structured-notes

Schema validation for structured notes ensures agent notes conform to a defined format, making them machine-consumable. This process guarantees data quality for recall-eval scoring and precision@k assessments in agent-driven knowledge bases.

You validate structured notes by running the 'validateNote' pure function or CLI against your generated note objects. This checks formatting conformity against the predefined schema, normalizing the data for machine consumption.

You need schema validation for agent notes when formatting data for recall harnesses and agent-driven knowledge bases. It ensures precise parsing so recall systems can accurately extract subject, claim, and confidence level fields.

Yes, schema validation supports recall-eval scoring and precision@k assessments by normalizing agent notes into a machine-consumable format. This structured conversion enables recall harnesses to parse and extract required fields accurately.

Limitations of normalizing structured notes with pure functions include strict dependency on the predefined schema for formatting. Any note object failing schema validation will not be machine-consumable, requiring strict adherence to the defined structure.