Vector Search for Practitioners with Elastic

Vector Search for Practitioners with Elastic

eBook Details:

  • Paperback: 240 pages
  • Publisher: WOW! eBook (November 30, 2023)
  • Language: English
  • ISBN-10: 1805121022
  • ISBN-13: 978-1805121022

eBook Description:

Vector Search for Practitioners with Elastic: Optimize your search capabilities in Elastic by operationalizing and fine-tuning vector search and enhance your search relevance while improving overall search performance

While natural language processing (NLP) is largely used in search use cases, this book aims to inspire you to start using vectors to overcome equally important domain challenges like observability and cybersecurity. The chapters focus mainly on integrating vector search with Elastic to enhance not only their search but also observability and cybersecurity capabilities.

The book begins by teaching you about NLP and the functionality of Elastic in NLP processes. Next, you’ll delve into resource requirements and find out how vectors are stored in the dense-vector type along with specific page cache requirements for fast response times. As you advance, you’ll discover various tuning techniques and strategies to improve machine learning model deployment, including node scaling, configuration tuning, and load testing with Rally and Python. You’ll also cover techniques for vector search with images, fine-tuning models for improved performance, and the use of clip models for image similarity search in Elasticsearch. Finally, you’ll explore retrieval-augmented generation (RAG) and learn to integrate ChatGPT with Elasticsearch to leverage vectorized data, ELSER’s capabilities, and RRF’s refined search mechanism.

  • Optimize performance by harnessing the capabilities of vector search
  • Explore image vector search and its applications
  • Detect and mask personally identifiable information
  • Implement log prediction for next-generation observability
  • Use vector-based bot detection for cybersecurity
  • Visualize the vector space and explore Search.Next with Elastic
  • Implement a RAG-enhanced application using Streamlit

By the end of this Vector Search for Practitioners with Elastic NLP book, you’ll have all the necessary skills needed to implement and optimize vector search in your projects with Elastic.


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