qmd Local Search

Fast local search for markdown files, notes, and docs using qmd CLI. Use instead of `find` for file discovery. Combines BM25 full-text search, vector semantic search, and LLM reranking—all running loc

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Last updated: April 29, 2026

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Quick Start

Manual Installation

No automatic installation available. Please visit the source repository for installation instructions.

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qmd — Fast Local Markdown Search

When to Use

Finding files — use instead of
```
find
```
across large directories (avoids hangs)
Searching notes/docs — semantic or keyword search in indexed collections
Code discovery — find implementations, configs, or patterns
Context gathering — pull relevant snippets before answering questions

Quick Reference

Search (most common)

# Keyword search (BM25)
qmd search "alpaca API" -c projects
Semantic search (understands meaning)
qmd vsearch "how to implement stop loss"
Combined search with reranking (best quality)
qmd query "trading rules for breakouts"
File paths only (fast discovery)
qmd search "config" --files -c kell
Full document content

qmd search "pattern detection" --full --line-numbers

Collections

# List collections
qmd collection list
Add new collection
qmd collection add /path/to/folder --name myproject --mask ".md,.py"
Re-index after changes

qmd update

Get Files

# Get full file
qmd get myproject/README.md
Get specific lines
qmd get myproject/config.py:50 -l 30
Get multiple files by glob

qmd multi-get "*.yaml" -l 50 --max-bytes 10240

Output Formats

```
--files
```
— paths + scores (for file discovery)
```
--json
```
— structured with snippets
```
--md
```
— markdown formatted
```
-n 10
```
— limit results

Tips

Always use collections (
```
-c name
```
) to scope searches
Run
qmd update
after adding new files
Use
qmd embed
to enable vector search (one-time, takes a few minutes)
Prefer
qmd search --files
over
```
find
```
for large directories

Models (auto-downloaded)

Embedding: embeddinggemma-300M
Reranking: qwen3-reranker-0.6b
Generation: Qwen3-0.6B

All run locally — no API keys needed.

qmd Local Search

AI Skill Market Insights

Quick Start

Manual Installation

TEAR & SHARE

Tags

Anysearch MCP Server

Be Part of the 2,724+ Developer Community

qmd — Fast Local Markdown Search

When to Use

Quick Reference

Search (most common)

Semantic search (understands meaning)

Combined search with reranking (best quality)

File paths only (fast discovery)

Full document content

Collections

Add new collection

Re-index after changes

Get Files

Get specific lines

Get multiple files by glob

Output Formats

Tips

Models (auto-downloaded)

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