Master AI Locally: Build Your Own Private AI Agent with Ease

Artificial Intelligence is rapidly transforming the world, and while cloud-based AI solutions dominate the industry, running AI locally offers greater privacy, control, and cost savings. Whether you're developing AI-powered applications, fine-tuning large language models, or deploying AI agents for specific tasks, a robust local AI stack can be an excellent alternative to cloud solutions.

This guide explores how to set up and run a fully local AI solution using the following key components:

• Ollama for running LLMs (Large Language Models)
• Qdrant for Retrieval-Augmented Generation (RAG)
• PostgreSQL as the SQL database
• n8n for no-code workflow automation

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