AI-Powered Search, Video Edition

In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.

Apply cutting-edge machine learning techniques—from crowdsourced relevance and knowledge graph learning, to Large Language Models (LLMs)—to enhance the accuracy and relevance of your search results.

Delivering effective search is one of the biggest challenges you can face as an engineer. AI-Powered Search is an in-depth guide to building intelligent search systems you can be proud of. It covers the critical tools you need to automate ongoing relevance improvements within your search applications.

Inside you’ll learn modern, data-science-driven search techniques like

Semantic search using dense vector embeddings from foundation models
Retrieval augmented generation (RAG)
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
Semantic query parsing, query-sense disambiguation, and query intent classification
Implementing machine-learned ranking models (Learning to Rank)
Building click models to automate machine-learned ranking
Generative search, hybrid search, multimodal search, and the search frontier

AI-Powered Search will help you build the kind of highly intelligent search applications demanded by modern users. Whether you’re enhancing your existing search engine or building from scratch, you’ll learn how to deliver an AI-powered service that can continuously learn from every content update, user interaction, and the hidden semantic relationships in your content. You’ll learn both how to enhance your AI systems with search and how to integrate large language models (LLMs) and other foundation models to massively accelerate the capabilities of your search technology.

About the Technology
Modern search is more than keyword matching. Much, much more. Search that learns from user interactions, interprets intent, and takes advantage of AI tools like large language models (LLMs) can deliver highly targeted and relevant results. This book shows you how to up your search game using state-of-the-art AI algorithms, techniques, and tools.

About the Book
AI-Powered Search teaches you to create a search that understands natural language and improves automatically the more it is used. As you work through dozens of interesting and relevant examples, you’ll learn powerful AI-based techniques like semantic search on embeddings, question answering powered by LLMs, real-time personalization, and Retrieval Augmented Generation (RAG).

What’s Inside
Sparse lexical and embedding-based semantic search
Question answering, RAG, and summarization using LLMs
Personalized search and signals boosting models
Learning to Rank, multimodal, and hybrid search