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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.
Explore personalized search using multimodal latent behavioral embeddings. Learn to integrate user behavior into modern search retrieval pipelines for RAG and end-user search, enhancing relevance and user experience.
Learn to build production-ready RAG applications with insights from Moody's rapid development. Gain strategies for embedding, relevance measurement, cost management, and team organization for impactful AI-driven data interaction.
Explore Moody's journey from legacy SOLR to cloud-native AWS OpenSearch, enhancing search architecture with AI integration and custom relevance systems for improved cross-product usability and intelligent search experiences.
Learn techniques to measure and enhance retrieval quality in RAG systems, exploring alternatives to human expert judgments and methods for tuning retrieval to improve generated responses.
Explore how a simple Round Robin algorithm significantly improved search relevance in an enterprise application, challenging the notion that complex solutions are always better.
Explore multimodal RAG workflows for enhanced retrieval and generation, incorporating text, tables, and images. Live demo showcases PDF processing, vector database usage, and LLM-enriched responses.
Explore cutting-edge search and AI topics through lightning talks from Haystack US 2024. Gain insights on information retrieval, LLMs, vector search, semantic search, and more from industry experts.
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