semantic-search
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.
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。
How to install
dsh plugin add github:JohnXu22786/semantic-search About
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) …
Recommendation signals
Meta
- License
- MIT
- Language
- TypeScript
- GitHub stars
- 2
- mo. downloads
- –
- Last push
- 2026-09-24
- Created
- 2026-08-20
Links
Basic safety check
- Findings
- curated 收录但无 npm 包/安装命令
- Sources
- curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
- Topics
- deepseek-harness, dsh, dsh-plugin
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