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If you run a self-hosted stack on Coolify (v4), you likely have powerful AI tools like n8n, Flowise, LangFlow, and OpenSearch running side-by-side. But there is a catch: out of the box, Coolify assigns them long, random container names like n8n-cs0gs0kogswgsgwk....
Deploying AI tools like Langflow on self-hosted hardware (like the generous Oracle Cloud ARM Free Tier) gives you total control over your data and costs. While tools like Coolify make deployment easy, Langflow has a few quirks regarding data persistence and admin...
A comprehensive guide for self-hosting AnythingLLM with Docker, Caddy, and Ollama
Introduction: Empowering Analysts and Automating with Flowise & n8n
Running your own Large Language Model (LLM) interface offers fantastic benefits like privacy, customization, and potentially lower costs compared to hosted services. Open Web UI is a popular, user-friendly interface for interacting with local LLMs managed by Ollama.
Self-hosting Large Language Models (LLMs) is becoming increasingly accessible, offering benefits like privacy, cost savings, and customization. Ollama makes it incredibly simple to run open-source models like Llama 3, Phi-3, Mistral, and more, right on your own hardware.