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QMD - Query Markup Documents

Use Bun instead of Node.js (bun not node, bun install not npm install).

Commands

qmd collection add . --name <n>   # Create/index collection
qmd collection list               # List all collections with details
qmd collection remove <name>      # Remove a collection by name
qmd collection rename <old> <new> # Rename a collection
qmd ls [collection[/path]]        # List collections or files in a collection
qmd context add [path] "text"     # Add context for path (defaults to current dir)
qmd context list                  # List all contexts
qmd context check                 # Check for collections/paths missing context
qmd context rm <path>             # Remove context
qmd get <file>                    # Get document by path or docid (#abc123)
qmd multi-get <pattern>           # Get multiple docs by glob or comma-separated list
qmd status                        # Show index status and collections
qmd update [--pull]               # Re-index all collections (--pull: git pull first)
qmd embed                         # Generate vector embeddings (uses node-llama-cpp)
qmd query <query>                 # Search with query expansion + reranking (recommended)
qmd search <query>                # Full-text keyword search (BM25, no LLM)
qmd vsearch <query>               # Vector similarity search (no reranking)
qmd mcp                           # Start MCP server (stdio transport)
qmd mcp --http [--port N]         # Start MCP server (HTTP, default port 8181)
qmd mcp --http --daemon           # Start as background daemon
qmd mcp stop                      # Stop background MCP daemon

Collection Management

# List all collections
qmd collection list

# Create a collection with explicit name
qmd collection add ~/Documents/notes --name mynotes --mask '**/*.md'

# Remove a collection
qmd collection remove mynotes

# Rename a collection
qmd collection rename mynotes my-notes

# List all files in a collection
qmd ls mynotes

# List files with a path prefix
qmd ls journals/2025
qmd ls qmd://journals/2025

Context Management

# Add context to current directory (auto-detects collection)
qmd context add "Description of these files"

# Add context to a specific path
qmd context add /subfolder "Description for subfolder"

# Add global context to all collections (system message)
qmd context add / "Always include this context"

# Add context using virtual paths
qmd context add qmd://journals/ "Context for entire journals collection"
qmd context add qmd://journals/2024 "Journal entries from 2024"

# List all contexts
qmd context list

# Check for collections or paths without context
qmd context check

# Remove context
qmd context rm qmd://journals/2024
qmd context rm /  # Remove global context

Document IDs (docid)

Each document has a unique short ID (docid) - the first 6 characters of its content hash. Docids are shown in search results as #abc123 and can be used with get and multi-get:

# Search returns docid in results
qmd search "query" --json
# Output: [{"docid": "#abc123", "score": 0.85, "file": "docs/readme.md", ...}]

# Get document by docid
qmd get "#abc123"
qmd get abc123              # Leading # is optional

# Docids also work in multi-get comma-separated lists
qmd multi-get "#abc123, #def456"

Options

# Search & retrieval
-c, --collection <name>  # Restrict search to a collection (matches pwd suffix)
-n <num>                 # Number of results
--all                    # Return all matches
--min-score <num>        # Minimum score threshold
--full                   # Show full document content
--line-numbers           # Add line numbers to output

# Multi-get specific
-l <num>                 # Maximum lines per file
--max-bytes <num>        # Skip files larger than this (default 10KB)

# Output formats (search and multi-get)
--json, --csv, --md, --xml, --files

Development

bun src/qmd.ts <command>   # Run from source
bun link               # Install globally as 'qmd'

Architecture

  • SQLite FTS5 for full-text search (BM25)
  • sqlite-vec for vector similarity search
  • node-llama-cpp for embeddings (embeddinggemma), reranking (qwen3-reranker), and query expansion (Qwen3)
  • Reciprocal Rank Fusion (RRF) for combining results
  • Token-based chunking: 800 tokens/chunk with 15% overlap

Important: Do NOT run automatically

  • Never run qmd collection add, qmd embed, or qmd update automatically
  • Never modify the SQLite database directly
  • Write out example commands for the user to run manually
  • Index is stored at ~/.cache/qmd/index.sqlite

Do NOT compile

  • Never run bun build --compile - it overwrites the shell wrapper and breaks sqlite-vec
  • The qmd file is a shell script that runs bun src/qmd.ts - do not replace it