Architcybercrime/AI-PDF-Chatbot

AI PDF Chatbot is a production-ready retrieval-augmented generation (RAG) app for uploading PDF documents and conversing with their content via semantic search + OpenAI LLM responses. Intended for developers, data/knowledge workers, or teams that need a searchable Q&A layer over PDFs. Key features: - PDF text extraction, chunking and embedding (OpenAI text-embedding-ada-002 via LangChain) - Local vector store using FAISS (zero external setup); optional Pinecone replacement - Backend: FastAPI (Python 3.11) providing endpoints for upload, chat, documents, health - Frontend: React 18 + Tailwind, Vite; chat UI with source citations and conversation IDs - Uses OpenAI GPT-4o-mini for answers; returns grounded responses with source previews - Docker compose, Vercel frontend deployment guide, configurable via .env - Notes: conversation history is in-memory; FAISS deletion limitations; production persistence requires Redis/DB or Pinecone.

AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.