Breeze136/dsh-kb-rag

Breeze136★ 4Python最后同步: 2026-08-19

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本地优先的文献知识库 RAG(DeepSeek Harness 插件):混合检索正文与图注,把模糊记忆定位到具体段落与图表,DOI 一键直达原文。Local-first literature RAG for DSH — turn a fuzzy memory into an exact passage/figure, one-click DOI to source.

README 摘要

kb-rag — Local Literature Knowledge-Base RAG (DSH Plugin) 把脑子里的模糊记忆,变成一条能点开的文献坐标。 Turn a fuzzy memory into an exact passage / figure — one-click DOI to source. Ingest once, search forever. Only the most relevant few sentences ever reach the LLM — and every claim carries exact provenance. Who it's for Graduate students and PhD researchers. An idea strikes, and you know it's somewhere in your library — but which paper said it, and where? kb-rag makes the whole pile queryable: hybrid retrieval + reranking associate the right passages, every answer lands on a clickable DOI (or the exact file), and the reply tells you what your library is still missing. Think it → find it → cite it. kb-rag is a lightweight local database-RAG plugin for DSH (DeepSeek Harness) : it turns PDF/Zotero literature into a SQLite knowledge base with section structure and vector indexes, providing the full hybrid search + rerank + cited-QA workflow. All indexing, embedding, and reranking run locally — zero API cost, zero upload. Features - 8 model tools : kb ingest (file/folder ingest), kb zotero (Zotero migration), kb search (hybrid search), kb rag (cited QA), kb scope (scope/strict mode), kb dedup (dedup), kb c…

在 GitHub 查看完整 README →
搜索deepseek-harnessdshdsh-pluginknowledge-baseliteratureragzotero

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