All the articles with the tag "ollama".
Traditional automation is just very fast copy-paste. When your email filter breaks because someone wrote "URGENT" in lowercase, you realize rule-based logic has limits. Connecting n8n to a local LLM turns "if this then that" into "figure this out and do the right thing."
Stop paying per-token to ask questions about your own documents. This guide walks you through building a fully local RAG pipeline with Ollama and ChromaDB, from Docker Compose to Python code, so your AI can actually know things without hallucinating them.
Most people use OpenAI's embeddings because it's easy. But local embeddings exist. How to pick and when it actually matters.
Before you download a 70B model, calculate if it fits. The formulas, the gotchas, and a quick calculator you can actually use.
Google's Gemma 4 is the best open model they've shipped yet. Here's how to pull it, run it, and actually use it for real work with Ollama on your own hardware.
vLLM, llama.cpp, and Ollama all run local LLMs, compare throughput, memory use, GPU support, and which fits your hardware.
Ollama can load one model at a time on limited hardware. How to switch between models, use CPU offloading, and manage VRAM intelligently.
Connect n8n to Ollama or any local LLM to build smart automations that classify, summarize, and triage, not just shuffle data around blindly.
Ollama makes running local LLMs dead simple, pull a model, start the server, and get a private ChatGPT running on your own hardware.
