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.
Når ChatGPT er koblet til Keenable SELECT, kan ChatGPT dele relevante samtaler og minner med denne appen for å gi kontekst til forespørslene dine. Keenable SELECTs bruk av disse dataene er underlagt deres vilkår og personvernerklæring. Hvis du har aktivert Minne, kan data fra appen brukes til proaktivt å gi nyttig informasjon eller forslag. ChatGPT respekterer alltid dine preferanser for treningsdata, også for data fra tilkoblede apper. Bruk av apper kan innebære økt risiko. Du kan administrere preferansene dine eller koble fra apper når som helst i innstillingene. Les mer