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 · 2 hand-coded · 18 unlabelled

Operator · 9 hobby · 1 indie · 1 commercial · 9 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. 41RAG-Chatbot0★24 days—hobbyChatbot that answers user questions by retrieving relevant passages from documents and generating responses from them.
  2. 42RWC-Living-Atlas-Chatbot0★28 days—Chatbot that answers user questions about geographic data from the Living Atlas collection.
  3. 43RAG-Chatbot0★1 moliveindieAI chatbot that answers user questions by retrieving relevant information from uploaded documents in real time.
  4. 44knowbase0★1 mo—Web tool that turns uploaded documentation into an embeddable chatbot for answering site visitors' questions.
  5. 45discute-avec-ton-president0★24 days—hobbyInteractive chatbot that lets users chat with a simulation of Emmanuel Macron and get answers based on a repository of relevant documents.
  6. 46taz-hilfe-assistent0★1 mo—commercialChatbot that answers visitors' questions about a newspaper's help content and embeds on any website.
  7. 47stripe-rag-assistant0★1 moliveChat bot that answers questions about Stripe documentation using retrieval-augmented generation.
  8. 48multi-document-chatbot0★1 mo—Chatbot that lets users upload multiple documents and ask questions, returning answers drawn from the uploaded content.
  9. 49myfirsttestapp0★1 mo—hobbyChatbot that ingests website pages and uploaded documents, then answers user questions with contextually grounded responses and source references.
  10. 50production-rag-chatbot0★1 mo—RAG chatbot that retrieves documents using hybrid search and reranking, with streaming responses.
  11. 51Gen-AI0★1 mo—hobbyAI chat agent that answers questions from multiple uploaded PDF documents.
  12. 52Haystack-Docling-DialogBot0★1 mo—Chatbot that answers questions by processing documents with natural language understanding.
  13. 53RAGuard0★1 molivehobbySecure document chatbot that answers questions from uploaded files and only surfaces content the requesting user can see.
  14. 54RAGCHAT-BOT0★1 mo—Chatbot that allows users to upload PDF documents and ask questions about their contents, providing answers with page-number citations.
  15. 55ai-document-search1★1 mo—hand-codedA chatbot that allows users to upload multiple PDF documents and ask questions, receiving answers with source citations from AI.
  16. 56RAG0★1 mo—hobbyChatbot that answers questions about the content of documents uploaded by the user.
  17. 57laravel-langchain-groq-rag0★1 mo—hobbyChatbot that answers company questions by retrieving relevant information from uploaded text and PDF documents.
  18. 58ai-multi-document-rag0★1 mo—hobbyChat application that answers questions from uploaded PDF documents and cites exact source locations for each answer.
  19. 59RAG_system0★1 mo—Interactive chatbot that answers questions from uploaded PDF documents using retrieval-augmented generation with local embeddings.
  20. 60BOT_M0★2 mo—hand-codedhobbySelf-hosted platform that trains a chatbot on crawled websites and uploaded documents, then embeds it on any page to answer questions.