wiki-finalize-ingest

Consolidating batch import logs merges temporary batch processing files into the central wiki log automatically. This cleans up scattered import records while preserving the full history of your bulk note ingestion in one place.

Rebuilding wiki indexes and updating freshness dates happens automatically during ingest finalization. The process detects new and existing pages, assigns accurate freshness dates, and regenerates all index pages to reflect the newly imported notes.

Automating wiki post-processing tasks like linting and vector embedding is handled through ingest finalization. It optionally runs QMD text re-indexing and generates vector embeddings to ensure knowledge base consistency and semantic search accuracy.

You need python3 and qmd installed to finalize batch wiki ingests. These dependencies are required for executing the log consolidation, index rebuilding, and optional text re-indexing workflows during the post-ingest process.

Stub detection works by identifying incomplete or placeholder pages during the ingest finalization process. It scans the knowledge base after bulk imports to flag entries that require further content expansion.

Wiki search returns outdated results after a batch import because indexes and vector embeddings have not been rebuilt. Running the ingest finalization process re-indexes text and updates semantic search data to resolve inconsistencies.