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base repository: sqliteai/sqlite-memory
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base: 1.3.4
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head repository: sqliteai/sqlite-memory
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compare: 1.3.5
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  • 1 commit
  • 5 files changed
  • 1 contributor

Commits on Jun 10, 2026

  1. feat: support deferred embedding generation (#12) 

    Add a defer_embeddings option that stores content without computing
embeddings or FTS entries, so callers (e.g. a dashboard upload) can add
files instantly without an embedding model and index them later from a
background process.

- memory_set_option('defer_embeddings', 1): memory_add_* functions only
  store content in dbmem_content; requires save_content=1
- memory_embed_pending([limit]): embeds pending rows in batches, one
  SAVEPOINT per file, so an interrupted worker can be safely retried;
  rekeys rows whose stored hash no longer matches the current
  preserve_duplicate_paths scope
- memory_pending_count(): number of rows awaiting embeddings, for
  progress reporting
- memory_list_files(): file nodes now include an "indexed" boolean
- content parsing to zero chunks (e.g. whitespace-only) now inserts a
  zero-length sentinel row in dbmem_vault marking it processed, so it
  exits the pending state and memory_reindex stops re-parsing it
  (sqlite-vector >= 0.9.80 skips undersized blobs during scans)
    @andinux
    andinux authored Jun 10, 2026
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