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MCP server · RAG

Kb Rag

· github.com/q1ngn1ng-web/kb-rag

个人知识库引擎：PDF/Word/EPUB → LLM 实体关系图谱 + 混合检索（向量+BM25+RRF 融合）+ 0.92 语义缓存 + Obsidian 实体隔离导出 + MCP（Claude/Cursor 直连）。智能 PDF 分类器（公式密度≥2% 自动 MinerU），懒初始化 + 生产级异步鲁棒性。欢迎贡献示例与 benchmark。

Unclaimed entity-extrationhybrid-retrievalknowledge-baselightragmcpobsidianpythonsementic-cache
InstallView source
34Low

Scored a month ago · breakdown

About Kb Rag

Kb Rag is an MCP server in the RAG category: 个人知识库引擎：PDF/Word/EPUB → LLM 实体关系图谱 + 混合检索（向量+BM25+RRF 融合）+ 0.92 语义缓存 + Obsidian 实体隔离导出 + MCP（Claude/Cursor 直连）。智能 PDF 分类器（公式密度≥2% 自动 MinerU），懒初始化 + 生产级异步鲁棒性。欢迎贡献示例与 benchmark。.

Install

From source
git clone https://github.com/q1ngn1ng-web/kb-rag

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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About Kb Rag

How do I install Kb Rag?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Kb Rag safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Kb Rag still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.