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Explore how AMBOSS developed and evaluated advanced search features like knowledge panels and vector search for medical information platforms without traditional metrics.
Explore advanced LLM ensemble techniques for search relevance engineering, moving beyond single judges to multi-strategy systems that guide feature development and optimization.
Explore building conversational e-commerce search using LLMs to create relevance formulas that balance user preferences like price, reliability, and personal taste through tensor-based scoring.
Discover real-world strategies for managing billion-scale vector databases in Elasticsearch and OpenSearch, moving beyond semantic search hype to tackle scalability and performance challenges.
Discover how to build multi-agent systems that automatically extract insights from user discussions across Discord, GitHub, and other platforms using open-source tools like Milvus and LangChain.
Explore advanced AI analytics on unstructured data using Aryn, moving beyond RAG to perform complex semantic analysis at scale with visual AI models and LLMs.
Explore how Mercari re-architected their search system using AI and LLMs, covering end-to-end architecture, successful applications, and business ROI considerations for e-commerce.
Discover how to optimize hybrid search using machine learning for dynamic query adaptation, achieving 7%+ improvements in search quality metrics through data-driven parameter tuning.
Explore cutting-edge search and AI techniques through rapid-fire presentations covering vector databases, RAG optimization, quantization methods, and emerging search technologies.
Explore innovative Synthetic Raters as cost-effective alternatives to human experts for evaluating AI-generated content across medicine, law, and finance domains.
Discover how to evolve from traditional keyword search to AI-powered solutions, covering semantic expansion, KNN search, Learning to Rank, and practical implementation challenges.
Discover how Moody's automated semantic search evaluation using LLM judges, achieving 80% agreement with experts while cutting experiment time from days to minutes.
Explore how AI reshapes work, creation, and innovation for technologists, learning practical habits to nurture inventive thinking and thrive in an AI-permeated future.
Discover how lexical search enhances RAG workflows, solving semantic search limitations with precise matching, transparent results, and practical implementation techniques.
Discover how to automate search evaluation using AI personas that simulate diverse users, eliminating manual test cases while ensuring dynamic coverage across multi-modal content.
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