In the video titled “Run ALL Your AI Locally in Minutes (LLMs, RAG, and more)”, Cole Medin introduces viewers to a comprehensive local AI setup that combines several powerful tools for creating AI agents. The protagonist highlights the ease of using Ollama for large language models (LLMs), Qdrant for retrieval-augmented generation (RAG), Postgres for SQL database management, and n8n for no-code workflow automation. Medin walks through the installation process, explaining each component and its role in the local AI ecosystem. He emphasizes the accessibility of this setup, allowing users to run powerful AI applications on their own hardware without relying on cloud services. The video includes a step-by-step guide on how to configure and integrate these tools, demonstrating how to build a fully functional RAG AI agent. Medin also discusses the advantages of running AI locally, such as improved privacy and reduced costs compared to cloud-based solutions. By the end of the video, viewers are encouraged to experiment with this local AI package and consider its applications in their own projects. This engaging presentation not only showcases the capabilities of the local AI setup but also inspires viewers to explore the future of AI technology.