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Powered by Nebius AI Studio - Your one-stop platform for building and deploying AI applications.

A comprehensive collection of practical examples, tutorials and recipes showcasing how to build powerful LLM-powered applications using various frameworks and tools.

From simple chatbots and MCP examples to advance AI Agents, this repository serves as your guide to building some cool AI applications.

🚀 Featured AI Agent Frameworks

🧩 Starter Agents

Quick-start agents for learning and extending:

🪶 Simple Agents

Straightforward, practical use-cases:

🗂️ MCP Agents

Examples using Managed Compute Providers:

📚 RAG Applications

Retrieve-augmented generation examples:

🔬 Advanced Agents

Complex pipelines for end-to-end workflows:

📺 Playlist of Demo Videos & Tutorials

Getting Started

Prerequisites

  • Python 3.10 or higher
  • Git
  • pip (Python package manager) or uv

Installation Steps

  1. Clone the repository

    git clone https://github.com/Arindam200/awesome-ai-apps.git
  2. Navigate to the desired project directory

    cd awesome-ai-apps/starter_ai_agents/agno_starter
  3. Install the required dependencies

    pip install -r requirements.txt
  4. Follow project-specific instructions

    • Each project has its own README.md with detailed setup and usage instructions
    • Make sure to read the project-specific documentation before running the application

🤝 Contributing

We welcome contributions from the community! Whether you're a beginner or an expert, your examples and tutorials can help others learn and grow. Here's how you can contribute:

  1. Submit a Pull Request with your LLM application example
  2. Add detailed documentation and setup instructions
  3. Include requirements.txt or environment.yml
  4. Share your experience and best practices

📜 License

This repository is licensed under the MIT License. Feel free to use and modify the examples for your projects.

Thank You for the Support! 🙏

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A collection of projects showcasing RAG, agents, workflows, and other AI use cases

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