Content by Alireza Chegini | AI Skills for Your Career (5)

Alireza Chegini guides viewers through building and customizing an AI agent on Azure AI Foundry, covering setup, RAG chatbot features, and resource management essentials.

Alireza Chegini | AI Skills for Your Career explains Retrieval-Augmented Generation (RAG) at a high level, why it matters for LLM apps, and how retrieval of up-to-date external data can improve answer accuracy compared to using a standalone model.

Alireza Chegini | AI Skills for Your Career shows how to run n8n locally with Docker and use MCP (Model Context Protocol) community nodes to build an AI agent workflow that connects to tools like Brave Search, adds memory, and can be tested end-to-end without writing code.

Alireza Chegini presents a comprehensive tutorial for developers on how to set up and run generative AI agents locally with LM Studio and n8n, highlighting installation, workflow creation, and free experimentation.

Alireza Chegini shares a practical workflow to automate Gmail sorting using n8n and OpenAI, empowering viewers to boost productivity and manage email chaos efficiently.