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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
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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 16. Other Books You May Enjoy

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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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