🔍 Exa introduces AI database-style web search

 


🔍 Exa introduces AI database-style web search



Image source: Exa


The Rundown: Search startup Exa just launched Websets, a new search engine that aims to transform the chaotic web into a structured database using embedding technology from large language models to create the ‘perfect web search’.


The details:


Unlike traditional keyword-based search engines, Exa encodes webpage content into embeddings that capture meaning rather than just matching terms.


The company has processed about 1B web pages, prioritizing depth of understanding over Google's trillion-page breadth.


Searches can take several minutes to process but return highly specific results lists spanning hundreds or thousands of entries.


The platform excels at complex searches, such as finding specific types of companies, people, or datasets that traditional search engines struggle with.


Websets is Exa’s first consumer-facing product, with the company also providing backend search services to enterprises.


Why it matters: While others race to weave AI models into classic search engines, Exa is rethinking search from the ground up. Though currently slower than normal search, this database-style approach could revolutionize how we find and organize web info — especially for surfacing deeper, specific patterns across the internet etake koredin

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