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Phyton LLM apps with AI Agents and RAG

dEEpEst

dEEpEst

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Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

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🌟 Awesome LLM Apps​

A curated collection of awesome LLM apps built with RAG and AI agents. This repository features LLM apps that use models from OpenAI, Anthropic, Google, and open-source models like DeepSeek, Qwen or Llama that you can run locally on your computer.

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🤔 Why Awesome LLM Apps?​

  • 💡 Discover practical and creative ways LLMs can be applied across different domains, from code repositories to email inboxes and more.
  • 🔥 Explore apps that combine LLMs from OpenAI, Anthropic, Gemini, and open-source alternatives with RAG and AI Agents.
  • 🎓 Learn from well-documented projects and contribute to the growing open-source ecosystem of LLM-powered applications.

🚨 Open Source AI Agent Hackathon​

We're launching a Global AI Agent Hackathon in collaboration with AI Agent ecosystem partners — open to all developers, builders, and startups working on agents, RAG, tool use, or multi-agent systems.

  • Win up to $25,000 in cash by building Agents
  • Top 5 projects will be featured in the top trending
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    repo.
  • $20,000 worth of API and tool use credits from the partners

Participate Now:​

⭐ Star this repo and subscribe to
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for latest updates.

📂 Featured AI Projects​

AI Agents​

🌱 Starter AI Agents​

🚀 Advanced AI Agents​

🎮 Autonomous Game Playing Agents​

🤝 Multi-agent Teams​

🗣️ Voice AI Agents​

🌐 MCP AI Agents​

RAG (Retrieval Augmented Generation)​

MCP AI Agents​

🧠 Advanced LLM Apps​

💬 Chat with X Tutorials​

💾 LLM Apps with Memory Tutorials​

🔧 LLM Fine-tuning Tutorials​

🚀 Getting Started​

  1. Clone the repository

    Bash: 
    git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
  2. Navigate to the desired project directory

    Bash: 
    cd awesome-llm-apps/starter_ai_agents/ai_travel_agent
  3. Install the required dependencies

    Bash: 
    pip install -r requirements.txt
  4. Follow the project-specific instructions in each project's README.md file to set up and run the app.
 
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