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ChatPDF leverages Retrieval Augmented Generation (RAG) to let users chat with their PDF documents using natural language. Simply upload a PDF, and interactively query its content with ease. Perfect for extracting information, summarizing text, and enhancing document accessibility.
A ChatBot designed to assist WhatsAgenda customers in configuring their calendar. This tool streamlines the setup of scheduling, managing appointments, and customizing service hours, ensuring an efficient and user-friendly experience.
Memomind is a sleek note-taking app built with React 18, Next.js 14, and TypeScript. It features a chat-based RAG workflow, AI-powered insights with Langchain and Llama3, and secure authentication via Clerk. It uses Tailwind CSS for styling and Shadcn-UI for components.
In this end to end project I have built a RAG app using ObjectBox Vector Databse and LangChain. With Objectbox you can do OnDevice AI, without the data ever needing to leave the device.
The project involves developing a chatbot to enhance learning by answering common FAQs and providing hints within the scope of each sprint. Below is the deployed link demonstrating frontend and node backend. Flask app is not deployed due to size issue, please run locally and use google api key to check the functionality of our RAG based chatbot
Upload documents 📄 and get instant, accurate answers to your questions with InstaDoc: Intelligent QnA Powered by RAG. Enjoy quick summaries 📜 and precise Q&A, all through an intuitive interface. InstaDoc leverages advanced technologies 🚀 to help you understand your documents better and faster, making document analysis efficient and user-friendly
EquiInsight is a specialised user-friendly platform made for investors, analysts, and financial professionals who specialise in equity markets. It is intended to make information retrieval simple. To get pertinent insights from the stock market and financial sphere, users can ask queries and input the URLs of articles.