qmd

Index local text files for hybrid keyword and semantic search.

Updated Apr 23, 2026

Search Tags:#llm #search #mcp #retrieval #local #knowledge-base #hybrid

Ready to run

npx skills add https://github.com/Chris-Chai-Minjae/hermes-agent-r1-bridge --skill qmd-chris-chai-minjae

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: qmd
Source: https://github.com/Chris-Chai-Minjae/hermes-agent-r1-bridge/tree/main/optional-skills/research/qmd
Command: npx skills add https://github.com/Chris-Chai-Minjae/hermes-agent-r1-bridge --skill qmd-chris-chai-minjae

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Local, on-device search across notes, docs, and meeting transcripts using a hybrid retrieval engine that combines BM25, vector search, and LLM reranking, with no cloud dependency.

Core Features & Use Cases

Hybrid search across markdown notes, documentation, and transcripts
Local embeddings with fast retrieval and reranking
MCP integration to connect Hermes Agent workflows (optional)

Quick Start

Run a local search across notes, docs, and transcripts using qmd to retrieve and rank results.

Frequently Asked Questions about qmd

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I search local markdown notes and meeting transcripts offline?▼

To search local markdown notes and meeting transcripts offline, you can use a local retrieval engine that indexes text files on-device and returns keyword and semantic results without cloud dependency.

What is hybrid retrieval and how does BM25 combine with vector search for local knowledge bases?▼

Hybrid retrieval for local knowledge bases combines BM25 keyword matching with vector search and LLM reranking, enabling fast on-device indexing and highly relevant semantic results across text files.

Can I run on-device semantic search across documentation without sending data to the cloud?▼

Yes, you can run on-device semantic search across documentation without cloud dependency by using local embeddings and a hybrid retrieval stack that processes and ranks all data offline.

Does local knowledge-base search work with MCP integration for agent workflows?▼

Local knowledge-base search supports optional MCP integration, allowing you to connect on-device hybrid retrieval results directly into Hermes Agent workflows and automate downstream tasks.

What's the best way to index and retrieve meeting transcripts in an offline environment?▼

The best way to index meeting transcripts offline is using a local hybrid retrieval engine that processes text files on-device, applying BM25 and vector search to return and rerank relevant results quickly.