CLUSTER ANSWERS-QUESTIONS-CHATBOT · 75 ENTRIES · EARLIEST ENTRY 2025-01-04

PDF document Q&A chatbots

This cluster consists of chatbots that answer user questions about uploaded PDF documents by retrieving relevant passages and generating grounded, sourced responses, often with page-number citations and streaming. Before the index start, only 3 dated product entries exist, so the cluster's dated history is too thin to read a shape from -- it predates the index or its members are undated. On traction, the highest activity signals are rag-chatbot, knowbase, and ExCort, all showing 0 stars, meaning no measurable traction is evident.

Entry timeline

ENTRY TIMELINE

JAN 2025: 1MAY 2025: 1SEP 2025: 1OCT 2025: 1JAN 2026: 1FEB 2026: 1MAY 2026: 1AUG 2026: 23SEP 2026: 36OCT 2026: 9
JAN 2025OCT 2026

Members by activity

Activity signals, not revenue.

Build origin · 20 unlabelled

Operator · 15 hobby · 5 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-MUNGIL1★5 dayslivehobbyChatbot that answers questions by retrieving relevant information from documents.
  2. 02pdf-rag-chatbot1★19 dayslivehobbyChatbot that answers questions about an uploaded PDF by retrieving relevant content from the document.
  3. 03ai-chatbox-v31★23 days—hobbyWeb-based chatbot that retrieves answers from uploaded documents, streams responses, and handles multiple file formats.
  4. 04azure-rag-chatbot1★14 dayslivehobbyCloud-based chatbot that answers questions from uploaded PDFs using retrieval-augmented generation with persistent chat history.
  5. 05LongFormBot1★19 days—Chatbot that generates long-form articles and written content from short prompts.
  6. 06Document-Search-Chatbot0★today—hobbyChatbot that answers questions from uploaded PDFs, grounding responses in the document text and citing source page numbers.
  7. 07highlight-extractor-bot0★22 days—Chatbot that extracts highlighted passages from uploaded documents, translates them, and creates flashcards and quizzes for learning.
  8. 08rag-chatbot0★23 days—hobbyChatbot that answers questions from users' uploaded documents, providing source citations and declining to answer when no relevant content is found.
  9. 09rag-in-a-box0★6 days—hobbyChatbot that indexes a collection of documents and answers plain-language questions with cited snippets from the source files.
  10. 10-rag-chatbot0★20 days—hobbyChatbot that answers questions about uploaded PDFs and company documents by retrieving relevant passages from an indexed knowledge base.
  11. 11ExCort0★24 days—hobbyChatbot that answers questions from a PDF and cites page sources.
  12. 12project-3-rag-chatbot0★1 dayliveAI chatbot that answers questions from uploaded PDFs, citing source passages in real-time.
  13. 13zotero-ask0★16 days—Zotero plugin that adds an AI chat sidebar to answer questions about PDF papers, helping researchers understand content without leaving the reader.
  14. 14rag-chatbot-pdf0★19 days—hobbyChatbot that answers questions about uploaded PDF documents by retrieving relevant sections.
  15. 15Rag-Source-Citations0★20 days—hobbyChatbot that answers questions about uploaded PDFs and shows source citations for each response.
  16. 16RAG-Chatbot0★1 day—Chatbot that answers questions by retrieving relevant information from uploaded documents.
  17. 17RAG-Chatbot0★21 days—hobbyChatbot that lets users upload PDF documents and ask natural-language questions, retrieving relevant content to generate context-aware answers.
  18. 18pdf_rag-chatbot0★24 days—hobbyChatbot that answers questions about uploaded PDF documents using retrieval over their content.
  19. 19End-to-End-RAG-Document-Assistant0★14 days—hobbyDocument Q&A chatbot that lets users upload files and receive cited, AI-generated answers from their content.
  20. 20RAGnest0★14 days—hobbyWeb-based chatbot that answers questions by retrieving relevant information from a document collection and generating grounded responses.