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Remove orphaned data and vacuum the database to reclaim disk space.

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Usage

qmd cleanup

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What Gets Cleaned

1

Clear LLM cache

Removes cached query expansion and reranking results from previous searches.
2

Remove orphaned embeddings

Deletes embedding chunks for documents that no longer exist.
3

Remove inactive documents

Removes document records marked as inactive (deleted from filesystem but still in index).
4

Vacuum database

Reclaims disk space by compacting the SQLite database file.

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When to Use

Run qmd cleanup when:
  • You’ve removed files from collections and want to reclaim space
  • The cache has grown large and you want to clear it
  • The database file size seems larger than expected
  • After bulk deletions or collection removals
Cleanup is safe to run at any time. It only removes data that is no longer needed.

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Example Output

$ qmd cleanup
✓ Cleared 247 cached API responses
✓ Removed 15 orphaned embedding chunks
✓ Removed 8 inactive document records
✓ Database vacuumed

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Performance Impact

  • Clearing cache means next searches will be slower (query expansion/reranking not cached)
  • Embeddings will need to be regenerated if documents change
  • Vacuum can take a few seconds for large databases
Run qmd cleanup periodically to keep the index lean, especially if you frequently add/remove documents.

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