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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 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

Summary

As we close this chapter on integrating dynamic context into ChatGPT, it’s fitting to reflect on the broader themes we’ve tackled throughout this book. We embarked on a journey that weaved through the intricacies of large language models, the immense potential of Elasticsearch, and the power of contextual information to enhance user experiences.

Our venture into creating a ChatGPT plugin to dynamically pull the latest Elastic documentation represents the pinnacle of the union between static knowledge and live data. The ability to access, understand, and respond using the most recent information changes the essence of the dynamics of user-chatbot interactions, making them more timely, relevant, and impactful.

But this final chapter is merely one application in a vast landscape of possibilities. With tools such as Embedchain, the doors have been opened wide for developers and enthusiasts alike to innovate, experiment, and push the boundaries of what conversational...

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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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