knowledge-engineering
Introduction
工业级RAG切片工具「可落地、可量化、可优化」,将RAG知识库长文档拆解为语义完整、检索就绪的原子化知识切片，内置多层质量门禁（校验→审计→检索可达性评估），确保切片可用性与RAG检索命中率。
Resource Information
License information is collected from official sources and may be outdated or missing. Refer to the LICENSE file in the original repository before commercial use.
Installation
Choose your platform
pip install sentence-transformers
Dependencies
使用本 skill 前请确认以下环境已就绪： 依赖项 最低版本 安装命令 说明 :--- :--- :--- :--- Python 3.8 — 全平台通用，Windows/Linux/macOS 均可 sentence-transformers — `pip install sentence-transformers` 检索评估（§8.5），首次运行自动下载默认模型 ~90MB numpy — `pip install numpy` 数值计算支撑 pyyaml — `pip install pyyaml` YAML 切片元数据解析 **一键安装**：`pip install sentence-transformers numpy pyyaml` **磁盘空间**：首次运行需额外 ~90MB（模型下载）。若网络受限，sentence-transformers 缺失时系统自动降级为 PurePythonEmbedder（TF-IDF，零外部依赖，评估精度约
{'desc': 'sentence-transformers — 检索评估（§8.5），首次运行自动下载默认模型 ~90MB', 'cmd': 'pip install sentence-transformers'}
{'desc': 'numpy — 数值计算支撑', 'cmd': 'pip install numpy'}
{'desc': 'pyyaml — YAML 切片元数据解析', 'cmd': 'pip install pyyaml'}
{'desc': '*一键安装**', 'cmd': 'pip install sentence-transformers numpy pyyaml'}
Supported platforms
Information boundary
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