Awesome LLM Apps — 50+ AI App Recipes with Source Code

What it is

Awesome LLM Apps is a curated collection of 50+ production-ready AI application examples, each with complete source code. Every recipe is a runnable project covering categories like RAG chatbots, AI agents, multi-model apps, and more. The repository serves as a learning resource and starting point for building your own AI applications.

It is designed for developers who learn best from working code and want to skip the boilerplate when building AI applications.

How it saves time or tokens

The token estimate for this workflow is 2,800 tokens. Instead of building AI applications from scratch, you clone a recipe that matches your use case and modify it. Each recipe includes dependency management, environment setup, and working integration code, saving hours of initial setup and debugging.

How to use

1. Browse the collection on GitHub
2. Clone the repository: git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
3. Navigate to your chosen recipe: cd awesome-llm-apps/<recipe-name>
4. Install dependencies and run: pip install -r requirements.txt && python app.py

Example

# Clone the collection
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd awesome-llm-apps

# Example: Run a RAG chatbot recipe
cd rag-chatbot
pip install -r requirements.txt

# Set your API key
export OPENAI_API_KEY=sk-your-key

# Run the app
python app.py

Each recipe has its own README with specific setup instructions and configuration options.

Related on TokRepo

• Prompt Library -- Browse curated prompts and templates
• AI Tools for Coding -- Developer tools for building AI applications

Common pitfalls

• Each recipe has its own dependencies; installing everything globally can cause version conflicts -- use virtual environments
• API keys are required for most recipes; check each recipe's README for which providers you need
• Some recipes use older library versions; you may need to update dependencies for compatibility with current APIs