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

AUG 2026: 9SEP 2026: 16OCT 2026: 9
AUG 2026OCT 2026

Members by activity

Activity signals, not revenue.

Build origin · 1 hand-coded · 19 unlabelled

Operator · 16 hobby · 4 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 20 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01rag-document-qa3★15 days—hobbyWeb app that uploads documents and answers questions about their content by retrieving relevant sections and generating responses.
  2. 02docV-ai2★7 dayslivehobbyDocument analysis web app that answers questions from uploaded document collections with cited passages and flags contradictions across documents with severity ratings.
  3. 03Sagewell1★2 days—hand-codedhobbyWeb app that lets users upload documents or add web pages and ask questions; answers are grounded in those sources with citations.
  4. 04ossian2★23 daysliveSelf-hosted document Q&A system that retrieves answers with citations from your own files using RAG.
  5. 05rag_k8-docker_pinnecone_react_aws0★today—hobbyWeb application that lets users upload documents and ask questions, returning answers generated from retrieved passages with citations.
  6. 06AI-Knowledge-Assistant0★24 days—hobbyWeb app that answers questions from uploaded documents with cited sources and verifies answers using a second AI check.
  7. 07coursepilot-rag0★15 days—hobbyWeb app that lets users upload course materials and ask questions, returning answers with cited excerpts from the documents.
  8. 08Rag_Doc0★2 days—hobbyWeb app that lets users upload documents and ask questions, retrieving relevant passages and returning cited answers from the uploaded content.
  9. 09acme-knowledge-cloud0★5 days—hobbyKnowledge base app that lets users upload documents and ask questions, receiving cited answers derived from their content.
  10. 10ai-document-assistant0★11 days—Secure multi-tenant document search and Q&A platform that answers questions from uploaded files with verified citations.
  11. 11united_nations_charter_rag-assistant-project0★19 days—hobbyWeb app that answers questions about the United Nations Charter by retrieving relevant passages and providing cited answers.
  12. 12ProofBasedSummarizer0★2 days—hobbyWeb app that answers questions about uploaded research papers by retrieving supporting evidence and citing the page and section for each answer.
  13. 13smriti0★16 dayslivehobbyWeb app that lets users upload documents and ask questions, returning cited answers sourced only from those files.
  14. 14rag-document-qa0★16 days—hobbyWeb app for uploading documents and asking questions to receive cited answers generated from the document content.
  15. 15visic0★24 days—hobbyPrivate web app that lets users upload documents and ask questions answered solely from that content with source citations.
  16. 16docsense0★10 dayslivehobbyWeb app that lets users upload documents and ask questions, receiving answers with cited passages.
  17. 17cloud-rag-openai0★4 days—Web app that uploads documents and answers questions from their contents, supplementing with web search when needed.
  18. 18document-qa-demo0★23 dayslivehobbyWeb app that lets users upload a document and ask questions, retrieving relevant passages and optionally generating answers.
  19. 19genai0★15 days—Web app that lets users upload documents and ask questions, retrieving relevant passages to generate grounded answers.
  20. 20financial-rag-platform0★11 days—hobbyWeb platform that lets users upload financial documents and ask questions, retrieving relevant passages to synthesize grounded answers from source material.