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Discover how Yelp enhances search results using LLM-powered annotations, focusing on review highlights and business information to improve user experience and search relevance at scale.
Discover how Knowunity leverages LLMs to enhance search functionality for Gen Z students, from AI-powered content summarization to intelligent question generation and knowledge graph construction.
Master practical techniques for training and optimizing embedding models for production-ready vector search, covering data quality, loss functions, and efficient updating strategies.
Discover how Entity Resolution enhances RAG systems for LLMs, improving accuracy when handling structured enterprise data like customer records through real-time unified data processing.
Explore how Nixiesearch leverages Lucene over S3 to create a simplified, serverless search engine with built-in AI capabilities, including RAG and text+image embeddings for modern search solutions.
Explore vector search at billion-scale through Milvus, understanding distributed systems architecture, indexing strategies, and scalability solutions for unstructured data processing.
Master hybrid search optimization techniques in OpenSearch through hands-on configuration, data indexing, baseline creation, and dynamic modeling approaches for improved search relevance.
Explore cutting-edge ML and LLM techniques to revolutionize product search, from query understanding to result re-ranking. Discover how to optimize retrieval quality using innovative approaches in a retail scenario.
Explore the development of a multimodal LLM-based chatbot for enhanced housing search, featuring contrastive vision-language models and innovative AI technologies to streamline user experiences in real estate.
Explore the balance between precision and recall in e-commerce search, examining user perception, business metrics, and modern techniques like vector search. Learn strategies to optimize search relevance and user experience.
Explore ColPali, a novel retrieval model using Vision Language Models to embed entire PDF pages, improving retrieval quality and simplifying extraction processes for complex document formats.
Discover how OLX implemented LTR Framework to automate ranking experiments across multiple countries and categories, enabling rapid testing and accelerating platform growth through improved user relevance.
Explore innovative re-ranking techniques that improve search efficiency and effectiveness. Learn about alternatives to cascading approaches and their impact on vector search and heavy-weight re-rankers.
Unlock the power of user behavior insights to optimize search relevance. Learn to capture clickstream data, analyze user interactions, and continuously improve search strategies for better user experiences.
Explore the evolving landscape of AI-powered search and information retrieval, examining new concepts and their relationships to traditional techniques in this insightful keynote presentation.
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