🤖 MultiMind-RAG-Agent

🌟 Overview

MultiMind-RAG-Agent is a next-generation, creative, and highly customizable conversational AI platform. It is designed for deep, meaningful, and context-aware interactions, blending advanced AI with real-time data and rich personas. Whether you need a wise philosopher, a playful Gen Z companion, or a business-savvy advisor, MultiMind-RAG-Agent adapts to your needs.

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🚀 Key Features

• 🧑‍🎤 Dynamic Personas: Multiple, deeply crafted personalities (age, background, interests, tone) for unique, human-like conversations.
• 📰 Real-Time News & Knowledge: Integrates with NewsAPI, Serper, and a comprehensive knowledge base for up-to-date, insightful responses.
• 🧠 API-Driven Intelligence: Connects to Supabase, Gemini, Novita, Sarvam, and more for data-rich, context-aware answers.
• 💻 Modern Frontend: Built with Next.js for a fast, beautiful, and responsive user experience.
• 🛠️ Customizable & Extensible: Easily modify personas, add new data sources, or extend conversation logic.
• 🔒 Secure & Scalable: Environment-based API key management and modular architecture for easy scaling.

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🏗️ Architecture

┌────────────────────────────┐
│        Frontend           │
│    (Next.js, React)       │
└────────────┬──────────────┘
             │ REST/HTTP
┌────────────▼──────────────┐
│        Backend            │
│   (Python: main.py)       │
│  ─ Persona Engine         │
│  ─ API Integrations       │
│  ─ Knowledge Retrieval    │
└────────────┬──────────────┘
             │
┌────────────▼──────────────┐
│   External APIs/DBs       │
│  (Supabase, Gemini, etc.) │
└───────────────────────────┘

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🔑 Environment Keys

All API keys and sensitive configuration are managed via the .env file. Example keys:

Key	Description
SUPABASE_KEY	Supabase database access
SUPABASE_URL	Supabase project URL
SERPER_API_KEY	Serper web search API
NEWSAPI_KEY	NewsAPI for real-time news
NOVITA_API_KEY	Novita API for advanced features
SARVAM_API_KEY	Sarvam API for language/insights
GEMINI_API_KEY	Gemini AI for LLM responses

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⚡ Quick Start

1. Clone the Repository:

   git clone https://github.com/NikithaKunapareddy/AI-Rag-Agent.git
   cd AI-Rag-Agent-main

2. Install Backend Dependencies:

   pip install -r requirements.txt

3. Configure Environment:
   • Copy .env.example to .env and fill in your API keys (see table above).
4. Run the Backend:

   python main.py

5. Setup Frontend:

   cd front_end
   npm install
   npm run dev

6. Access the App:
   • Open your browser and go to http://localhost:3000.

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🗂️ Project Structure

AI-Rag-Agent-main/
├── bot.py                # Persona logic and conversation engine
├── main.py               # Main backend logic
├── requirements.txt      # Python dependencies
├── .env                  # API keys and configuration
├── comprehensive_news_knowledge.txt # Knowledge base
├── front_end/            # Next.js frontend
│   ├── app/              # Main app pages and components
│   ├── public/           # Static assets
│   └── ...
└── ...

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🎨 Creativity & Customization

• 🧑‍🎤 Personas:
  • Edit bot.py to craft new personas with unique backgrounds, interests, and conversational styles.
• 📚 Knowledge Sources:
  • Expand or update comprehensive_news_knowledge.txt for richer, more relevant responses.
• 🖥️ Frontend:
  • Customize the Next.js UI for your brand or user experience.

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🙏 Acknowledgements

• Supabase 🚀
• Google Gemini 🤖
• NewsAPI 📰
• Serper 🌐
• Novita 🧠
• Sarvam 🗣️
• Next.js 💻
• Open Source Community 🌍

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📄 License

This project is licensed under the MIT License. See LICENSE.txt for details.

🤝 Contributing

We welcome creative contributions! Please open issues or submit pull requests to help us improve and expand the AI Rag Agent.

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🤖 MultiMind-RAG-Agent: Where creativity meets intelligence. Build, converse, and innovate with the next generation of AI chatbots.