout Europe to innovate and implement cloud-based solutions for search, data analysis, observability, and security. Before joining Elastic, he worked for 10 years in web content management, web portals, and digital experience platforms.

See other products by Huage Chen

Yazid Akadiri

Yazid Akadiri

Yazid Akadiri has been a solutions architect at Elastic for over four years, helping organizations and users solve their data and most critical business issues by harnessing the power of the Elastic Stack. At Elastic, he works with a broad range of customers, with a particular focus on Elastic observability and security solutions. He previously worked in web services-oriented architecture, focusing on API management and helping organizations build modern applications.

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