semantic-search
面向 DeepSeek Harness 的本地语义代码搜索：片段级符号感知索引、离线词法 embedding（或 OpenAI 兼容端点）、向量+BM25 混合检索并以 RRF 融合——三个 dsh 工具外加 sema CLI。
Local semantic code search for DeepSeek Harness: fragment-level symbol-aware indexing, offline lexical embeddings or an OpenAI-compatible endpoint, and hybrid vector + BM25 retrieval fused with RRF - three dsh tools plus a sema CLI.
怎么安装
dsh plugin add github:JohnXu22786/semantic-search 简介
dsh-semantic-search Local semantic code search for DeepSeek Harness (dsh) — and any Node script. **中文文档：README.zh.md** sema builds a **fragment-level index of a workspace**: source is tokenized by a language-aware tokenizer (camel/snake/kebab splitting, CJK n-grams), chunked with symbol-aware boundaries (functions/classes stay intact), and embedded into fixed dimension vectors — **locally and dependency-free** by default (feature-hashed lexical TF-IDF), or via any OpenAI-compatible embedding endpoint. Queries run a **hybrid retrieval** (vector cosine + BM25, fused with reciprocal-rank fusion) …
推荐参考
信息
- 协议
- MIT
- 语言
- TypeScript
- GitHub 星标
- 2
- 月下载
- –
- 最近更新
- 2026-09-24
- 创建于
- 2026-08-20
基础安全检查
- 检查结果
- curated 收录但无 npm 包/安装命令
- 收录来源
- curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
- 主题标签
- deepseek-harness, dsh, dsh-plugin