NewsBuddy - AI-Powered News Assistant

NewsBuddy is a comprehensive AI-powered news assistant that helps users interact with news articles in a meaningful and intelligent way. Using advanced RAG (Retrieval-Augmented Generation) technology and modern web technologies, it provides an intuitive interface for news-related conversations.

Project Overview

The project consists of two main components:

1. Client (Frontend): A modern Next.js application providing an interactive chat interface. More details
2. Server (Backend): A Node.js backend handling article processing, vector search, and AI interactions. More details

Key Features

• Intelligent news article processing with RAG architecture
• Real-time chat interface with session management
• Vector-based semantic search using Pinecone
• AI-powered responses using Google Gemini
• Redis caching for improved performance
• Modern, responsive UI built with Next.js

Quick Start

1. Clone the repository:

git clone https://github.com/majjikishore007/NewsBuddy.git
cd NewsBuddy

2. For detailed setup instructions:
   • Frontend Setup Guide
   • Backend Setup Guide

Project Structure

NewsBuddy/
├── client/                 # Frontend application (Next.js)
└── server/                # Backend application (Node.js)

Documentation

For detailed documentation about specific components:

• Frontend Documentation

  • UI Components
  • State Management
  • Styling
  • Development Guide

• Backend Documentation

  • API Endpoints
  • RAG Architecture
  • Configuration
  • Development Guide

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes:

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License.

Acknowledgments

• Google Gemini AI for providing the language model
• Pinecone for vector search capabilities
• The Next.js and Express.js communities