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Discover how to capture user behavior insights beyond basic search results to continuously improve OpenSearch systems and enhance user experience through data-driven optimization.
Discover how search product managers can build strategic roadmaps that balance tactical demands with long-term vision while keeping stakeholders aligned and teams focused on impact.
Explore how AI inference becomes a query-native primitive in Elasticsearch, covering semantic retrieval, re-ranking, and new ES|QL primitives with practical examples.
Explore advanced retrieval systems comparing BM25, vector, hybrid models, and mixture-of-encoders for multi-attribute search with real-world evaluation metrics.
Discover how AI combats misinformation through search, intelligent assistants, and RAG systems to empower journalists with fact-checking tools and rebuild trust in news.
Explore AI agents through three expert perspectives: investment hype, user needs vs promises, and technical limitations to build practical solutions over possibilities.
Discover how to transform e-commerce search with federated architecture, improving latency by triple digits while cutting costs 20% and boosting conversions for better customer experience.
Discover how to evaluate multimodal search systems using embedding models to measure semantic relevance across text and images, with practical open-source tools for optimization.
Discover a revolutionary approach to billion-scale hybrid retrieval that unifies dense & sparse vectors, keywords, and filters in a single distributed query without separate indexes.
Discover how LLM-based agents automate search engine tuning through interleaved A/B testing, making optimization faster and more accurate than manual methods.
Discover how AI-fueled automation transforms search value propositions, unlocking ROI for long-tail use cases and agentic users in this keynote on modern search relevance strategies.
Discover how to build scalable hybrid image search systems combining visual embeddings, LLM-based lexical search, and knowledge graphs for 10M+ products at industrial scale.
Discover practical strategies for implementing hybrid search systems that serve both RAG and conventional search, including query design, latency control, and enterprise rollout challenges.
Discover practical strategies for enhancing retrieval relevance in RAG systems through real-world SIGIR LiveRAG challenge insights and synthetic data generation techniques.
Discover how to build embedding-aware context retrieval systems that enhance local LLM memory using Python, semantic similarity, and efficient recall mechanisms for coherent conversations.
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