Learn how to deploy and scale Ollama LLM models on Kubernetes clusters for production-ready AI applications

Retrieval-Augmented Generation (RAG) has revolutionized how we build intelligent applications that can access and reason over external knowledge bases. In this comprehensive tutorial, we’ll explore how to build production-ready RAG applications using Ollama and Python, leveraging the latest techniques and best practices for 2025. What is RAG and Why Use Ollama? Retrieval-Augmented Generation combines the […]

Ollama vs ChatGPT 2025: A Comprehensive Comparison A  comprehensive technical analysis comparing local LLM deployment via Ollama against cloud-based ChatGPT APIs, including performance benchmarks, cost analysis, and implementation strategies The artificial intelligence landscape has reached a critical inflection point in 2025. Organizations worldwide face a fundamental strategic decision that will define their AI capabilities for […]

Top Picks for Best Ollama Models 2025 A comprehensive technical analysis of the most powerful local language models available through Ollama, including benchmarks, implementation guides, and optimization strategies Introduction to Ollama’s 2025 Ecosystem The landscape of local language model deployment has dramatically evolved in 2025, with Ollama establishing itself as the de facto standard for […]

Ollama Python Integration: A Complete Guide Running large language models locally has become increasingly accessible thanks to tools like Ollama. This comprehensive guide will walk you through setting up and using Ollama with Python, enabling you to harness the power of AI models directly on your machine. What is Ollama? Ollama is an open-source platform […]

Ollama vs Docker Model Runner: Key Differences Explained In recent months, the LLM deployment landscape has been evolving rapidly, with users experiencing frustration with some existing solutions. A Reddit thread titled “How to move on from Ollama?” highlights growing discontent with Ollama’s performance and reliability issues. As Docker enters this space with Model Runner, it’s […]

AI is rapidly transforming how we build software—but testing it? That’s still catching up. If you’re building GenAI apps, you’ve probably asked:“How do I test LLM responses in CI without relying on expensive APIs like OpenAI or SageMaker?” In this post, I’ll show you how to run large language models locally in GitHub Actions using […]

Have you ever wished you could build smart AI agents without shipping your data to third-party servers? What if I told you you can run powerful language models like Llama3 directly on your machine while building sophisticated AI agent systems? Let’s roll up our sleeves and create a self-contained AI development environment using Ollama and […]

Hi guys, let’s dive into the world of building brainy chatbots! You know, the ones that can actually do things and not just parrot back information. Lately, I’ve been playing around with some really cool tech, LangGraph,MCP and Ollama and let me tell you, the potential is mind-blowing. We’re talking about creating multi-agent chatbots for […]

Meta’s release of the Llama 4 family represents a significant architectural leap forward in the domain of Large Language Models (LLMs). This technical deep dive explores the sophisticated architectural components, training methodologies, and performance optimizations that underpin the Llama 4 models, with particular focus on the mixture-of-experts (MoE) architecture and multimodal capabilities that define this […]

As AI and large language models become increasingly popular, many developers are looking to integrate these powerful tools into their Python applications. Ollama, a framework for running large language models locally, has gained traction for its simplicity and flexibility. However, when it comes to containerizing applications that use Ollama, developers often encounter challenges. In this […]

Ollama Models Setup: A Comprehensive Guide Running large language models locally has become much more accessible thanks to projects like Ollama. In this guide, I’ll walk you through how to set up Ollama and run your favorite models using Docker Compose, making deployment and management much simpler. Why Docker Compose? While you can run Ollama […]

If you’ve been working with Ollama for running large language models, you might have wondered about parallelism and how to get the most performance out of your setup. I recently went down this rabbit hole myself while building a translation service, and I thought I’d share what I learned. So, Does Ollama Use Parallelism Internally? […]

In the rapidly evolving world of artificial intelligence, a new star is emerging: Small Language Models (SLMs). While large language models have dominated recent headlines, these compact yet powerful AI solutions are carving out a critical niche that promises to reshape how businesses and industries approach artificial intelligence. What Makes Small Language Models Special? Unlike […]

First and foremost, what is Gemma? Gemma is a family of open, lightweight, state-of-the-art AI models developed by Google, built from the same research and technology used to create the Gemini models, designed to democratize AI and empower developers and researchers. Running generative artificial intelligence (AI) models like Gemma can be challenging without the right […]

Introduction: The Ollama Promise As organizations seek alternatives to cloud-based AI services, Ollama has gained significant traction for its ability to run large language models locally. While its simplicity and privacy advantages are compelling, a crucial question remains: Is Ollama truly ready for production environments? In this analysis, we’ll examine the current state of Ollama […]

Introduction Large Language Models (LLMs) have become increasingly accessible to developers and enthusiasts, allowing anyone to run powerful AI models locally on their own hardware. Ollama has emerged as one of the leading frameworks for deploying, running, and customizing these models without requiring extensive computational resources or cloud infrastructure. One of Ollama’s most powerful features […]

In this technical deep dive, I’ll walk through creating a complete Retrieval-Augmented Generation (RAG) agent using DeepSeek-R1 and Ollama. This approach combines the powerful reasoning capabilities of DeepSeek-R1 with the local deployment flexibility of Ollama to create an efficient, customizable knowledge retrieval system. Introduction to DeepSeek-R1 and Ollama DeepSeek-R1 is a reasoning-focused large language model […]

I’ve been getting this question a lot lately: “Do I really need a GPU to run Ollama?” It’s a fair question, especially if you’re just dipping your toes into the world of local LLMs. So today, let’s break down the real deal with Ollama and GPUs in a way that hopefully makes sense whether you’re […]