Ollama: Democratizing AI for Private Use Cases This article explores how Ollama, a local AI model server, is democratizing AI by making it accessible for private use cases, offering benefits like data sovereignty, cost savings, and enhanced security. It discusses practical applications, including code assistance, log analysis, and internal support automation, and highlights the potential for a hybrid cloud-local AI approach. Motor: Install Ollama to manage the models. Interface: Install AnythingLLM (or an alternative) so that employees can upload PDFs, DOCs or websites. Connection: Configure AnythingLLM so that when it asks a question, it sends it to the Ollama API instead of OpenAI. The result? A 100% private internal document query system, without token charges and running on a server in the office. Practical uses: More than just asking for the tortilla recipe Well, what do we use this for in the real world, besides prototyping? Private code assistant: ForgeNEX developers can use codellama (a model fine-tuned for code) directly in their VSCode (with extensions like Continue). They can ask it to review their code, generate boilerplate or explain a complex block, without risking intellectual property leakage from a client. Server log analysis: A sysadmin can dump 5000 lines of an nginx or syslog log into the Ollama API and ask: "Summarize the 500 errors and tell me the most problematic IPs". Zero security risk. Internal support triage: Automate the classification of support tickets by reading the employee's email and using a local model to categorize it (Hardware, Software, Network) before assigning it. Test data generation: "Act as a REST API and generate 20 examples of users in JSON format with fictitious names, DNI and Spanish addresses." The real democratization of AI Cloud AI will continue to dominate tasks that require enormous power. But Ollama represents something deeper: the democratization and commoditization of AI. It has turned an esoteric and expensive technology into a tool, as accessible as a database or a web server. It returns sovereignty over our data and eliminates the economic barrier to experimentation. The future is not cloud or local; it is hybrid. We will use the cloud for the "heavy hammers" and our local AI for daily, sensitive and fast work. And thanks to Ollama, that local AI has just become accessible to (almost) everyone. Interested in exploring how a private AI solution could transform document management or automation in your company? Let's talk about the possibilities!