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.
Apabila disambungkan kepada Keenable SELECT, ChatGPT mungkin berkongsi sembang dan memori yang berkaitan dengan aplikasi ini untuk membantu memberikan konteks bagi permintaan anda. Penggunaan data ini oleh Keenable SELECT tertakluk pada terma dan dasar privasi mereka. Jika anda telah mendayakan Memori, data daripada aplikasi mungkin digunakan secara proaktif untuk memberikan maklumat atau cadangan yang berguna. ChatGPT sentiasa menghormati pilihan data latihan anda, termasuk untuk data daripada aplikasi bersambung. Penggunaan aplikasi mungkin membawa risiko tinggi. Anda boleh mengurus pilihan anda atau memutuskan sambungan daripada aplikasi pada bila-bila masa dalam tetapan anda. Ketahui lebih lanjut