71 lines
3.2 KiB
Markdown
71 lines
3.2 KiB
Markdown
<p align="center">
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<a href="https://unwindai.substack.com">
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<img src="docs/banner/unwind.png" width="600px" alt="Unwind AI">
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</a>
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</p>
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<p align="center">
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<a href="https://www.linkedin.com/in/shubhamsaboo/">
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<img src="https://img.shields.io/badge/-Follow%20Shubham Saboo-blue?logo=linkedin&style=flat-square" alt="LinkedIn">
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</a>
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<a href="https://twitter.com/Saboo_Shubham_">
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<img src="https://img.shields.io/twitter/follow/Shubham Saboo" alt="Twitter"> </a>
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</p>
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<hr/>
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# 🌟 Awesome LLM Apps
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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.
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## 🤔 Why Awesome LLM Apps?
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- 💡 Discover practical and creative ways LLMs can be applied across different domains, from code repositories to email inboxes and more.
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- 🔥 Explore apps that combines LLMs from OpenAI, Anthropic, Gemini, and open-source alternatives with RAG and AI Agents.
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- 🎓 Learn from well-documented projects and contribute to the growing opensource ecosystem of LLM-powered applications.
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## 📂 Featured Projects
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### 💻 Local Lllama-3 with RAG
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Chat with any webpage using local Llama-3 and Retrieval Augmented Generation (RAG) in a Streamlit app. Enjoy 100% free and offline functionality.
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### 💬 Chat with GitHub Repo
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Engage in natural conversations with your GitHub repositories using GPT-4. Uncover valuable insights and documentation effortlessly.
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### 📨 Chat with Gmail
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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).
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### 📝 Chat with Substack Newsletter
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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.
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### 📄 Chat with PDF
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Engage in intelligent conversation and question-answering based on the content of your PDF documents. Simply upload and start asking questions.
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### 📽️ Chat with YouTube Videos
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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.
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### 💻 Web Scraping AI Agent
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Intelligently scrape websites using OpenAI API and the scrapegraphai library. Specify the URL and extraction requirements, and let the AI agent handle the rest.
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## 🚀 Getting Started
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1. Clone the repository
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```bash
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git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
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```
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2. Navigate to the desired project directory
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```bash
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cd awesome-llm-apps/chat_with_gmail
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```
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3. Install the required dependencies
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```bash
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pip install -r requirements.txt
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```
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4. Follow the project-specific instructions in each project's README.md file to set up and run the app.
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## 🤝 Contributing to Opensource
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Contributions are welcome! If you have any ideas, improvements, or new apps to add, please create a new [GitHub Issue](https://github.com/Shubhamsaboo/awesome-llm-apps/issues) or submit a pull request. Make sure to follow the existing project structure and include a detailed README.md for each new app.
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