A curated collection of awesome LLM apps using RAG with OpenAI, Anthropic, Gemini and opensource models.
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.
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).
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.
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.
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.
- Clone the repository
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git - Navigate to the desired project directory
cd awesome-llm-apps/chat_with_gmail - Install the required dependencies
pip install -r requirements.txt- Follow the project-specific instructions in each project's README.md file to set up and run the app.
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.