[Market Trends] Run ALL Your AI Locally in Minutes (LLMs, RAG, and more) | Cole Medin
📌 Your One-Stop Local AI Toolkit: Set Up, Automate, Dominate!
The video introduces a package by the n8n team that simplifies setting up local AI infrastructure. This package includes key components like llama for large language models (LLMs), Quadrant for vector databases, and Postgres for SQL databases, all tied together through workflow automations by n8n. The presenter guides viewers through the installation process, providing tips on filling gaps in the official documentation and setting up key components like environment variables, Docker compose files, and essential ports for Postgres and olama. The tutorial also demonstrates building a full retrieval-augmented generation (RAG) AI agent that uses Google Drive files as a knowledge base. The video emphasizes the growing power of open-source AI models and discusses future plans for expanding the package to improve its capabilities, such as adding Redis for caching and potentially creating a full-stack local AI solution.
