项目概述
Retrieval Augmented Generation (RAG) chatbot powered by Weaviate
项目地址
https://github.com/weaviate/Verba
项目页面预览

关键指标
- Stars:7512
- 主要语言:Python
- License:BSD 3-Clause “New” or “Revised” License
- 最近更新:2025-07-14T11:24:41Z
- 默认分支:main
本站高速下载(国内可用)
- 源码压缩包下载:点击下载(本站镜像)
- SHA256:617afb0e0b69058aef6fb20b2f39c37f1531139e397c05f842fa7aa62adf6e4e
安装部署要点(README 精选)
Select your Deployment
The first screen you’ll see is the deployment screen. Here you can select between Local, Docker, Weaviate Cloud, or Custom deployment. The Local deployment is using Weaviate Embedded under the hood, which initializes a Weaviate instance behind the scenes. The Docker deployment is using a separate Weaviate instance that is running inside the same Docker network. The Weaviate Cloud deployment is using a Weaviate instance that is hosted on Weaviate Cloud Services (WCS). The Custom deployment allows you to specify your own Weaviate instance URL, PORT, and API key.
You can skip this part by setting the DEFAULT_DEPLOYMENT environment variable to Local, Docker, Weaviate, or Custom.
常用命令(从 README 提取)
pip install goldenverba
pip install goldenverba
git clone https://github.com/weaviate/Verba
pip install -e .
通用部署说明(适用于大多数项目)
- 下载源码并阅读 README
- 安装依赖(pip/npm/yarn 等)
- 配置环境变量(API Key、模型路径、数据库等)
- 启动服务并测试访问
- 上线建议:Nginx 反代 + HTTPS + 进程守护(systemd / pm2)
免责声明与版权说明
本文仅做开源项目整理与教程索引,源码版权归原作者所有,请遵循对应 License 合规使用。








暂无评论内容