🌟 My LLM-RAG-AI-Experiments

My learnings via LLM Apps Experiments 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.

AI Agents

• 💼 AI Customer Support Agent
• 📈 AI Investment Agent
• 🗞️ AI Journalist Agent
• 💲 AI Finance Agent Team
• 💰 AI Personal Finance Agent
• 🛫 AI Travel Agent
• 🎬 AI Movie Production Agent
• 📰 Multi-Agent AI Researcher
• 📑 AI Meeting Agent
• 🌐 Local News Agent OpenAI Swarm
• 📊 AI Finance Agent with xAI Grok

RAG (Retrieval Augmented Generation)

• 🔍 Autonomous RAG
• 🔗 Agentic RAG
• 🔄 Llama3.1 Local RAG
• 🧩 RAG-as-a-Service
• 🦙 Local RAG Agent

LLM Apps with Memory

• 💾 AI Arxiv Agent with Memory
• 📝 LLM App with Personalized Memory
• 🛩️ AI Travel Agent with Memory
• 🗄️ Local ChatGPT with Memory

Chat with X

• 💬 Chat with GitHub Repo
• 📨 Chat with Gmail
• 📄 Chat with PDF
• 📚 Chat with Research Papers
• 📝 Chat with Substack Newsletter
• 📽️ Chat with YouTube Videos

LLM Finetuning

• 🌐 Llama3.2 Finetuning

Advanced Tools and Frameworks

• 🧪 Gemini Multimodal Chatbot
• 🔄 Mixture of Agents
• 🌐 MultiLLM Chat Playground
• 🔗 LLM Router App
• 💬 Local ChatGPT Clone
• 🌍 Web Scraping AI Agent
• 🔍 Web Search AI Assistant
• 🧪 Cursor AI Experiments

🚀 Getting Started

1. Clone the repository

   git clone https://github.com/sachnaror/LLM-RAG-AI-Experiments.git

2. Navigate to the desired project directory

   cd LLM-RAG-AI-Experiments/chat_with_X/chat_with_gmail

3. Install the required dependencies

   pip install -r requirements.txt