Flowise vs Dify with Ollama: No-Code Local AI App Builders Compared

Flowise and Dify are two of the most capable no-code platforms for building AI applications with local models. Both connect to Ollama, both let you build RAG pipelines and chatbots visually, and both run self-hosted with no data leaving your infrastructure. But they have meaningfully different approaches and strengths — this guide covers what each … Read more

How to Connect Ollama to n8n for Local AI Workflows

n8n is an open-source workflow automation tool — think Zapier or Make, but self-hosted, and with first-class support for AI nodes that can call local LLMs. Connecting it to Ollama gives you a powerful combination: visual workflow automation with local AI processing, running entirely on your own infrastructure. You can build pipelines that classify emails, … Read more

How to Use Ollama with Zed Editor for AI-Assisted Coding

Zed is a fast, GPU-accelerated code editor built in Rust that’s been gaining serious traction among developers who want VS Code’s capabilities without its memory overhead. Its AI assistant feature — Zed Assistant — supports custom AI backends including Ollama, which means you can get AI-assisted coding in one of the fastest editors available, backed … Read more

Best Coding Models for Ollama in 2026: CodeGemma, WizardCoder, StarCoder2 and More

Ollama’s model library has more coding-specific models than most people realise, and choosing the right one for your hardware and workflow makes a bigger difference than it might seem. General-purpose models like Llama 3.1 or Mistral handle code adequately, but dedicated coding models — trained on much larger and more diverse code corpora — produce … Read more

How to Run Qwen 2.5 72B Locally with Ollama

Qwen 2.5 72B is Alibaba’s largest open-weight model and one of the most capable you can run locally. At 72 billion parameters it’s in the same tier as Llama 3.1 70B and Mixtral 8x22B, but it benchmarks ahead of both on several tasks — particularly coding, mathematics, and multilingual work. If your hardware can handle … Read more