CLUSTER ANSWERS-CITED-DOCUMENTS · 34 ENTRIES · EARLIEST ENTRY 2026-09-24
Document Q&A with cited answers
A cluster of web apps that let users upload documents and ask questions, receiving answers with cited passages from the source material. The dated history before the index start is too thin to read a shape from – the cluster predates the index or its members are undated. Traction leaders are docmind (1 star), followed by hybrid-rag-document-qa and scriptgraph-rag (0 stars each).
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 · 1 ai-built · 1 hand-coded · 12 unlabelled
Operator · 8 hobby · 6 unlabelled
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 14 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 21docinsight0★5 days—Document search and Q&A tool that provides cited, grounded answers from user's documents.
- 22docusage0★11 days—hobbyWeb app that lets users upload documents, ask plain-language questions, and receive cited answers from their own knowledge base.
- 23RAG-document-assistant0★17 days—hobbyMulti-user web app for uploading documents and asking questions, with answers grounded in cited source passages.
- 24Rag0★18 days—hobbyWeb app that lets users upload documents and ask questions, retrieving relevant passages and citing sources through multiple language model options.
- 25docmind1★29 days—hobbySelf-hosted app that answers questions about uploaded documents with cited page references, running entirely offline.
- 26NexusRAG0★1 mo—Web application that lets users upload documents, search them semantically, and ask questions answered with source citations.
- 27rag-java-langchain-frontend0★1 mo—hand-codedhobbyA web frontend for uploading documents and asking questions over a local RAG knowledge base.
- 28medical-rag0★1 mo—hobbyWeb app that lets users upload medical documents and ask questions, generating answers grounded only in the uploaded content with page-level citations.
- 29ai-support-platform0★1 mo—SaaS platform where businesses upload documentation so customers receive instant, cited answers generated from that content.
- 30Tender_Intelligence0★1 mo—Web service for uploading tender documents that extracts structured summaries and answers questions about their content with cited sources.
- 31ai-knowledge-inbox0★1 mo—hobbyWeb app that saves notes and web pages and answers questions over the saved content with citations.
- 32Assignment-Project0★1 molivehobbyWeb app that answers technical questions from telecom standard documents using retrieval, reranking, and citation verification to avoid unsupported answers.
- 33RAG Q&A Assistant0★unknownliveWeb app that answers user questions grounded in their own uploaded documents with cited sources.
- 34RAG Document Assistant — Chat with your PDFs & notes0★unknownliveai-builtWeb app that lets users upload documents and ask questions with cited answers using RAG.
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.