How to Build Your Own Local AI: Create Free RAG and AI Agents with Qwen 3 and Ollama

In this comprehensive tutorial, I walk through building your own local AI system using Qwen 3 and Ollama. Learn how to create powerful RAG (Retrieval-Augmented Generation) systems and AI agents that run entirely on your machine - no API costs, complete privacy, and full control.

What You’ll LearnLink to heading

Setting up Qwen 3 with Ollama for local inference
Building a RAG system for document question-answering
Creating AI agents that can interact with local data
Optimizing performance for consumer hardware
Best practices for prompt engineering with local models

Read the full article on freeCodeCamp:
🔗 https://www.freecodecamp.org/news/build-local-ai-rag-agents-qwen-ollama/

This article was originally published on freeCodeCamp.

# How to Create a Python SIEM System Using AI and LLMs for Log Analysis and Anomaly Detection

2025-02-28 1 min read

Build a modern Security Information and Event Management (SIEM) system powered by AI and Large Language Models. This tutorial demonstrates how to leverage LLMs for intelligent log analysis, anomaly…

# How to Build Your Own Local AI: Create Free RAG and AI Agents with Qwen 3 and Ollama

What You’ll LearnLink to heading

# How to Create a Python SIEM System Using AI and LLMs for Log Analysis and Anomaly Detection