A fully local RAG running on your browser - Powered by WebLLM, Voy and Transformers.js

Local cognitive search on a pdf file.

Chatting with PDF documents using large language models (GPT)

A full-stack AI-powered application that lets users upload and chat with their PDF documents. It combines seamless PDF processing, intelligent responses, and a minimalistic design to deliver a smooth and intuitive user experience.

🕸️ Open-source NotebookLM alternative with infinite canvas | Self-hosted Google NotebookLM replacement | RAG chat + PDF/Webpage/Video | Any LLM

A chatbot assistant app that allows you to talk to a pdf using gemini api

Doctype.io: A production-ready RAG engine that turns static PDFs into intelligent conversations. Built with FastAPI, Redis, LangChain, and Google Gemini.

Chat with your PDF documents.

DocuMind AI is a professional-grade Retrieval-Augmented Generation (RAG) platform that enables natural language conversations with PDF documents. Powered by Google Gemini 2.0 Flash and ChromaDB, it uses advanced semantic search and layout-aware OCR to provide accurate, grounded insights with zero hallucinations.

Chat with pdf. AI leverages the pdf content to answer your queries

📄💬 FIN-RAG – AI-Powered PDF Chat & Organizer An intelligent RAG-based app to organize PDFs 📁, chat with documents 🤖, track reading progress 📊, and save notes as PDFs 📝. Built with Flask, Langchain, HuggingFace, Groq, FAISS, and TinyDB, deployed on Google Cloud ☁️.

A toolkit of local, privacy-focused AI applications built with Python. Includes a RAG-powered research assistant for PDFs, various chatbots, and visualization scripts.

RAG Pipeline with Groq/OpenAI LLM & HuggingFace Embeddings

An AI-powered lazy study buddy that reads your messy notes (PDFs, PPTs, DOCX, images) and answers questions using Groq LLMs, sentence-transformers, and FAISS. Built with Streamlit for max chill. OCR included.

Gaia Pro Chat - Intelligent Local AI Interface Gaia Pro Chat is a high-performance, privacy-first frontend application designed to interact seamlessly with locally running Large Language Models (LLMs), specifically optimized for the Gaia (Qwen 2.5) ecosystem. Built with React, TypeScript, and Vite, this project bridges the gap between raw local mod

Interactive PDF Chat Assistant built with Streamlit and LangChain. Upload PDFs and ask questions, receiving AI-powered answers based on document content, leveraging Groq, Hugging Face embeddings, and FAISS.

PDF-Chat is a streamlined document intelligence tool that transforms PDFs into interactive knowledge bases. Powered by Groq's high-performance LLMs and semantic search capabilities, it enables natural conversation with your documents, extracting insights through contextual question-answering.

基于VLM的pdf对话系统

Chat With My PDFs is a web-based AI application that allows users to upload PDF documents and ask questions about their content using AI-powered document understanding.

AuthorAI 📚 — A RAG-powered application that enables semantic chat with your PDF library. It uses LangChain and ChromaDB to ingest documents and OpenAI to generate context-aware answers, summaries, and insights via a modern Streamlit interface.