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Vector Search for Practitioners with Elastic

You're reading from   Vector Search for Practitioners with Elastic A toolkit for building NLP solutions for search, observability, and security using vector search

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781805121022
Length 240 pages
Edition 1st Edition
Languages
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Authors (2):
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Jeff Vestal Jeff Vestal
Author Profile Icon Jeff Vestal
Jeff Vestal
Bahaaldine Azarmi Bahaaldine Azarmi
Author Profile Icon Bahaaldine Azarmi
Bahaaldine Azarmi
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Table of Contents (17) Chapters Close

Preface 1. Part 1:Fundamentals of Vector Search FREE CHAPTER
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 16. Other Books You May Enjoy

Preface

Hello, and welcome to the dynamic world of Vector Search with Elastic—a realm where the precision and power of vector-based search technologies redefine the boundaries of data analysis and retrieval. In this rapidly evolving landscape, Elastic is a pivotal platform, transforming the way we interact with and understand large datasets across various domains. In this book, we will explore vectors and embeddings that are central to modern machine learning and are revolutionizing search functionalities within Elasticsearch. From the basic introduction of vector concepts to their advanced applications in cybersecurity and conversational AI, each chapter is a step deeper into this intriguing world.

The journey through this book is not just about understanding the technicalities; it’s about appreciating the broader impact of these technologies. We cover how vectors enhance image search, bringing a new level of precision and relevance. We look into the critical role of vectors in safeguarding sensitive data and explore their growing significance in the context of observability, where they simplify and enhance system monitoring. A key aspect of this journey is the practical application of these concepts. The book not only addresses the theoretical underpinnings but also provides hands-on insights into implementing these solutions. Whether it’s tuning the performance of Elasticsearch, managing complex models, or integrating advanced features like Retrieval Augmented Generation, the chapters offer a comprehensive guide to leverage the full potential of Elastic Vector Search.

Drawing from a rich well of experience and real-world applications, this book is not just a technical guide but a window into the future of data search and analysis. As the landscape of data and technology continues to evolve, the insights and knowledge shared here will be invaluable for anyone looking to stay ahead in the field of search and data analysis.

As you read this book, you’ll learn about Elastic’s features and see how vector search is changing the way we handle data. This book is written for data professionals like you, providing clear, useful information to improve your skills in this exciting area.

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