Rag
Description
Minimal RAG implementation using OpenAI embeddings — clean starting point for retrieval-augmented generation
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
RAG 项目
这是一个使用 OpenAI API 生成文本嵌入向量的项目。
环境设置
本项目使用 uv 进行依赖管理。
安装依赖
# 激活虚拟环境
source .venv/bin/activate
# 安装依赖
uv pip install -r requirements.txt
环境变量
复制 `.env.example` 文件为 `.env` 并填入你的 API 密钥:
cp .env.example .env
# 编辑 .env 文件,填入你的 API 密钥
运行
python embedding.py
Contact
If you have questions, ideas, or want to collaborate:
| 3268007793@qq.com | |
| 📱 Phone / WeChat | 18550207121 |
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