# Common Flow

## Tutorials and Demos
- [RAG Tutorials](https://github.com/vntutb05/awesome-llm-apps/tree/main/rag_tutorials/)
- [MCP AI Agents Demos](https://github.com/vntutb05/awesome-llm-apps/tree/main/mcp_ai_agents/)
- [LLM Finetuning Tutorials](https://github.com/vntutb05/awesome-llm-apps/tree/main/llm_finetuning_tutorials/)
- [LLM Apps with Memory Tutorials](https://github.com/vntutb05/awesome-llm-apps/tree/main/llm_apps_with_memory_tutorials/)
- [Chat with X Tutorials](https://github.com/vntutb05/awesome-llm-apps/tree/main/chat_with_X_tutorials/)
- [AI Agent Tutorials](https://github.com/vntutb05/awesome-llm-apps/tree/main/ai_agent_tutorials/)
- [Advanced Tools & Frameworks Demos](https://github.com/vntutb05/awesome-llm-apps/tree/main/advanced_tools_frameworks/)

## User Input
- UI / CLI: UserInput(UI/CLI)

## LLM Processing
- API / Local: LLMProcessing(API/Local)

## Auxiliary Modules
- Retrieval / Memory: AuxiliaryModules(Retrieval/Memory)

## Response Generation
- ResponseGeneration

## Demos
- Autonomous RAG Demo
- Hybrid Search Demo
- Corrective Agent Demo
- MCP AI Agent Demo
- LLM Finetuning Demo
- Memory Chat Demo
- Chat with GitHub
- Chat with Gmail
- Chat with PDF
- Customer Support Agent
- Chess Agent
- Investment Agent
- Gemini Multimodal Chatbot (Python, Gemini API)
- LLM Router App
- Cursor AI Experiments

## Resources
- [Awesome LLM Apps Repository](https://github.com/vntutb05/awesome-llm-apps/tree/main/repository%20root)