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PromptsApr 6, 2026·3 min de lectura

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.

Introducción

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.


🙏

Fuente y agradecimientos

Created by Shubham Saboo. Licensed under MIT.

awesome-llm-apps — ⭐ 6,000+

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

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