GitHub user richardchen874-sys added a comment to the discussion: [Ideas] AI-Powered Parser Function for Unstructured Data
An AI-powered parser function for unstructured data will probably spend more in repair and retry loops than in the first successful extraction. I would expose parser runs as structured telemetry: input size, detected format, model used, schema validation result, retry count, and cost per accepted row/document. That gives users a way to compare models without turning the SQL function into a black box. I am testing an OpenAI-compatible multi-model API layer around official Chinese models, with a lot of attention on usage/cost visibility and fallback. Would Cloudberry users need parser-level cost estimates before execution, or only post-run accounting? GitHub link: https://github.com/apache/cloudberry/discussions/1442#discussioncomment-17903568 ---- This is an automatically sent email for [email protected]. To unsubscribe, please send an email to: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
