🔥 Complete Guide: Self-Hosted AI Starter Kit Setup & RAG Agent Creation
Discover how to set up your complete local AI infrastructure in minutes using the self-hosted AI starter kit from n8n! Run AI locally with zero cloud costs, deploy quickly, and maintain 100% data privacy.
Top resource to learn AI for developers: https://datacamp.pxf.io/19rxea
🚀 What You'll Learn:
Complete local AI setup with Llama + Ollama
Vector database integration with Qdrant
Data storage with PostgreSQL
Workflow automation with n8n
Building full RAG AI agents
💻 Technical Components:
Docker Desktop
GitHub Desktop
Ollama with Llama 2
Nomic Embed Text for embeddings
PostgreSQL for data storage
n8n for workflow automation
⚡️ Key Benefits:
Zero ongoing cloud costs
Complete data privacy & control
Simple local deployment
Scalable infrastructure
Full ownership of AI stack
📝 Installation Steps:
Clone repo: self-hosted-AI-starter-kit
Configure environment
Launch with Docker
Set up AI agent
Configure vector database
Set up Google Drive integration
🔗 Important Links:
GitHub Repository: https://github.com/n8n-io/self-hosted...
Blog Tutorial: https://mer.vin/2024/12/self-hosted-a...
Chunking Strategy: • Chunking Strategies in RAG: Optimising Dat...
🛠️ Prerequisites:
Docker Desktop
GitHub Desktop
Google Cloud Console access for Drive API
💡 Pro Tips:
Disable local Ollama if running Docker version
Use proper chunking strategies for text splitting
Follow Google OAuth setup carefully
Test each workflow step individually
⚠️ Common Issues & Solutions:
Ollama conflicts with local installation
Google Drive authentication setup
Vector database indexing requirements
Workflow testing procedures
🔍 Use Cases:
Company knowledge base
Custom data integration
Private AI development
Scalable AI solutions
Need help? Drop your questions in the comments below! 👇
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Timestamp:
0:00 - Introduction to Self-hosted AI Starter Kit
0:32 - Overview of Components (Ollama, Quadrant, Postgres)
0:56 - Key Benefits & Problem Solutions
1:48 - RAG Agent Architecture Explanation
3:09 - Installation & Setup Process
5:07 - Creating AI Agent in N8N
7:05 - Database Setup (Vector Database Configuration)
8:21 - Setting up Google Drive Integration
10:44 - File Processing & Data Extraction Steps
12:38 - Testing the RAG System
14:41 - Conclusion
