Index and search local markdown notes using BM25, vector search, and LLM reranking.
npx skills add https://github.com/THTProtocol/lastochka --skill qmd-thtprotocol
Please help me install this Agent Skill. Skill: qmd Source: https://github.com/THTProtocol/lastochka/tree/main/optional-skills/research/qmd Command: npx skills add https://github.com/THTProtocol/lastochka --skill qmd-thtprotocol
This Skill provides seamless local search capabilities for personal knowledge bases, notes, and documentation, eliminating the need for cloud-based search services.
Add your note collections to qmd using the 'qmd collection add' command and start searching your notes with 'qmd search "keyword"'
High-intent search queries and answers about installing and using this skill.
Local markdown notes search without a cloud service is achieved by indexing files on-device and querying them directly. This Skill uses BM25, vector search, and LLM reranking to find information across text-based collections without cloud dependencies.
The best way to find specific text across markdown files is using a hybrid search engine. It combines BM25 keyword matching, vector search, and LLM reranking to deliver precise results from your local knowledge base.
Yes, local search engine integration with command-line interfaces is fully supported. It provides a CLI for adding collections and searching notes, alongside Lastochka MCP integration to fit within your current workflow.
Yes, you can use vector search and BM25 together for personal knowledge base retrieval. This Skill combines both methods with LLM reranking to provide highly precise hybrid search results for your local documents.
On-device knowledge base search supports text-based files including markdown notes, meeting transcripts, and documentation. It indexes these local files to provide efficient access without requiring cloud connectivity.
To add note collections and start searching, use the 'qmd collection add' command to index your files. Once indexed, use the 'qmd search "keyword"' command to query your local knowledge base directly from your workflow.
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