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docintel rag

A vibe-coded artificial intelligence demo — play it in your browser, no install. A functional Document Intelligence app that uses RAG (Retrieval-Augmented Generation) to chat with PDFs, with page-level citations. Built with React, Supabase, and Lovable AI.

by @Xhenzouu · Xhenzouu/docintel-rag on GitHubLANG TypeScriptHOSTED ON DOCINTEL-RAG.LOVABLE.APPUPDATED 19 Oct 2026

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From the README

A full-stack, AI-powered document chat application that allows users to upload PDFs and ask questions based on the document's content.

PDF Parsing: Extracts text client-side using pdfjs-dist. Real RAG Pipeline: Chunks text, generates vector embeddings, and stores them in Supabase using the pgvector extension. AI-Powered Answers: Uses Lovable's built-in AI Gateway (Gemini models) to generate context-aware answers. Source Citations: Every answer includes page-number pills linking back to the exact page in the uploaded document. No Login Required: Designed as a frictionless, public demo tool.

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