q1ngn1ng-web/kb-rag

Personal knowledge base engine: PDF/Word/EPUB → LLM entity relationship graph + hybrid retrieval (vector + BM25 + RRF fusion) + 0.92 semantic cache + Obsidian entity-isolated export + MCP (direct connection to Claude/Cursor). Intelligent PDF classifier (automatically uses MinerU when formula density ≥2%), lazy initialization, and production-grade asynchronous robustness. Contributions of examples and benchmarks are welcome.

These files are q1ngn1ng-web/kb-rag's own configuration. They tell Claude Code, OpenCode and Codex how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.

5Stars on the repository
11Files it configures its agents with
1,225Tokens loaded in every session
3Agents configured

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