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Doug Turnbull - Staff Relevance Engineer, Shopify - Search as a constant experimentation cycle
Vector Podcast
Embracing Hybrid Retrieval for Search Systems
The future of search systems may lean towards hybrid retrieval approaches, combining traditional filters with dense retrieval as a missing piece in search systems. Dense vectors can enhance recall while sparse vector techniques filter and re-rank efficiently. Despite advancements in dense vector techniques, established platforms like Elastic Search and Solr with their large user bases are likely to integrate these new functionalities rather than being replaced. This fusion of new and existing systems is anticipated to optimize performance for most search system requirements, focusing on enhancing current capabilities rather than complete system replacements.
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