/awesome-llm-apps

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

Primary LanguagePythonCreative Commons Zero v1.0 UniversalCC0-1.0

Unwind AI

LinkedIn Twitter


🌟 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.

πŸ“‘ Table of Contents

πŸ€” Why Awesome LLM Apps?

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

πŸ“‚ Featured Projects

πŸ’» 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.

🎯 Generative AI Web Search Assistant

Get pinpointed answers to your queries by combining search engines and LLMs using OpenAI's GPT-4 and the DuckDuckGo search engine for accurate responses.

πŸ’¬ Chat with GitHub Repo

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

πŸ“ˆ AI Investment Agent

AI investment agent that compares the performance of two stocks and generates detailed stock reports with company insights, news, and analyst recommendations to help you make smart investment choices.

πŸ—žοΈ AI Journalist Agent

AI-powered journalist agent that generates high-quality articles using OpenAI GPT-4o. It automates the process of researching, writing, and editing articles, allowing you to create compelling content on any topic with ease.

πŸ’° AI Personal Finance Agent

AI-powered personal finance planner that generates personalized financial plans using OpenAI GPT-4o. It automates the process of researching, planning, and creating tailored budgets, investment strategies, and savings goals.

πŸ›« AI Travel Agent

AI-powered travel Agent that generates personalized travel itineraries using OpenAI GPT-4o. It automates the process of researching, planning, and organizing your dream vacation, allowing you to explore exciting destinations with ease.

πŸ“° Multi-Agent AI Researcher

Use a team of AI agents to research top HackerNews stories and users with GPT-4 to generate blog posts, reports, and social media content on autopilot.

πŸ“„ Chat with PDF

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

πŸ’» 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.

πŸ“¨ 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).

πŸ“½οΈ 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.

πŸ”Ž Chat with Arxiv Research Papers

Explore the vast knowledge in arXiv research papers through interactive conversations using GPT-4 and unlock insights from millions of research papers.

πŸ“ 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.

πŸš€ Getting Started

  1. Clone the repository

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

    cd awesome-llm-apps/chat_with_gmail 
  3. Install the required dependencies

    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 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.

Thank you community for the support πŸ™

Star History Chart

🌟 Don’t miss out on future updates! Star the repo now and be the first to know about new and exciting LLM applications with RAG.