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awesome-llm-apps
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Stars: 13482
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Awesome LLM Apps is a curated collection of applications that leverage RAG with OpenAI, Anthropic, Gemini, and open-source models. The repository contains projects such as Local Llama-3 with RAG for chatting with webpages locally, Chat with Gmail for interacting with Gmail using natural language, Chat with Substack Newsletter for conversing with Substack newsletters using GPT-4, Chat with PDF for intelligent conversation based on PDF documents, and Chat with YouTube Videos for engaging with YouTube video content through natural language. Users can clone the repository, navigate to specific project directories, install dependencies, and follow project-specific instructions to set up and run the apps. Contributions are encouraged, and new app ideas or improvements can be submitted via pull requests.
README:
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.
- π‘ Discover practical and creative ways LLMs can be applied across different domains, from code repositories to email inboxes and more.
- π₯ Explore apps that combine LLMs from OpenAI, Anthropic, Gemini, and open-source alternatives with RAG and AI Agents.
- π Learn from well-documented projects and contribute to the growing open-source ecosystem of LLM-powered applications.
- πΌ AI Customer Support Agent
- π AI Investment Agent
- π¨ββοΈ AI Legal Agent Team
- πΌ AI Recruitment Agent Team
- π¨βπΌ AI Services Agency
- ποΈββοΈ AI Health & Fitness Planner Agent
- π AI Startup Trend Analysis Agent
- ποΈ AI Journalist Agent
- π² AI Finance Agent Team
- 𧲠AI Competitor Intelligence Agent Team
- π― AI Lead Generation Agent
- π° AI Personal Finance Agent
- π©» AI Medical Scan Diagnosis Agent
- π¨βπ« AI Teaching Agent Team
- π« AI Travel Agent
- π¬ AI Movie Production Agent
- π° Multi-Agent AI Researcher
- π AI Meeting Agent
- β AI Chess Agent Game
- π Local News Agent OpenAI Swarm
- π AI Finance Agent with xAI Grok
- π§ AI Reasoning Agent
- 𧬠Multimodal AI Agent
- π Autonomous RAG
- π Agentic RAG
- π Llama3.1 Local RAG
- 𧩠RAG-as-a-Service
- π¦ Local RAG Agent
- π RAG App with Hybrid Search
- π₯οΈ Local RAG App with Hybrid Search
- π RAG Agent with Database Routing
- π Corrective RAG Agent
- πΎ AI Arxiv Agent with Memory
- π LLM App with Personalized Memory
- π©οΈ AI Travel Agent with Memory
- ποΈ Local ChatGPT with Memory
- π¬ Chat with GitHub Repo
- π¨ Chat with Gmail
- π Chat with PDF
- π Chat with Research Papers
- π Chat with Substack Newsletter
- π½οΈ Chat with YouTube Videos
- π§ͺ Gemini Multimodal Chatbot
- π Mixture of Agents
- π MultiLLM Chat Playground
- π LLM Router App
- π¬ Local ChatGPT Clone
- π Web Scraping AI Agent
- π Web Search AI Assistant
- π§ͺ Cursor AI Experiments
-
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_X_tutorials/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 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.
π Donβt miss out on future updates! Star the repo now and be the first to know about new and exciting LLM apps with RAG and AI Agents.
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Awesome LLM Apps is a curated collection of applications that leverage RAG with OpenAI, Anthropic, Gemini, and open-source models. The repository contains projects such as Local Llama-3 with RAG for chatting with webpages locally, Chat with Gmail for interacting with Gmail using natural language, Chat with Substack Newsletter for conversing with Substack newsletters using GPT-4, Chat with PDF for intelligent conversation based on PDF documents, and Chat with YouTube Videos for engaging with YouTube video content through natural language. Users can clone the repository, navigate to specific project directories, install dependencies, and follow project-specific instructions to set up and run the apps. Contributions are encouraged, and new app ideas or improvements can be submitted via pull requests.
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