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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 Bahaaldine Azarmi
Profile icon Bahaaldine Azarmi
LinkedIn
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
Profile icon Jeff Vestal
LinkedIn
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
View More author details

Table of Contents (17) Chapters

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

Part 3: Specialized Use Cases

This section delves into the specialized applications of vector search across various domains. From image search to the intricacies of cybersecurity, it explores how vector search is uniquely adapted to different contexts. These chapters provide a detailed perspective on the versatility of vector search, demonstrating its wide-ranging impact and utility in addressing specific, industry-related challenges.

This part has the following chapters:

  • Chapter 5, Image Search
  • Chapter 6, Redacting Personal Identifiable Information Using Elasticsearch
  • Chapter 7, Next Generation of Observability Powered by Vectors
  • Chapter 8, The Power of Vectors and Embedding in Bolstering Cybersecurity
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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)

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Profile icon Bahaaldine Azarmi
LinkedIn
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
Profile icon Jeff Vestal
LinkedIn
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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