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)

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

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.

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

Chat with your documents in real-time. A high-performance RAG engine built with FastAPI, PostgreSQL (pgvector), and OpenAI.

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

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

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.

📄💬 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.

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.

A High-Performance RAG Engine using Streamlit, LangChain, & Gemini 2.5 Flash. Built on ConversationalRetrievalChain for instant, precise document analysis (PDF, CSV, MD, TXT) without agentic overhead.

RAG Pipeline with Groq/OpenAI LLM & HuggingFace Embeddings

Intelligent RAG Chatbot: Upload PDFs and chat instantly using Google Gemini. Built with FastAPI, LangChain, and a premium React/Tailwind interface.

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.