AskPDF - Interactive PDF AI Chatbot

Welcome to AskPDF, a cutting edge SaaS product transforming user interactions with PDF documents. Our advanced AI-driven chatbot facilitates seamless communication, enabling users to inquire and receive comprehensive answers from their PDFs.

Features

Intelligent Chatbot : Experience a natural, conversational interaction with your PDFs. Our AI chatbot comprehends your questions and delivers pertinent responses.
Secure User Profile Storage: Leveraging PlanetScale and Prisma for robust and secure storage of user profiles, placing a high emphasis on data safety.
Enhanced Data Safety: The implementation of trpc strengthens data security between the server and client, assuring a protected and efficient communication pathway.
Optimized Vector Database: Utilizing Pinecone, our system enhances vector database functionalities, improving the overall effectiveness and precision of our AI chatbot.
Language Model Optimization: Integration of Langchain augments language model capabilities, offering a more sophisticated and seamless interaction experience.
Authentication with KindeAuth: KindeAuth provides secure user authentication, ensuring a dependable and safe login procedure.
Secure Payments with Stripe: Stripe integration enables hassle-free and secure payment transactions, focusing on a fluid user experience and financial safety.

Technologies Used

NextJS: A React framework that enables server-side rendering and other performance optimizations.
React: A popular JavaScript library for building user interfaces.
Prisma: A database toolkit that enhances database access and management.
Trpc: Implemented for enhanced data safety and efficient communication between server and client.
Pinecone: Used to optimize vector database functionalities for improved performance.
Typescript: A typed superset of JavaScript that enhances code quality and maintainability.
Stripe: Integrated for secure and seamless payment processing.
Zod: A TypeScript-first schema declaration and validation library.
PlanetScale: Utilized for secure storage of user profiles.
KindeAuth: Ensures secure user authentication.
Tailwind: A utility-first CSS framework for styling the application.
Shadcn: Used it to make multiple components like dropdown menu, dialog, toast, avatar etc.
UploadThing: Empower your file management with UploadThing, a cutting-edge solution using React, Node.js, MongoDB, AWS S3, and more for seamless and secure file uploads.
Langchain: Employed to optimize language model functionalities.
Lucide-React: Integrated for customizable icon components.
React-Dropzone: Utilized for easy and intuitive file uploads.
React-PDF: Incorporated for seamless PDF rendering.
Tailwind Merge: Implemented for efficient management of Tailwind CSS styles.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Inter, a custom Google Font.

Learn More

To learn more about Next.js, take a look at the following resources:

Next.js Documentation - learn about Next.js features and API.
Learn Next.js - an interactive Next.js tutorial.

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.