# 🌟 Awesome LLM Apps
A curated collection of awesome LLM apps using RAG with OpenAI, Anthropic, Gemini and opensource models.
## 📂 Projects
### 💻 Local Lllama-3 with RAG
Streamlit app that allows you to chat with any webpage using local Llama-3 and Retrieval Augmented Generation (RAG). This app runs entirely on your computer, making it 100% free and without the need for an internet connection.
### 📨 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
Streamlit app that allows you to chat with a Substack newsletter using OpenAI's API and the Embedchain library. This app leverages GPT-4 to provide accurate answers to questions based on the content of the specified Substack newsletter.
### 📄 Chat with PDF
Engage in intelligent conversation and question-answering based on the content of your PDF documents. Simply upload a PDF document and start asking questions. Chat with PDF will analyze the document, extract relevant information, and generate accurate responses to your queries.
### 📽️ Chat with YouTube Videos
Dive into the world of video content with interactive conversation and question-answering based on YouTube videos. Simply provide a YouTube video URL and start engaging with the video's content through natural language.
## 🚀 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/chat_with_gmail
```
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.
### 🤝 Contributing
Contributions are welcome! If you have any ideas, improvements, or new apps to add, please submit a pull request. Make sure to follow the existing project structure and include a detailed README.md for each new app.