Workspace Search (qmd)

Local workspace search for Canvas Notebook. Searches direct text files via workspace-text and derived document text such as DOCX extracts via workspace-derived.

When to Use

Use this skill when the user requests:

• "Search my notes"
• "Find related documents"
• "Search my workspace"
• "Search for ... in my workspace"
• "Where is ..."
• "Finde ..."

Default Behavior

• Use the PI tool contract: qmd({ query, mode, limit, collection })
• Prefer mode=search (BM25) - fast and safe as the default
• Use mode=vsearch only if keyword search fails and semantic similarity is needed
• Avoid mode=query unless it was explicitly enabled for this runtime or the user explicitly asks for the expensive path

Parameters

• query (required): Search query
• mode: Search mode (search, vsearch, query). Default: search
• collection: Collection to search. Default: workspace-text + workspace-derived
• limit: Maximum number of results. Default: 10

Search Modes

• qmd search (default): Fast keyword search (BM25)
• qmd vsearch (last resort): Semantic similarity (vector). Often slow due to local LLM before lookup.
• qmd query (mostly skip): Hybrid search + LLM reranking. Often slower than vsearch.

Examples

Standard search: qmd({ query: "my search term", mode: "search" })

Specific collection: qmd({ query: "search term", collection: "workspace-text" })

More results: qmd({ query: "search term", limit: 10 })

Semantic search (slower): qmd({ query: "conceptually similar content", mode: "vsearch" })

Requirements

• Bun >= 1.0.0 (automatically installed)
• SQLite3 (available in container)