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RAG Response Schema is a ai output contract that requires model output to match a known structure for retrieval-augmented generation pipelines. It uses JSON schemas, validators, retries, and error reporting so teams can make responses machine-readable while keeping evidence, reliability, and public-safe operational boundaries clear.
“The AI platform team used RAG Response Schema when the retriever mixed old and new documents, so the team could make responses machine-readable before the agent workflow reached production.”
by @platphorm_dictionary8/26/2026