Each link includes its own README file with installation and setup instructions, allowing you to run it independently on your system.

• Agents

  • Agentic Patterns

  • CrewAI Usecase

  • LangGraph Usecase

• Cache Augumented Generation

• Your AI Chat Analytics

• Advanced Agentic-RAG

• Multimodal RAG

• Advanced Prompt Engineering

• Prompt Guard & Prompt Caching

• and more ...

• Prerequisites

  • Python 3.9 or higher
  • pip (Python package installer)

• Installation

  1. Clone the repository:

     git clone https://github.com/genieincodebottle/genaicodelab.git
     cd genaicodelab

  2. Create a virtual environment:

     python -m venv venv
     venv\Scripts\activate # On Linux -> source venv/bin/activate

  3. Install dependencies:

     pip install -r requirements.txt

  4. Configure environment variables:

     a) For Agents: Navigate to the following location:

     • agents/agentic_patterns
     • Rename .env.example to .env and update with appropriate values.
       • For GROQ_API_KEY follow this -> https://console.groq.com/keys
       • For OPENAI_API_KEY follow this -> https://platform.openai.com/api-keys
       • For GOOGLE_API_KEY follow this -> https://ai.google.dev/gemini-api/docs/api-key
       • For ANTHROPIC_API_KEY follow this -> https://console.anthropic.com/settings/keys

To start the application, run:

streamlit run app.py

Contributions are welcome! Follow these steps to contribute:

1. Fork the repository.
2. Create a feature branch:

   git checkout -b feature/<feature-name>

3. Commit your changes:

   git commit -m "Add <feature-description>"

4. Push to the branch:

   git push origin feature/<feature-name>

5. Open a pull request.

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

• Email: genieincodebottle@gmail.com
• GitHub: GitHub Profile