CLUSTER CHAT-ANSWERS-DOCUMENTS · 20 ENTRIES · EARLIEST ENTRY 2026-10-12
Chat-with-documents Q&A apps
This cluster consists of web apps that let users chat with uploaded documents, ask questions, and retrieve answers or relevant information. The cluster's dated history is too thin to read a shape from — only four dated entries exist before the index start, so it either predates the index or most members are undated. Traction leaders by activity signal are querybridge-ai, docsense-rag, and DocMind.
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 · 3 ai-built · 1 hand-coded · 16 unlabelled
Operator · 9 hobby · 11 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.
- 01querybridge-ai0★3 dayslivehobbyWeb app that lets website visitors ask questions and emails grounded answers from a document knowledge base to the site owner.
- 02docsense-rag1★8 days—hobbyDocument chat app that indexes uploaded PDFs and Word files and answers natural-language questions with cited source passages.
- 03DocMind0★1 moliveWeb app for chatting with personal documents to retrieve information and answers.
- 04folder-rag-ja0★7 days—hobbyLocal chat app for Japanese users that searches documents in a folder and answers questions with cited sources, keeping all data on-device.
- 05docmind-rag0★1 day—Document question-answering app that lets users chat with uploaded files to retrieve relevant information.
- 06DocuMind0★8 dayslivehobbyWeb app that lets users ask questions about uploaded documents and receive answers.
- 07AdvancedRAG0★3 days—Document chat application that lets users ask questions about their uploaded files and receive cited answers.
- 08multi-doc-rag-qa0★5 days—hand-codedWeb chat tool that lets users ask questions over multiple documents and receive answers synthesized from retrieved content.
- 09TechPrep-AI0★6 dayslivehobbyWeb app that lets users chat with interview-prep notes and PDFs, retrieving cited answers from their own documents instead of guessing.
- 10Squirrel0★1 mo—hobbyDocument question answering app that retrieves relevant passages and generates answers with a chat interface.
- 11AI-Handwritten-Notes-Chatbot0★1 mo—hobbyChat app that answers questions on any topic and converts the answers into handwritten-style notebook notes for download.
- 12recall1★3 mo—SaaS that turns uploaded documents into an embeddable chat widget that answers visitor questions with cited responses.
- 13archiChat0★6 mostalelivehobbyChat application that lets users upload documents or URLs and ask questions answered using the content's semantic context.
- 14docu-chat-guide-main0★11 mostale—ai-builtWeb app that lets users chat with uploaded documents to get instant answers and study assistance.
- 15uzbek-ask-learn0★1 yrabandonedliveai-builthobbyWeb app that lets Uzbek-speaking users ask questions and receive answers to learn new topics or language skills.
- 16Chat Assistant0★unknownliveChat assistant that lets users upload files and ask questions about their contents.
- 17Chat With Docs0★unknownliveWeb app that allows users to chat with their documents by asking questions and getting answers.
- 18Document Assistant0★unknownliveChat-based web app that helps users interact with uploaded documents and retrieve information from them.
- 19AskDoc0★unknownliveWeb app that enables users to ask questions and chat with uploaded documents to retrieve answers.
- 20DocuChat Pro0★unknownliveai-builtChat application that lets users ask questions about uploaded documents and summarize and search their contents.
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.