Index and query markdown notes with BM25, vector search, and LLM reranking.
npx skills add https://github.com/superfhp/lumi-agent --skill qmd-superfhp
Please help me install this Agent Skill. Skill: qmd Source: https://github.com/superfhp/lumi-agent/tree/main/optional-skills/research/qmd Command: npx skills add https://github.com/superfhp/lumi-agent --skill qmd-superfhp
This Skill provides local, on-device search for personal knowledge bases, notes, and documents, eliminating the need for cloud dependencies and improving privacy.
Use the qmd skill to search for "database migration" in your personal notes.
High-intent search queries and answers about installing and using this skill.
To search markdown notes locally without cloud dependencies, you can use a local search engine that indexes documents entirely on your device. This approach ensures privacy and reduces latency by eliminating external network calls.
Hybrid search for personal knowledge bases combines keyword matching, semantic understanding, and LLM reranking. This mechanism provides comprehensive search results by leveraging both exact term retrieval and contextual document analysis.
Yes, you need Node.js and SQLite with extension support to run this local markdown search. These dependencies provide the runtime environment and database layer required for indexing documents and executing queries.
You index and query markdown transcripts by running a local search engine that processes your notes, documents, and transcripts. Once indexed, you can execute queries using BM25, vector search, and LLM reranking for accurate retrieval.
Yes, local AI knowledge retrieval integrates with Hermes Agent via MCP. This integration allows you to use the search functionality seamlessly within the agent's environment for querying your notes.
RheasilviaIndex local markdown notes, transcripts, and documentation for hybrid search.
majunbaoFetch OpenAI documentation via MCP to answer API and platform questions.
ChimeraFoundationaIndex local markdown notes, transcripts, and docs for hybrid on-device search.
JuanMS20Index Markdown and text files for local hybrid search with BM25, vectors, and reranking.
