Run AI Agents for FREE with OLLAMA in Just 5 Minutes!
TL;DR: Discover how to create free AI agents in just 5 minutes with OLLAMA! This video will teach you about building agentic AI locally for your projects.
TB;DC: Looking for a practical and affordable way to create powerful AI agents? In this Ollama tutorial, we’ll show you how to build local AI agents that are cost-effective, privacy-friendly, and easy to deploy on your own machine.
This video covers everything you need to know to get started with AI projects using local models:
Step-by-step guide to install and use Ollama for AI deployment.
How to set up and run local agents with LangGraph Studio.
A detailed comparison of models like Qwen-2.5 and Llama 3.2.
Solutions for running fast AI solutions with smaller, lightweight models.
Whether you’re an AI enthusiast or a developer building your next big project, this Ollama guide will help you explore how to build AI agents without breaking the bank. Plus, learn how to design workflows for tool calling, data analysis, and more!
Resources mentioned in the video:
GitHub Repo (links)
Starting point: https://github.com/KoushikJit/langgraph-researcher-json
Final code: https://github.com/KoushikJit/localagent-ollama
Previous videos on LangGraph and Ollama (links)
Langgraph Studio Tutorial: • Build Advanced AI Agents Quickly: Lan...
Research Agent (OPENAI): • Build AI Agents that Do Research for ...
Ollama Setup & Walkthrough: • Ollama.ai: A Developer's Quick Start ...
Have you tried creating free AI solutions using local models? Which one worked best for you? Share your thoughts in the comments below!
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