validate

To validate referential integrity after data updates, run validation scripts to ensure all source_ids point to existing sources. This process applies before commits to catch cross-reference integrity issues across claims, sources, and chains.

Schema validation verifies that database records conform to the expected schema structure. It enforces data quality checks by detecting missing fields, duplicates, and ID format errors to ensure data integrity before committing changes.

You can check for duplicate records and missing fields by running the rc-validate command or uv run python scripts/validate.py. This executes data quality checks automatically to detect schema conformity issues before you commit updates.

You should run database integrity checks after adding data or before committing changes. Running validation at these points ensures cross-reference integrity, embedding presence, and schema conformance across claims, sources, and chains.

Yes, automated validation scripts verify embedding presence and enforce ID format checks. They validate cross-reference integrity across claims, sources, and chains to ensure complete data consistency before commits.