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Vector Search for Practitioners with Elastic

You're reading from Vector Search for Practitioners with Elastic

Product type Book

Published in Nov 2023

Publisher Packt

ISBN-13 9781805121022

Pages 240 pages

Edition 1st Edition

Languages

Concepts

Authors (2):

Bahaaldine Azarmi

Jeff Vestal

View More author details

Table of Contents (17) Chapters

Preface

1. Part 1:Fundamentals of Vector Search

2. Chapter 1: Introduction to Vectors and Embeddings

3. Chapter 2: Getting Started with Vector Search in Elastic

4. Part 2: Advanced Applications and Performance Optimization

5. Chapter 3: Model Management and Vector Considerations in Elastic

6. Chapter 4: Performance Tuning – Working with Data

7. Part 3: Specialized Use Cases

8. Chapter 5: Image Search

9. Chapter 6: Redacting Personal Identifiable Information Using Elasticsearch

10. Chapter 7: Next Generation of Observability Powered by Vectors

11. Chapter 8: The Power of Vectors and Embedding in Bolstering Cybersecurity

12. Part 4: Innovative Integrations and Future Directions

13. Chapter 9: Retrieval Augmented Generation with Elastic

14. Chapter 10: Building an Elastic Plugin for ChatGPT

15. Index

Why subscribe?

16. Other Books You May Enjoy

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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Vector Search for Practitioners with Elastic

Published in: Nov 2023 Publisher: Packt ISBN-13: 9781805121022

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Authors (2)

Bahaaldine Azarmi

Bahaaldine Azarmi, Global VP Customer Engineering at Elastic, guides companies as they leverage data architecture, distributed systems, machine learning, and generative AI. He leads the customer engineering team, focusing on cloud consumption, and is passionate about sharing knowledge to build and inspire a community skilled in AI.

See other products by Bahaaldine Azarmi

Jeff Vestal

Jeff Vestal has a rich background spanning over a decade in financial trading firms and extensive experience with Elasticsearch. He offers a unique blend of operational acumen, engineering skills, and machine learning expertise. As a Principal Customer Enterprise Architect, he excels at crafting innovative solutions, leveraging Elasticsearch's advanced search capabilities, machine learning features, and generative AI integrations, adeptly guiding users to transform complex data challenges into actionable insights.

See other products by Jeff Vestal

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