Index local files and search them with BM25-based ranking.
npx skills add https://github.com/joeleung0122/testing --skill qmd-joeleung0122
Please help me install this Agent Skill. Skill: qmd Source: https://github.com/joeleung0122/testing/tree/main/skills/qmd Command: npx skills add https://github.com/joeleung0122/testing --skill qmd-joeleung0122
Indexing local files to enable fast, accurate search across personal or project data without relocating data to a central service.
Run the qmd CLI to index your documents and perform a search.
High-intent search queries and answers about installing and using this skill.
You can search local files using BM25 and vector similarity by indexing your personal data stores or developer projects with a CLI tool. This builds local indexes for quick retrieval without relocating data to a central service.
The best way to find a code snippet across a local workspace is using a hybrid search approach. It combines BM25 ranking with vector similarity and optional reranking to improve relevance for natural language queries.
Yes, you can build a local search index for a personal knowledge base without uploading data. The tool runs as a CLI on your device, indexing local files to enable on-device search tasks while keeping data private.
Hybrid search with BM25 and reranking improves document retrieval relevance by combining traditional keyword-based ranking with vector similarity. Applying optional reranking further refines the results for more accurate local file searches.
You should use a local CLI search tool instead of a centralized search service when you need on-device search tasks for personal data stores or developer projects. It allows you to index local files for fast retrieval without relocating data.
qmd combines BM25 indexing with vector search to deliver accurate local search results. BM25 handles keyword matching while vector search captures semantic similarity, and optional reranking optimizes the final order.
Yangel-hideSearch local knowledge stores with hybrid BM25, vector, and LLM reranking.
s-hiraokuSearch the web and local businesses via Brave Search MCP.
NotysotyDesign hybrid retrieval pipelines combining dense vector search with BM25 keyword matching.
RheasilviaIndex local markdown notes, transcripts, and documentation for hybrid search.
