CLUSTER DOCUMENTS-ASK-QUESTIONS · 22 ENTRIES · EARLIEST ENTRY 2026-09-20
Document Q&A apps
This cluster consists of apps that let users upload documents (PDFs, Word files) and ask natural-language questions, with answers grounded in the uploaded content and accompanied by source citations. The dated history before the index start is too thin to read a shape from, as only one dated entry exists. Traction leaders by activity signal are error-handler and MEDORA-Ai (2 stars each), followed by rag-document-qa (1 star).
Entry timeline
ENTRY TIMELINE
Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.
Members by activity
Activity signals, not revenue.
Build origin · 2 unlabelled
Operator · 1 hobby · 1 unlabelled
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 2 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 21Voice-Enabled-RAG-Model0★1 mo—Voice-driven question answering app that retrieves and cites grounded answers from a user's own uploaded documents.
- 22docanchor0★3 molivehobbyA document Q&A tool that answers from your documents and cites each claim to its source.
Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.