Build a Local AI Assistant with Ollama and Open WebUI
A Juejin tutorial demonstrates running a local AI assistant with Ollama, Open WebUI, and Qwen2.5-7B on Ubuntu 22.04. It covers command-line interaction, Python API calls, browser-based chat, document-upload retrieval, quantization, GPU selection, and concurrency settings. The article presents local deployment as a way to keep conversations and files on the local machine, but its privacy, cost, and performance claims are not independently verified here.
The tutorial gives developers concrete steps and code for assembling a self-hosted assistant with model serving and a web interface, covering both basic API access and document retrieval.
AI开源工具实操体验：解锁本地智能新玩法
在云端大模型风靡的今天，把大模型"搬回家"的本地化部署正成为开发者圈的新潮流。本文将带你实操两款主流开源工具——Ollama 与 Open WebUI，从零搭建一套完全离线、私密可控的本地 AI 助手，并附上可直接运行的代码演示。
一、为什么选择本地部署
- 数据安全：对话与文件不出本机，规避敏感信息外泄风险。
- 零成本调用：无限次推理，无需按 Token 付费。
- 自由定制：可微调、可剪枝，真正拥有你的模型。
二、环境准备
以 Ubuntu 22.04 + Python 3.10 为例，确保已安装 Git 与 Docker（可选）。