🚀 Explore GenAI

This repository is a comprehensive collection of projects exploring various aspects of Generative AI, including AI Agents and Retrieval-Augmented Generation (RAG) implementations. Each project demonstrates different applications and capabilities of GenAI technologies.

🤖 AI Agents

AI Financial Analysis Agent

A sophisticated multi-agent system for financial analysis and trading strategy development using CrewAI. Features multiple specialized agents working together for:

• Market analysis
• Trading strategy development
• Execution planning
• Risk assessment

AI Data Visualization Agent

An interactive Data Visualization Assistant powered by LLMs that:

• Understands natural language queries
• Generates appropriate visualizations
• Supports multiple visualization types
• Features real-time data processing

AI Lead Generation Agent

Automated lead generation system powered by Firecrawl's Extract Endpoint that:

• Discovers potential leads from Quora
• Extracts user profiles using intelligent web scraping
• Organizes qualified leads in Google Sheets
• Runs autonomously

AI Startup Trend Analysis Agent

Tool for entrepreneurs to analyze startup trends and opportunities:

• Identifies nascent trends
• Spots market gaps
• Analyzes growth opportunities
• Provides actionable insights

AI Recruitment Agent Team

AI-powered recruitment assistance system for streamlining hiring processes.

📚 RAG (Retrieval-Augmented Generation)

Corrective RAG

Implementation of Retrieval-Augmented Generation with corrective capabilities.

GenAI RAG Context-Aware Customer Assistant

E-commerce customer assistant utilizing RAG for:

• Context-aware responses
• Product recommendations
• Customer support

🛠️ Technologies Used

• AI/ML Frameworks:

  • LangChain
  • CrewAI
  • OpenAI GPT Models
  • Together AI
  • E2B

• Data Processing:

  • Pandas
  • NumPy
  • Newspaper4k

• Visualization:

  • Streamlit
  • Various plotting libraries

• APIs & Services:

  • OpenAI API
  • Serper API
  • Firecrawl API
  • Together AI API

🚀 Getting Started

Each project has its own README with specific setup instructions. Generally, to get started:

1. Clone the repository:

   git clone https://github.com/panktishah62/genai-tinkerlab.git
   cd genai-tinkerlab

2. Navigate to specific project:

   cd [project-directory]

3. Follow project-specific README for:

   • Dependencies installation
   • API key setup
   • Usage instructions

📝 Project Structure

genai-tinkerlab/
├── AI Agents/
│   ├── AI-Financial-Analysis-Agent/
│   ├── AI-Data-Visualization-Agent/
│   ├── AI-Lead-Generation-Agent/
│   ├── ai_startup_trend_analysis_agent/
│   └── ai_recruitment_agent_team/
└── RAG/
    ├── Corrective-Rag/
    └── GenAI-RAG-Context-Aware-Customer-Assistant/

🤝 Contributing

Feel free to contribute to any of the projects by:

1. Forking the repository
2. Creating your feature branch
3. Committing your changes
4. Opening a pull request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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Happy Exploring! 🚀✨