Search indexed markdown notes using BM25, vector, and hybrid modes.
npx skills add https://github.com/JuanJoseGonGi/skills --skill qmd-juanjosegongi
Please help me install this Agent Skill. Skill: qmd Source: https://github.com/JuanJoseGonGi/skills/tree/main/qmd Command: npx skills add https://github.com/JuanJoseGonGi/skills --skill qmd-juanjosegongi
This Skill provides a fast, local search engine for markdown notes and documents, enabling quick retrieval of information from your personal knowledge base.
Search your local markdown notes for documents related to "AI agent development".
High-intent search queries and answers about installing and using this skill.
You can search local markdown notes using BM25 keyword search to find near-instantaneous matches for specific terms within your indexed personal knowledge base.
Hybrid search for markdown documents combines traditional BM25 keyword matching with vector-based semantic search to retrieve comprehensive results from local note collections.
Semantic vector search finds related markdown notes by matching conceptual meaning, allowing you to retrieve relevant documents even when exact keywords are absent.
Local markdown search supports collection-specific searches and result filtering, enabling targeted retrieval from individual indexed document collections.
Using a local hybrid search engine is the best way to retrieve documents from a personal knowledge base, offering keyword, semantic, and combined search modes for fast information retrieval.
sandalsoftIndex and search local Markdown collections with BM25, semantic, or hybrid search.
aivos-xieParse Markdown documents into a structured knowledge base for cross-referencing and queries.
agentuityUpsert vectors with metadata and embeddings into a cloud vector store.
LinklyAISearch, browse, and read local and cloud documents indexed by Linkly AI.
