Vector Search for Practitioners with Elastic: A toolkit for building NLP solutio

Description: Vector Search for Practitioners with Elastic by Bahaaldine Azarmi, Jeff Vestal, Shay Banon "This book delves into the practical applications of vector search in Elastic and embodies a broader philosophy. It underscores the importance of search in the age of Generative Al and Large Language Models. This narrative goes beyond the how to address the why - highlighting our belief in the transformative power of search and our dedication to pushing boundaries to meet and exceed customer expectations." Shay Banon Founder & CTO at ElasticKey FeaturesInstall, configure, and optimize the ChatGPT-Elasticsearch plugin with a focus on vector dataLearn how to load transformer models, generate vectors, and implement vector search with ElasticDevelop a practical understanding of vector search, including a review of current vector databasesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionWhile 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, which also features a foreword written by the founder of Elastic, begins by teaching you about NLP and the functionality of Elastic in NLP processes. Here youll 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, youll discover various tuning techniques and strategies to improve machine learning model deployment, including node scaling, configuration tuning, and load testing with Rally and Python. Youll 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, youll explore retrieval-augmented generation (RAG) and learn to integrate ChatGPT with Elasticsearch to leverage vectorized data, ELSERs capabilities, and RRFs refined search mechanism.By the end of this NLP book, youll have all the necessary skills needed to implement and optimize vector search in your projects with Elastic.What you will learnOptimize performance by harnessing the capabilities of vector searchExplore image vector search and its applicationsDetect and mask personally identifiable informationImplement log prediction for next-generation observabilityUse vector-based bot detection for cybersecurityVisualize the vector space and explore Search.Next with ElasticImplement a RAG-enhanced application using StreamlitWho this book is forIf youre a data professional with experience in Elastic observability, search, or cybersecurity and are looking to expand your knowledge of vector search, this book is for you. This book provides practical knowledge useful for search application owners, product managers, observability platform owners, and security operations center professionals. Experience in Python, using machine learning models, and data management will help you get the most out of this book. FORMAT Paperback CONDITION Brand New Author Biography 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. 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 Elasticsearchs advanced search capabilities, machine learning features, and generative AI integrations, adeptly guiding users to transform complex data challenges into actionable insights. Founder and CTO at Elastic Table of Contents Table of ContentsIntroduction to Vectors and EmbeddingsGetting started with Vector Search in ElasticModel Management and Vector Considerations in ElasticPerformance Tuning - Working with dataImage SearchRedacting Personal Identifiable Information Using ElasticsearchNext Generation of Observability Powered by VectorsThe Power of Vectors and Embedding in Bolstering CybersecurityRetrieval Augmented Generation With ElasticBuilding an Elastic Plugin for ChatGPT Details ISBN1805121022 Author Shay Banon Publisher Packt Publishing Limited Year 2023 ISBN-13 9781805121022 Format Paperback Publication Date 2023-11-30 Imprint Packt Publishing Limited Subtitle A toolkit for building NLP solutions for search, observability, and security using vector search Place of Publication Birmingham Country of Publication United Kingdom Audience General UK Release Date 2023-11-30 Pages 240 We've got this At The Nile, if you're looking for it, we've got it. 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