Next.js PDF Question Answering App

This Next.js application uses Retrieval Augmented Generation (RAG) to answer questions based on the contents of a PDF file. It leverages OpenAI, HuggingFace, and Pinecone APIs to perform natural language processing and semantic search.

Features

• Upload and process PDF files.
• Ask questions and get answers based on the PDF content.
• Uses OpenAI for generating answers.
• Uses HuggingFace for processing.
• Uses Pinecone for efficient semantic search.

Getting Started

These instructions will help you set up and run the project on your local machine for development and testing purposes.

Prerequisites

• Node.js (>= 14.x)
• npm (>= 6.x) or yarn
• OpenAI API key
• HuggingFace API key
• Pinecone API key

Installation

1. Clone the repository

2. Install dependencies:

   npm install

3. Set up environment variables:

   Create a .env.local file in the root directory and add your API keys:

   OPENAI_API_KEY=sk-proj-
   HUGGINGFACE_API_KEY=
   PINECONE_API_KEY=

Running the Application

To start the development server, run:

npm run dev

Or with yarn:

yarn dev

Open your browser and navigate to http://localhost:3000 to see the application in action.