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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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README.md

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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 even open-source models like LLaMA that you can run locally on your computer.

🤔 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 combines LLMs from OpenAI, Anthropic, Gemini, and open-source alternatives with RAG and AI Agents.
  • 🎓 Learn from well-documented projects and contribute to the growing opensource ecosystem of LLM-powered applications.

📂 Featured Projects

💻 Local Lllama-3 with RAG

Chat with any webpage using local Llama-3 and Retrieval Augmented Generation (RAG) in a Streamlit app. Enjoy 100% free and offline functionality.

💬 Chat with GitHub Repo

Engage in natural conversations with your GitHub repositories using GPT-4. Uncover valuable insights and documentation effortlessly.

📨 Chat with Gmail

Interact with your Gmail inbox using natural language. Get accurate answers to your questions based on the content of your emails with Retrieval Augmented Generation (RAG).

📝 Chat with Substack Newsletter

Chat with a Substack newsletter using OpenAI's API and the Embedchain library in a Streamlit app. Leverage GPT-4 for precise answers based on newsletter content.

📄 Chat with PDF

Engage in intelligent conversation and question-answering based on the content of your PDF documents. Simply upload and start asking questions.

📽️ Chat with YouTube Videos

Dive into video content with interactive conversation and question-answering based on YouTube videos. Provide a URL and engage with the video's content through natural language.

💻 Web Scraping AI Agent

Intelligently scrape websites using OpenAI API and the scrapegraphai library. Specify the URL and extraction requirements, and let the AI agent handle the rest.

🚀 Getting Started

  1. Clone the repository
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
  1. Navigate to the desired project directory
cd awesome-llm-apps/chat_with_gmail
  1. Install the required dependencies
pip install -r requirements.txt
  1. Follow the project-specific instructions in each project's README.md file to set up and run the app.

🤝 Contributing to Opensource

Contributions are welcome! If you have any ideas, improvements, or new apps to add, please create a new GitHub Issue or submit a pull request. Make sure to follow the existing project structure and include a detailed README.md for each new app.