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

> Curated collection of 50+ production-ready AI application examples with full source code. RAG chatbots, AI agents, multi-model apps, and more. Each recipe is a complete, runnable project. 6,000+ stars.

## Install

Paste the prompt below into your AI tool:

## Quick Use

Browse the collection and pick a recipe:

```bash
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd awesome-llm-apps

# Example: Run the RAG chatbot
cd rag-chatbot
pip install -r requirements.txt
python app.py
```

Each recipe has its own README with setup instructions.

---

## Intro

Awesome LLM Apps is a curated collection of 50+ production-ready AI application examples, each with complete source code, with 6,000+ GitHub stars. Every recipe is a runnable project — not a tutorial snippet — covering RAG chatbots, AI agents, multi-model applications, document Q&A, code assistants, and more. Instead of reading documentation and guessing how to put pieces together, clone a recipe that matches your use case and modify it. Best for developers learning to build AI applications or looking for production-ready starting points. Works with: Claude, GPT-4, Gemini, local models. Setup time: varies by recipe (2-10 minutes).

---

## Recipe Categories

### RAG Applications
| Recipe | Description | Stack |
|--------|-------------|-------|
| RAG Chatbot | Chat with your documents | LangChain + ChromaDB |
| Multi-PDF QA | Ask questions across PDFs | LlamaIndex + Qdrant |
| Web RAG | Search and summarize websites | Crawl4AI + Claude |
| SQL RAG | Natural language to database | Text2SQL + PostgreSQL |

### AI Agents
| Recipe | Description | Stack |
|--------|-------------|-------|
| Research Agent | Autonomous web research | CrewAI + Tavily |
| Code Review Agent | Automated PR review | Claude + GitHub API |
| Data Analysis Agent | Analyze CSVs with AI | PandasAI + GPT-4 |
| Customer Support Bot | Intent detection + routing | LangGraph + Claude |

### Multi-Model Apps
| Recipe | Description | Stack |
|--------|-------------|-------|
| Model Router | Route to cheapest model | OpenRouter + FastAPI |
| A/B Testing | Compare model outputs | Promptfoo + 3 models |
| Ensemble | Combine multiple model answers | Voting + aggregation |

### Specialized
| Recipe | Description | Stack |
|--------|-------------|-------|
| Voice Assistant | Speech-to-text + LLM + TTS | Whisper + Claude + ElevenLabs |
| Image Analyzer | Describe and analyze images | Claude Vision + Streamlit |
| Email Writer | Context-aware email drafts | Claude + Gmail API |
| Meeting Summarizer | Transcribe + summarize | Whisper + Claude |

### Each Recipe Includes
```
recipe-name/
├── README.md          # Setup instructions
├── requirements.txt   # Dependencies
├── app.py            # Main application
├── config.py         # Configuration
├── .env.example      # Required API keys
└── tests/            # Basic tests
```

### Key Stats
- 6,000+ GitHub stars
- 50+ complete recipes
- 10+ categories
- Full source code (not snippets)
- Active maintenance and new recipes weekly

### FAQ

**Q: What is Awesome LLM Apps?**
A: A collection of 50+ production-ready AI application examples with complete, runnable source code covering RAG, agents, multi-model apps, and specialized AI tools.

**Q: Is Awesome LLM Apps free?**
A: Yes, all recipes are open-source under MIT license. Some recipes require paid API keys.

**Q: Can I use these recipes in production?**
A: Yes, recipes are designed as production starting points. Add your own error handling, authentication, and scaling as needed.

---

## Source & Thanks

> Created by [Shubham Saboo](https://github.com/Shubhamsaboo). Licensed under MIT.
>
> [awesome-llm-apps](https://github.com/Shubhamsaboo/awesome-llm-apps) — ⭐ 6,000+

Thanks for turning "how do I build this AI app?" into "clone and run."

---

<!-- ZH -->


## Quick Use

```bash
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd awesome-llm-apps/rag-chatbot
pip install -r requirements.txt
python app.py
```

---

## Intro

Awesome LLM Apps is a collection of 50+ production-grade AI app examples with 6,000+ GitHub stars. Every example includes complete runnable source code covering RAG chatbots, AI agents, multi-model apps, and more. Ideal for developers learning to build AI apps or looking for a production-grade starting point.

---

## Source & Thanks

> Created by [Shubham Saboo](https://github.com/Shubhamsaboo). Licensed under MIT.
>
> [awesome-llm-apps](https://github.com/Shubhamsaboo/awesome-llm-apps) — ⭐ 6,000+


---
Source: https://tokrepo.com/en/workflows/awesome-llm-apps-50-ai-app-recipes-source-code-00914afd
Author: Prompt Lab