### Free downloadable text books AI-Powered Search 9781617296970 [](http://get-pdfs.com/download.php?group=book&from=gmbinder.com&id=716897&lnk=1202) To Download or Read This book click on the link button below : ➡ [**[Download book](http://get-pdfs.com/download.php?group=book&from=gmbinder.com&id=716897&lnk=1202 "Download book")**] ➡ [**[Read online book](http://get-pdfs.com/download.php?group=book&from=gmbinder.com&id=716897&lnk=1202 "Read online book")**] ### AI-Powered Search Trey Grainger, Doug Turnbull, Max Irwin ebook * Page: 387 * Format: pdf / epub / kindle * ISBN: 9781617296970 * Publisher: Manning Build search engines powered by the latest machine learning techniques and large language models. AI-Powered Search shows you how to build cutting-edge search engines that continuously learn from both your users and your content and drive more domain-aware and intelligent search. Inside you’ll learn modern, data-science-driven search techniques like: Semantic search using dense vector embeddings from foundation models Retrieval augmented generation Question answering and summarization combining search and LLMs Fine-tuning transformer-based LLMs Personalized search based on user signals and vector embeddings Collecting user behavioral signals and building signals boosting models Semantic knowledge graphs for domain-specific learning Implementing machine-learned ranking models (learning to rank) Building click models to automate machine-learned ranking Generative search, hybrid search, and the search frontier Today’s search engines are expected to be smart, understanding the nuances of natural language queries, as well as each user’s preferences and context. This book empowers you to build search engines that take advantage of user interactions and the hidden semantic relationships in your content to automatically deliver better, more relevant search experiences. You’ll even learn how to integrate large language models (LLMs) like GPT and other foundation models to massively accelerate the capabilities of your search technology. About the book AI-Powered Search is a hands-on guide to applying leading-edge data science techniques to search. It teaches you how to build search engines that automatically understand the intent of your users’ queries in order to deliver significantly more relevant search results. You’ll use LLMs for embeddings, question answering, and results summarization, as well as learning how to fine tune them for the best results. Working through code in interactive notebooks, you’ll deploy intelligent AI-powered search systems that deliver real-time personalization and contextual understanding of each user, domain, and query through a self-learning search platform that continuously learns from evolving content and user interactions. About the reader For software developers and data scientists familiar with the basics of search engine technology. About the author Trey Grainger is the Founder of Searchkernel (AI-powered search), CTO of Presearch (decentralized web search), and former Chief Algorithms Officer and SVP of Engineering at Lucidworks (ecommerce, site, and enterprise search). Trey also co-authored Solr in Action (Manning 2014). Doug Turnbull is a Principal Engineer at Reddit (social discussion search), former Staff Relevance Engineer at Spotify (Ecommerce Search) and is the former Chief Technical Officer at OpenSource Connections. Doug also co-authored Relevant Search (Manning 2016). Max Irwin is the Founder of Max.io (AI model scaling) and former Managing Consultant at OpenSource Connections (search relevance consulting). How to Optimize for SGE, Google's AI Feature - Carnegie Dartlet In 2024, higher education content marketing faces major shifts with AI-powered search engines. Learn how to optimize higher ed websites for  What is AI-powered site search and why it's the future AI-powered site search is a conversational interface that gives human-like responses to visitors' queries. It understands the intent behind  AI-powered content search Learn how to build a generative-AI conversational search application capable of answering questions related to a project or product. The codebase for the book "AI-Powered Search" (Manning AI-Powered Search teaches you the latest machine learning techniques to build search engines that continuously learn from your users and your content to  AI-Powered Search Discover who we are, what we value, and how we work at Seismic. Learn More. ABOUT SEISMIC. AI-Powered Search: The Next Big Step in Profound's Evolution The Power of AI to Revolutionize Search on Profound. At Profound, we've harnessed the transformative power of cutting-edge AI-driven technology,  OpenAI Launching AI-Powered Search Engine OpenAI has unveiled SearchGPT, a new AI-powered search engine designed to access information from across the internet in real time. OpenAI Is Testing SearchGPT, an AI-Powered Search Engine OpenAI Is Testing an A.I.-Powered Search Engine. The prominent A.I. start-up said it planned to eventually fold the new technology into its  AI-Powered Search Overview. Build search engines powered by the latest machine learning techniques and large language models. AI-Powered Search shows you how to build cutting-  Differences between full-text and AI-powered search Meilisearch offers two types of search: full-text search and AI-powered search. This article explains their differences and intended use cases. Azure AI Search - Generative Search Azure AI Search is available through search units to provide capacity and throughput requested to set up and scale a search and retrieval engine. See Azure AI