Index local markdown files and run hybrid BM25-vector-reranker queries.
npx skills add https://github.com/aiguy611/cc-tools --skill qmd-aiguy611
Please help me install this Agent Skill. Skill: qmd Source: https://github.com/aiguy611/cc-tools/tree/main/.github/skills/qmd Command: npx skills add https://github.com/aiguy611/cc-tools --skill qmd-aiguy611
Locally-powered search across markdown collections by combining fast BM25 keyword matching with vector embeddings and LLM-based re-ranking, enabling precise results without cloud access.
Install qmd globally, add a collection, run embedding, then begin searching with qmd query.
High-intent search queries and answers about installing and using this skill.
Hybrid search across local markdown combines BM25 keyword matching with vector embeddings and LLM-based re-ranking. This approach fuses semantic concepts with exact keywords, returning calibrated results that single-method searches miss.
Hybrid search across local markdown combines BM25 keyword matching with vector embeddings and LLM-based re-ranking. This approach fuses semantic concepts with exact keywords, returning calibrated results that single-method searches miss.
Hybrid search across local markdown combines BM25 keyword matching with vector embeddings and LLM-based re-ranking. This approach fuses semantic concepts with exact keywords, returning calibrated results that single-method searches miss.
Hybrid search across local markdown combines BM25 keyword matching with vector embeddings and LLM-based re-ranking. This approach fuses semantic concepts with exact keywords, returning calibrated results that single-method searches miss.
Hybrid search across local markdown combines BM25 keyword matching with vector embeddings and LLM-based re-ranking. This approach fuses semantic concepts with exact keywords, returning calibrated results that single-method searches miss.
cdeistopenedIndex and search local Markdown collections with BM25 and vector embeddings.
Blake-JohnConvert PDF documents into Markdown, JSON, and text for LLM workflows.
JSai23Enable semantic search of local vault notes using qmd with BM25, vector search, and LLM re-ranking.
pbdeuchlerSearch markdown collections using BM25, vector, and hybrid re-ranking.
