Setting Up Local AI Infrastructure with LLMs and RAG - Complete Guide

Overview

Learn to deploy a complete local AI infrastructure using the self-hosted AI starter kit from n8n in this comprehensive tutorial video. Master setting up essential components including Llama with Ollama for local AI processing, Qdrant for vector database management, PostgreSQL for data storage, and n8n for workflow automation. Follow detailed installation steps from cloning the repository to configuring the environment, launching with Docker, and establishing Google Drive integration. Explore key benefits like zero cloud costs, complete data privacy, and full stack ownership while implementing proper chunking strategies and testing procedures. Discover practical use cases for company knowledge bases, custom data integration, and private AI development. Navigate common challenges including Ollama conflicts, Google Drive authentication, and vector database indexing through step-by-step guidance and troubleshooting tips. Perfect for developers seeking to build scalable, self-hosted AI solutions with complete control over their infrastructure.

Syllabus

- Introduction to Self-hosted AI Starter Kit
- Overview of Components Ollama, Quadrant, Postgres
- Key Benefits & Problem Solutions
- RAG Agent Architecture Explanation
- Installation & Setup Process
- Creating AI Agent in N8N
- Database Setup Vector Database Configuration
- Setting up Google Drive Integration
- File Processing & Data Extraction Steps
- Testing the RAG System
- Conclusion