store-lifecycle

To create a knowledge base from a Git repository or local folder, you use store management tools to initialize a new store and automatically index the directory content. This process ingests files directly into your searchable knowledge base.

Yes, you can index content from web crawls into a knowledge store. The system supports crawling websites like internal documentation sites, automatically extracting content, and making it searchable within seconds.

You monitor background indexing jobs using automated status checks provided by the store management system. This feature tracks job progress, monitors storage usage, and ensures your data indexing tasks complete successfully.

The best way to keep an existing knowledge base up-to-date is by using re-indexing capabilities. Re-indexing automatically scans your connected Git repositories, local folders, or web sources to refresh the stored content.

Store lifecycle management handles data deletion by providing tools to permanently remove outdated or unnecessary knowledge stores. This ensures efficient storage management and maintains an organized knowledge base.

No specific dependencies are required to support automated indexing from Git repositories. The store management system operates independently to ingest data from Git, local folders, and web crawls without external modules.