ragaai assignment

RagaAI Assignment

A modular AI-powered system for data ingestion, analysis and voice interaction.

Project Structure

ragaai_assignment/
├── data_ingestion/     # Data collection and processing
├── agents/            # AI agents for different tasks
├── orchestrator/      # Service orchestration
├── streamlit_app/     # Web interface
└── docs/             # Documentation

Components

Data Ingestion

• API Agent: Handles data collection from various APIs
• Scraping Agent: Web scraping and data extraction

AI Agents

• Retriever Agent: Handles embeddings and information retrieval
• Analysis Agent: Performs data analysis and insights generation
• Language Agent: Generates natural language narratives
• Voice Agent: Speech-to-text and text-to-speech capabilities

Orchestrator

• Manages microservices communication
• Routes requests between components

Streamlit App

• Interactive web interface
• Data visualization
• User interaction

Setup

1. Clone the repository
2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   

3. Install dependencies:

   pip install -r requirements.txt
   

4. Run with Docker:

   docker-compose up
   

Development

• Each component has its own test suite
• Follow the architecture guidelines in docs/
• Use the provided Docker configuration for consistent environments

Documentation

• docs/ai_tool_usage.md: Guide for AI tool integration
• docs/MCP_setup_guide.md: Microservices setup instructions
• docs/architecture_diagram.png: System architecture visualization