Ai-Powered Search

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 modelsRetrieval augmented generation (RAG)Question answering and summarization combining search and LLMsFine-tuning transformer-based LLMsPersonalized search based on user signals and vector embeddingsCollecting user behavioral signals and building signals boosting modelsSemantic knowledge graphs for domain-specific learningSemantic query parsing, query-sense...