Research the web with SQL
Keenable SELECT answers a research question with one query instead of ten page reads.
Ordinary web search hands the model a list of links and leaves the reading, the extraction and the de-duplication to it. SELECT does that work inside the search. The model writes one read-only SQL statement in a DuckDB dialect; the server runs the searches in parallel, fetches the pages, pulls out the fields the query asks for with a per-row model call, removes duplicates, and returns a table.
One query can cover more than a thousand pages, filter them with ordinary SQL at no extra cost, and group them into the answer. The rows arrive as a table, not as a wall of page text, so the answer is grounded in a lot more sources than the context could hold.
Every result is saved as a result set for 30 days, so the next question can be asked of the same pages without searching again. A finished table can be published as a single HTML report, charts and all, at a link you can hand to someone.
Use it for a survey, a comparison or a ranking across many sources. It is not the tool for a quick look at one page: a query runs from seconds to minutes, because it really does search, fetch and read.
Connect your Keenable account once to enable it. Searching and fetching bill that account.
Quando è connesso a Keenable SELECT, ChatGPT può condividere chat e memorie pertinenti con questa app per fornire contesto alle tue richieste. L'uso di questi dati da parte di Keenable SELECT è soggetto ai relativi termini e alla relativa informativa sulla privacy. Se hai attivato la memoria, i dati dell'app possono essere usati per fornire in modo proattivo informazioni o suggerimenti utili. ChatGPT rispetta sempre le tue preferenze sui dati di addestramento, anche per i dati delle app collegate. L'uso delle app può comportare rischi elevati. Puoi gestire le preferenze o disconnetterti dalle app in qualsiasi momento nelle impostazioni. Scopri di più