base on Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models. <p align="center"> <a href="http://www.theunwindai.com"> <img src="docs/banner/unwind_black.png" width="900px" alt="Unwind AI"> </a> </p> <p align="center"> <a href="https://www.linkedin.com/in/shubhamsaboo/"> <img src="https://img.shields.io/badge/-Follow%20Shubham%20Saboo-blue?logo=linkedin&style=flat-square" alt="LinkedIn"> </a> <a href="https://twitter.com/Saboo_Shubham_"> <img src="https://img.shields.io/twitter/follow/Shubham_Saboo" alt="Twitter"> </a> </p> <hr/> # 🌟 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. <p align="center"> <a href="https://trendshift.io/repositories/9876" target="_blank"> <img src="https://trendshift.io/api/badge/repositories/9876" alt="Shubhamsaboo%2Fawesome-llm-apps | Trendshift" style="width: 250px; height: 55px;" /> </a> </p> ## 🤔 Why Awesome LLM Apps? - 💡 Discover practical and creative ways LLMs can be applied across different domains, from code repositories to email inboxes and more. - 🔥 Explore apps that combine LLMs from OpenAI, Anthropic, Gemini, and open-source alternatives with RAG and AI Agents. - 🎓 Learn from well-documented projects and contribute to the growing open-source ecosystem of LLM-powered applications. ## 📂 Featured AI Projects ### AI Agents - [💼 AI Customer Support Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_customer_support_agent) - [📈 AI Investment Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_investment_agent) - [👨‍⚖️ AI Legal Agent Team](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_legal_agent_team) - [👨‍💼 AI Services Agency](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_services_agency) - [🏋️‍♂️ AI Health & Fitness Planner Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_health_fitness_agent) - [📈 AI Startup Trend Analysis Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_startup_trend_analysis_agent) - [🗞️ AI Journalist Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_journalist_agent) - [💲 AI Finance Agent Team](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_finance_agent_team) - [💰 AI Personal Finance Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_personal_finance_agent) - [🛫 AI Travel Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_travel_agent) - [🎬 AI Movie Production Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_movie_production_agent) - [📰 Multi-Agent AI Researcher](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/multi_agent_researcher) - [📑 AI Meeting Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_meeting_agent) - [🌐 Local News Agent OpenAI Swarm](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/local_news_agent_openai_swarm) - [📊 AI Finance Agent with xAI Grok](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/xai_finance_agent) - [🧠 AI Reasoning Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/ai_reasoning_agent) - [🧬 Multimodal AI Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/ai_agent_tutorials/multimodal_ai_agent) ### RAG (Retrieval Augmented Generation) - [🔍 Autonomous RAG](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/autonomous_rag) - [🔗 Agentic RAG](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/agentic_rag) - [🔄 Llama3.1 Local RAG](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/llama3.1_local_rag) - [🧩 RAG-as-a-Service](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/rag-as-a-service) - [🦙 Local RAG Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/local_rag_agent) - [👀 RAG App with Hybrid Search](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/hybrid_search_rag) - [🖥️ Local RAG App with Hybrid Search](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/local_hybrid_search_rag) ### LLM Apps with Memory - [💾 AI Arxiv Agent with Memory](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/llm_apps_with_memory_tutorials/ai_arxiv_agent_memory) - [📝 LLM App with Personalized Memory](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/llm_apps_with_memory_tutorials/llm_app_personalized_memory) - [🛩️ AI Travel Agent with Memory](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/llm_apps_with_memory_tutorials/ai_travel_agent_memory) - [🗄️ Local ChatGPT with Memory](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/llm_apps_with_memory_tutorials/local_chatgpt_with_memory) ### Chat with X - [💬 Chat with GitHub Repo](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/chat_with_X_tutorials/chat_with_github) - [📨 Chat with Gmail](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/chat_with_X_tutorials/chat_with_gmail) - [📄 Chat with PDF](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/chat_with_X_tutorials/chat_with_pdf) - [📚 Chat with Research Papers](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/chat_with_X_tutorials/chat_with_research_papers) - [📝 Chat with Substack Newsletter](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/chat_with_X_tutorials/chat_with_substack) - [📽️ Chat with YouTube Videos](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/chat_with_X_tutorials/chat_with_youtube_videos) ### LLM Finetuning - [🌐 Llama3.2 Finetuning](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/llm_finetuning_tutorials/llama3.2_finetuning) ### Advanced Tools and Frameworks - [🧪 Gemini Multimodal Chatbot](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/advanced_tools_frameworks/gemini_multimodal_chatbot) - [🔄 Mixture of Agents](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/advanced_tools_frameworks/mixture_of_agents) - [🌐 MultiLLM Chat Playground](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/advanced_tools_frameworks/multillm_chat_playground) - [🔗 LLM Router App](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/advanced_tools_frameworks/llm_router_app) - [💬 Local ChatGPT Clone](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/advanced_tools_frameworks/local_chatgpt_clone) - [🌍 Web Scraping AI Agent](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/advanced_tools_frameworks/web_scrapping_ai_agent) - [🔍 Web Search AI Assistant](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/advanced_tools_frameworks/web_search_ai_assistant) - [🧪 Cursor AI Experiments](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/advanced_tools_frameworks/cursor_ai_experiments) ## 🚀 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 to Open Source 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. ### Thank You, Community, for the Support! 🙏 [](https://star-history.com/#Shubhamsaboo/awesome-llm-apps&Date) 🌟 **Don’t 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.** ", Assign "at most 3 tags" to the expected json: {"id":"9876","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"