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.
Cuando te conectas a Keenable SELECT, ChatGPT puede compartir chats y memorias relevantes con esta aplicación para ayudar a dar contexto a tus solicitudes. El uso de estos datos por parte de Keenable SELECT está sujeto a sus términos y política de privacidad. Si tienes Memoria activada, los datos de la aplicación pueden usarse para proporcionar información útil o sugerencias de forma proactiva. ChatGPT siempre respeta tus preferencias de datos de entrenamiento, incluso para datos de aplicaciones conectadas. El uso de aplicaciones puede implicar un riesgo elevado. Puedes administrar tus preferencias o desconectarte de aplicaciones en cualquier momento desde la configuración. Obtener más información